50114 Courses in Cardiff delivered Online

Duration 2 Days 12 CPD hours This course is intended for Experienced DataStage developers seeking training in more advanced DataStage job techniques and who seek techniques for working with complex types of data resources. Overview Use Connector stages to read from and write to database tables Handle SQL errors in Connector stages Use Connector stages with multiple input links Use the File Connector stage to access Hadoop HDFS data Optimize jobs that write to database tables Use the Unstructured Data stage to extract data from Excel spreadsheets Use the Data Masking stage to mask sensitive data processed within a DataStage job Use the Hierarchical stage to parse, compose, and transform XML data Use the Schema Library Manager to import and manage XML schemas Use the Data Rules stage to validate fields of data within a DataStage job Create custom data rules for validating data Design a job that processes a star schema data warehouse with Type 1 and Type 2 slowly changing dimensions This course is designed to introduce you to advanced parallel job data processing techniques in DataStage v11.5. In this course you will develop data techniques for processing different types of complex data resources including relational data, unstructured data (Excel spreadsheets), and XML data. In addition, you will learn advanced techniques for processing data, including techniques for masking data and techniques for validating data using data rules. Finally, you will learn techniques for updating data in a star schema data warehouse using the DataStage SCD (Slowly Changing Dimensions) stage. Even if you are not working with all of these specific types of data, you will benefit from this course by learning advanced DataStage job design techniques, techniques that go beyond those utilized in the DataStage Essentials course. Accessing databases Connector stage overview - Use Connector stages to read from and write to relational tables - Working with the Connector stage properties Connector stage functionality - Before / After SQL - Sparse lookups - Optimize insert/update performance Error handling in Connector stages - Reject links - Reject conditions Multiple input links - Designing jobs using Connector stages with multiple input links - Ordering records across multiple input links File Connector stage - Read and write data to Hadoop file systems Demonstration 1: Handling database errors Demonstration 2: Parallel jobs with multiple Connector input links Demonstration 3: Using the File Connector stage to read and write HDFS files Processing unstructured data Using the Unstructured Data stage in DataStage jobs - Extract data from an Excel spreadsheet - Specify a data range for data extraction in an Unstructured Data stage - Specify document properties for data extraction. Demonstration 1: Processing unstructured data Data masking Using the Data Masking stage in DataStage jobs - Data masking techniques - Data masking policies - Applying policies for masquerading context-aware data types - Applying policies for masquerading generic data types - Repeatable replacement - Using reference tables - Creating custom reference tables Demonstration 1: Data masking Using data rules Introduction to data rules - Using the Data Rules Editor - Selecting data rules - Binding data rule variables - Output link constraints - Adding statistics and attributes to the output information Use the Data Rules stage to valid foreign key references in source data Create custom data rules Demonstration 1: Using data rules Processing XML data Introduction to the Hierarchical stage - Hierarchical stage Assembly editor - Use the Schema Library Manager to import and manage XML schemas Composing XML data - Using the HJoin step to create parent-child relationships between input lists - Using the Composer step Writing Hierarchical data to a relational table Using the Regroup step Consuming XML data - Using the XML Parser step - Propagating columns Topic 6: Transforming XML data - Using the Aggregate step - Using the Sort step - Using the Switch step - Using the H-Pivot step Demonstration 1: Importing XML schemas Demonstration 2: Compose hierarchical data Demonstration 3: Consume hierarchical data Demonstration 4: Transform hierarchical data Updating a star schema database Surrogate keys - Design a job that creates and updates a surrogate key source key file from a dimension table Slowly Changing Dimensions (SCD) stage - Star schema databases - SCD stage Fast Path pages - Specifying purpose codes - Dimension update specification - Design a job that processes a star schema database with Type 1 and Type 2 slowly changing dimensions Demonstration 1: Build a parallel job that updates a star schema database with two dimensions Additional course details: Nexus Humans KM423 IBM InfoSphere DataStage v11.5 - Advanced Data Processing training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the KM423 IBM InfoSphere DataStage v11.5 - Advanced Data Processing course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 5 Days 30 CPD hours This course is intended for Experienced security administrators Overview By the end of the course, you should be able to meet the following objectives: Define the concepts related to information security Explain the different types of firewalls and their use cases Describe the operation of intrusion detection and intrusion prevention systems Differentiate between Malware Prevention approaches Describe the VMware intrinsic security portfolio Use NSX segmentation to implement Zero-Trust Security Configure user and role management Configure and troubleshoot Distributed Firewall, Identity Firewall, and time-based policies Configure and troubleshoot Gateway Security Use VMware Aria Operations™ for Logs and VMware Aria Operations™ for Networks to operate NSX firewalls Explain the security best practices related to grouping, tagging, and rule configuration Describe north-south and east-west service insertion Describe endpoint protection Configure and troubleshoot IDS/IPS Deploy NSX Application Platform Configure and troubleshoot NSX Malware Prevention Describe the capabilities of NSX Intelligence and NSX NDR This five-day, hands-on training course provides you with the knowledge, skills, and tools to achieve competency in configuring, operating, and troubleshooting VMware NSX© for intrinsic security. This course introduces all the security features in NSX, including Distributed Firewall and Gateway Firewall, Intrusion Detection and Prevention (IDS/IPS), NSX Application Platform, NSX Malware Prevention, VMware NSX© Intelligence?, and VMware NSX© NDR?. In addition, this course presents common configuration issues and gives a methodology to resolve them. Course Introduction Introduction and course logistics Course objectives Security Basics Define the concepts related to information security Explain the different types of firewalls and their use cases Describe the operation of IDS/IPS Differentiate between Malware Prevention approaches VMware Intrinsic Security Define the VMware intrinsic security strategy Describe the VMware intrinsic security portfolio Explain how NSX aligns with the intrinsic security strategy Implementing Zero-Trust Security Define Zero-Trust Security Describe the five pillars of a Zero-Trust architecture Define NSX segmentation and its use cases Describe the steps needed to enforce Zero-Trust with NSX segmentation User and Role Management Integrate NSX and VMware Identity Manager? Integrate NSX and LDAP Describe the native users and roles in NSX Create and assign custom user roles Explain object-based RBAC in a multitenancy environment Distributed Firewall Configure Distributed Firewall rules and policies Describe the NSX Distributed Firewall architecture Troubleshoot common problems related to NSX Distributed Firewall Configure time-based policies Configure Identity Firewall rules Configure the distributed firewall to block malicious IPs Gateway Security Configure Gateway Firewall rules and policies Describe the architecture of the Gateway Firewall Identify and troubleshoot common Gateway Firewall issues Configure TLS Inspection to decrypt traffic for both internal and external services Configure URL filtering and identify common configuration issues Operating Internal Firewalls Use VMware Aria Operations for Logs and VMware Aria Operations for Networks to operate NSX firewalls Explain security best practices related to grouping, tagging, and rule configuration Network Introspection Explain network introspection Describe the architecture and workflows of north-south and east-west service insertion Troubleshoot north-south and east-west service insertion Endpoint Protection Explain endpoint protection Describe the architecture and workflows of endpoint protection Troubleshoot endpoint protection Intrusion Detection and Prevention Describe the MITRE ATT&CK framework Explain the different phases of a cyber attack Describe how NSX security solutions can be used to protect against cyber attacks Configure and troubleshoot Distributed IDS/IPS Configure and troubleshoot North-South IDS/IPS NSX Application Platform Describe NSX Application Platform and its use cases Identify the topologies supported for the deployment of NSX Application Platform Deploy NSX Application Platform Explain the NSX Application Platform architecture and services Validate the NSX Application Platform deployment and troubleshoot common issues NSX Malware Prevention Identify use cases for NSX Malware Prevention Identify the components in the NSX Malware Prevention architecture Describe the NSX Malware Prevention packet flows for known and unknown files Configure NSX Malware Prevention for east-west and north-south traffic NSX Intelligence and NSX NDR Describe NSX Intelligence and its use cases Explain NSX Intelligence visualization, recommendation, and network traffic analysis capabilities Describe NSX NDR and its use cases Explain the architecture of NSX NDR in NSX Describe the visualization capabilities of NSX NDR Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware NSX for Intrinsic Security [V4.x] training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the VMware NSX for Intrinsic Security [V4.x] course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for This course is intended for: Those who will provide container orchestration management in the AWS Cloud including: DevOps engineers Systems administrators Overview In this course, you will learn to: Review and examine containers, Kubernetes and Amazon EKS fundamentals and the impact of containers on workflows. Build an Amazon EKS cluster by selecting the correct compute resources to support worker nodes. Secure your environment with AWS Identity and Access Management (IAM) authentication by creating an Amazon EKS service role for your cluster Deploy an application on the cluster. Publish container images to ECR and secure access via IAM policy. Automate and deploy applications, examine automation tools and pipelines. Create a GitOps pipeline using WeaveFlux. Collect monitoring data through metrics, logs, tracing with AWS X-Ray and identify metrics for performance tuning. Review scenarios where bottlenecks require the best scaling approach using horizontal or vertical scaling. Assess the tradeoffs between efficiency, resiliency, and cost and impact for tuning one over the other. Describe and outline a holistic, iterative approach to optimizing your environment. Design for cost, efficiency, and resiliency. Configure the AWS networking services to support the cluster. Describe how EKS/Amazon Virtual Private Cloud (VPC) functions and simplifies inter-node communications. Describe the function of VPC Container Network Interface (CNI). Review the benefits of a service mesh. Upgrade your Kubernetes, Amazon EKS, and third party tools Amazon EKS makes it easy for you to run Kubernetes on AWS without needing to install, operate, and maintain your own Kubernetes control plane. In this course, you will learn container management and orchestration for Kubernetes using Amazon EKS. You will build an Amazon EKS cluster, configure the environment, deploy the cluster, and then add applications to your cluster. You will manage container images using Amazon Elastic Container Registry (ECR) and learn how to automate application deployment. You will deploy applications using CI/CD tools. You will learn how to monitor and scale your environment by using metrics, logging, tracing, and horizontal/vertical scaling. You will learn how to design and manage a large container environment by designing for efficiency, cost, and resiliency. You will configure AWS networking services to support the cluster and learn how to secure your Amazon EKS environment. Module 0: Course Introduction Course preparation activities and agenda Module 1: Container Fundamentals Best practices for building applications Container fundamentals Components of a container Module 2: Kubernetes Fundamentals Container orchestration Kubernetes objects Kubernetes internals Preparing for Lab 1: Deploying Kubernetes Pods Module 3: Amazon EKS Fundamentals Introduction to Amazon EKS Amazon EKS control plane Amazon EKS data plane Fundamentals of Amazon EKS security Amazon EKS API Module 4: Building an Amazon EKS Cluster Configuring your environment Creating an Amazon EKS cluster Demo: Configuring and deploying clusters in the AWS Management Console Working with eksctl Preparing for Lab 2: Building an Amazon EKS Cluster Module 5: Deploying Applications to Your Amazon EKS Cluster Configuring Amazon Elastic Container Registry (Amazon ECR) Demo: Configuring Amazon ECR Deploying applications with Helm Demo: Deploying applications with Helm Continuous deployment in Amazon EKS GitOps and Amazon EKS Preparing for Lab 3: Deploying App Module 6: Configuring Observability in Amazon EKS Configuring observability in an Amazon EKS cluster Collecting metrics Using metrics for automatic scaling Managing logs Application tracing in Amazon EKS Gaining and applying insight from observability Preparing for Lab 4: Monitoring Amazon EKS Module 7: Balancing Efficiency, Resilience, and Cost Optimization in Amazon EKS The high level overview Designing for resilience Designing for cost optimization Designing for efficiency Module 8: Managing Networking in Amazon EKS Review: Networking in AWS Communicating in Amazon EKS Managing your IP space Deploying a service mesh Preparing for Lab 5: Exploring Amazon EKS Communication Module 9: Managing Authentication and Authorization in Amazon EKS Understanding the AWS shared responsibility model Authentication and authorization Managing IAM and RBAC Demo: Customizing RBAC roles Managing pod permissions using RBAC service accounts Module 10: Implementing Secure Workflows Securing cluster endpoint access Improving the security of your workflows Improving host and network security Managing secrets Preparing for Lab 6: Securing Amazon EKS Module 11: Managing Upgrades in Amazon EKS Planning for an upgrade Upgrading your Kubernetes version Amazon EKS platform versions Additional course details: Nexus Humans Running Containers on Amazon Elastic Kubernetes Service (Amazon EKS) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Running Containers on Amazon Elastic Kubernetes Service (Amazon EKS) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 5 Days 30 CPD hours This course is intended for This course is intended for an IT person wanting to learn about administrating SharePoint 2016. Overview After completing this course, you will be able to: The Installation and configure a SharePoint 2016 Farm How to manage a SharePoint 2016 Farm through the GUI and PowerShell How to create site collections via GUI and PowerShell How to create and configure the all the required service applications for SharePoint 2016 How to backup and restore in SharePoint 2016 This SharePoint 2016 Administrator course is design for Administrators who are new to SharePoint Server Administration or who are upgrading from previous versions of SharePoint.This course covers content that was in retired Microsoft Course 20339-1. Module 1: Hardware, Installation and Patching How to build a Min Role Farm How to View ULS Logs How to document and check IIS Settings for SharePoint 2016 Module 2: Farm Management How to manage the SharePoint Farm Administors group How to configure Outgoing Email How to configure Incoming Email How to Configure Diagnostic and Usage Log Options Module 3: Web Applications How to define a new Managed Account How to add new IP Addresses to a SharePoint Server How to create a claims based web application in SharePoint Central Administration How to create a claims based web application in PowerShell How to create a hosting web application in PowerShell Module 4: Site Collections How to create a managed path How to create a site collection using SharePoint Central Administration How to create a site collection using PowerShell How to create a site collection in its own database using SharePoint Central Administration How to create a site collection in its own database using PowerShell How to create a host named site collection using PowerShell Module 5: Service Applications How to create a State Service Application How to create a Search Service Application How to create the Managed Metadate Service Module 6: Application Management How to add a new IP and Certificate to a SharePoint Web Application How to configure DNS for SharePoint Web Application How to Create a Subscription Settings Service Application How to create the Application Management Application Service How to configure the application URLs How to create the App Catalog Site Colleciton How to Add Apps to the catalog Module 7: Managing the User Profile Service How to create the My Site Web Application How to create the User Profile Service Application How to Configure the User Profile Synchronization Permissions How to create the Active Directory Import Connection How to assign permissions for the AD Group to create a My Site How to create a My Site Module 8: Search How to view the currenty Search Topology How to create an Enterprise Search Centre How to configure a new search schema property How to create a site collection-level result source How to create a new content source Module 9: Office Online Server How to install the pre-requisites for Office Online Server How to install the Office Online Server Binaries How to create the Office Online Server SSL Certifcate How to create the Office Online Server Farm How to connect to the farm from SharePoint How to test the connectivity Module 10: Enterprise Content Management How to create and Apply a site policy How to create discovery sets How to configure In Place records management How to configure the records centre How to configure DLP Module 11: Web Content Management How to configure cross-site publication How to configure content deployment Module 12: Workflow Server How to install Workflow Manger server and Client Binaires How to configure the workflow farm How to patch the workflow farm manager and clients How to register the workflow service in SharePoint How to test Workflow creation Module 13: Business Connectity Services and Secure Store How to configure the secure store service How to create the BCS service Application How to setup the products database How to import the BCS Definition How to use the BDC file in a list web part Module 14: Hybrid SharePoint Shown and Demonstrated the Hybrid features of SharePoint 2016 Module 15: Backup and Restore How to backup SharePoint 2016 Content How to delete SharePoint 2016 Content How to restore SharePoint 2016 Content via PowerShell How to recover a unattached content database Module 16: Upgrade How to restore and attach a SharePoint 2013 Database How to upgrade a SharePoint 2013 MMS Service Application Additional course details: Nexus Humans 55355 SharePoint 2016 Administration training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the 55355 SharePoint 2016 Administration course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for Telco cloud system administrators and telco network operations engineers Professionals who work with telco or enterprise and datacenter networks Designers and operations engineers who manage telco workloads Overview By the end of the course, you should be able to meet the following objectives: List VMware Telco Cloud Platform layered architecture and deployment procedures Describe the VMware Telco Cloud Platform virtual infrastructure requirements List the use cases of VMware vSphere and VMware vCenter Server Describe the VMware Telco Cloud Platform networking and storage requirements Describe the architecture of VMware Tanzu™ Standard for Telco Configure management and workload clusters for containers as a service functionality Instantiate network services and network functions Enumerate troubleshooting concepts and Day 2 operations for VMware Telco Cloud Platform This three-day, hands-on training course provides you with the advanced knowledge, skills, and tools to achieve competency in operating and troubleshooting the VMware Telco Cloud Platform? environment. In this course, you are introduced to the VMware Telco Cloud Platform infrastructure, deployment options, and procedures. You also deploy Kubernetes clusters and understand the detailed configuration settings of management and workload clusters. You onboard and instantiate network functions and network services using hands-on lab exercises.In addition, you are presented with various types of technical problems in VMware Telco Cloud Platform, which you will identify, analyze, and solve through a systematic troubleshooting process. his three-day, hands-on training course provides you with the advanced knowledge, skills, and tools to achieve competency in operating and troubleshooting the VMware Telco Cloud Platform™ environment. In this course, you are introduced to the VMware Telco Cloud Platform infrastructure, deployment options, and procedures. You also deploy Kubernetes clusters and understand the detailed configuration settings of management and workload clusters. You onboard and instantiate network functions and network services using hands-on lab exercises. In addition, you are presented with various types of technical problems in VMware Telco Cloud Platform, which you will identify, analyze, and solve through a systematic troubleshooting process.

Duration 4 Days 24 CPD hours Overview By the end of the course, you should be able to meet the following objectives: Describe how Tanzu Kubernetes Grid fits in the VMware Tanzu portfolio Describe the Tanzu Kubernetes Grid architecture Deploy and manage Tanzu Kubernetes Grid management and supervisor clusters Deploy and manage Tanzu Kubernetes Grid workload clusters Deploy, configure, and manage Tanzu Kubernetes Grid packages Perform basic troubleshooting During this four-day course, you focus on installing VMware Tanzu© Kubernetes Grid? in a VMware vSphere© environment and provisioning and managing Tanzu Kubernetes Grid clusters. The course covers how to install Tanzu Kubernetes Grid packages for image registry, authentication, logging, ingress, multipod network interfaces, service discovery, and monitoring. The concepts learned in this course are transferable for users who must install Tanzu Kubernetes Grid on other supported clouds. Course Introduction Introductions and course logistics Course objectives Introducing VMware Tanzu Kubernetes Grid Identify the VMware Tanzu products responsible for Kubernetes life cycle management and describe the main differences between them Explain the core concepts of Tanzu Kubernetes Grid, including bootstrap, Tanzu Kubernetes Grid management, supervisor, and workload clusters List the components of a Tanzu Kubernetes Grid instance VMware Tanzu Kubernetes Grid CLI and API Illustrate how to use the Tanzu CLI Define the Carvel Tool set Define Cluster API Identify the infrastructure providers List the Cluster API controllers Identify the Cluster API custom resource definitions Authentication Explain how Kubernetes manages authentication with Management clusters Explain how Kubernetes manages authentication with supervisor clusters Define Pinniped Define Dex Describe the Pinniped authentication workflow Load Balancers Illustrate how load balancing works for the Kubernetes control plane Illustrate how load balancing works for application workload Explain how Tanzu Kubernetes Grid integrates with VMware NSX Advanced Load Balancer List load balancing options available on public clouds VMware Tanzu Kubernetes Grid on vSphere List the requirements for deploying a supervisor cluster List the steps to install a Tanzu Kubernetes Grid supervisor cluster Summarize the events of a supervisor cluster creation List the requirements for deploying a management cluster List the steps to install a Tanzu Kubernetes Grid management cluster Summarize the events of a management cluster creation Demonstrate how to use commands when working with management clusters VMware Tanzu Kubernetes Grid on Public Clouds List the requirements for deploying a management cluster on AWS and Microsoft Azure List the configuration options to install a Tanzu Kubernetes Grid a management cluster on AWS and Azure Tanzu Kubernetes Workload Clusters List the steps to build a custom image Describe the available customizations Identify the options for deploying Tanzu Kubernetes Grid clusters Explain the difference between the v1alpha3 and v1beta1 APIs Explain how Tanzu Kubernetes Grid clusters are created Discuss which VMs compose a Tanzu Kubernetes Grid cluster List the pods that run on a Tanzu Kubernetes Grid cluster Describe the Tanzu Kubernetes Grid core add-ons that are installed on a cluster Tanzu Kubernetes Grid Packages Define the Tanzu Kubernetes Grid packages Explain the difference between Auto-Managed and CLI-Managed packages Define packages repositories Configuring and Managing Tanzu Kubernetes Grid Operation and Analytics Packages Describe Cert-Manager Describe the Harbor Image Registry Describe Fluent Bit Identify the logs that Fluent Bit collects Explain basic Fluent Bit configuration Describe Prometheus and Grafana Configuring and Managing Tanzu Kubernetes Grid Networking Packages Describe the Contour ingress controller Demonstrate how to install Contour on a Tanzu Kubernetes Grid cluster Describe ExternalDNS Demonstrate how to install Service Discovery with ExternalDNS Describe Multus CNI Tanzu Kubernetes Grid Day 2 Operations List the load balancer configuration options in vSphere to load balance applications Demonstrate how to configure Ingress with the NodePortLocal Mode Explain how to install VMware Tanzu Application Platform Describe life cycle management in Tanzu Kubernetes Grid Explain how backup and restore are implemented in Tanzu Kubernetes Grid Describe Velero and Restic List the steps to back up a Workload cluster using Velero and Restic Troubleshooting Tanzu Kubernetes Grid Discuss the various Tanzu Kubernetes Grid logs Identify the location of Tanzu Kubernetes Grid logs Explain the purpose of crash diagnostics Demonstrate how to check the health of a Tanzu Kubernetes Grid cluster Explain packages cleanup procedures Explain management recovery procedures Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware Tanzu Kubernetes Grid: Install, Configure, Manage [V2.0] training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the VMware Tanzu Kubernetes Grid: Install, Configure, Manage [V2.0] course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for Analyst Developer End User Implementer Overview Schedule and Burst Reports Perform Translations Create Reports Integrated With Oracle BI EE Administer BI Publisher Server Describe BI Publisher Technology and Architecture Create reports from OBI EE data sources Create and Modify Data Models Create RTF Templates by Using Template Builder Explore and Use the Form Field Method for Creating RTF Templates Create Layouts by Using the Layout Editor This Oracle BI Publisher 12c training will help you build a foundation of understanding how to best leverage this solution. Through Classroom Training or Live Virtual Class Training, you'll learn the ins and outs of how to use this solution. BI Publisher Technology and Architecture Functional Components Layout Templates Multitier Architecture Enterprise Server Architecture and Performance and Scalability Document Generation Process and Output Formats Supported Data Sources Bursting Overview Internationalization and Language Support Getting Started with BI Publisher Logging In, the Home Page, and Global Header, and Setting Account Preferences Viewing Reports Managing Repository Objects Managing Favorites Using Create Report wizard to Create Reports Selecting Data: Data Model, Spreadsheet, and BI Subject Area Configuring Report Properties Using the Data Model Editor Exploring the Schemas Used in the Course Exploring the Data Model Editor UI and the Supported Data Sources Creating a Private Data Source Creating a Simple Data Model based on a SQL Query Data Set Using Query Builder to Build a Query Viewing Data and Saving Sample Data Sets Adding Parameters and LOVs to the Query Configuring Parameter Settings and Viewing Reports with Parameters Working with Layout Editor Opening the Layout Editor and Navigating the Layout Editor UI Creating a Layout by Using a Basic Template Inserting a Layout Grid Adding a Table, Formatting Columns, Defining Sorts and Groups, and Applying Conditional Formats Inserting and Editing Charts, and Converting Charts to a Pivot Tables Adding Repeating Sections, Text Items, and Images Working with Lists, Gauges and Pivot Tables Creating Boilerplates Using Template Builder to Create RTF Templates Using the BI Publisher Menu Bar Creating an RTF Template from a Sample, Changing Field Properties, and Previewing Table Data Adding a Chart to an RTF Template Designing an RTF Template for a BI Publisher Report Creating a BI Publisher Report by Using Template Builder in Online Mode Exploring the Basic and Form Field Methods Exploring Advanced RTF Template Techniques Including Conditional Formats, Watermarks, Page-Level Calculations, Running Totals, Grouping, and Sorting BI Publisher Server: Administration and Security Describing the Administration Page Creating the JDBC Connections Setting, Viewing, and Updating Data Sources Describing the Security Model for BI Publisher and Oracle Fusion Middleware Describing Groups, Users, Roles, and Permissions Describing Delivery Options Including Print, Fax, Email, WebDav, HTTP Server, FTP, and CUPS Describing and Configuring BI Publisher Scheduler Integrating with Oracle BI Presentation Services and Oracle Endeca Server Scheduling and Bursting Reports Scheduling and Describing a Report Job and Related Options Managing and Viewing a Report Job Viewing Report Job History Scheduling a Report with Trigger Describing Bursting Adding a Bursting Definition to a Data Model Scheduling a Bursting Job Integrating BI Publisher with Oracle BI Enterprise Edition Configuring Presentation Services Integration Navigating Oracle BI EE Creating a Report based on OBI EE Subject Area Creating a Data Model and Report based on a BI Server SQL Query Creating a Data Model and Report based on an Oracle BI Analysis Adding a BI Publisher Report to an Oracle BI EE Dashboard Creating Data Models and BI Publisher Reports Based on Other Data Sources Configuring Presentation Services Integration Describing the Web Services Data Source Describing the HTTP (XML/RSS Feed) Data Source Explaining Proxy Setting for Web Services and HTTP Data Sources Creating a BI Publisher Report based on an External Web Service Creating a BI Publisher Report based on an HTTP Data Set Creating a BI Publisher Report Based on XML File Creating a BI Publisher Report Based on CSV Data source Performing Translations Describing Translation Types Translating by Using the Localized Template Option Translating by Using the XLIFF Option Managing XLIFF Translations on BI Publisher Server Describing the Overall Translation Process Describing Catalog Translation Exporting and Importing the XLIFF for a Catalog Folder Additional course details: Nexus Humans Oracle BI Publisher 12c R1: Fundamentals training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Oracle BI Publisher 12c R1: Fundamentals course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 5 Days 30 CPD hours This course is intended for Experienced system administrators and system integrators responsible for using the advanced features of vRealize Automation in enterprise deployments. Overview By the end of the course, you should be able to meet the following objectives Describe and configure the vRealize Automation in a clustered enterprise deployment using VMware vRealize Suite Lifecycle Manager™ Scale VMware Identity Manager™ to support High Availability. Configure security certificates in vRealize Automation from external Certificate Authorities. Describe the clustered deployment architecture, including Kubernetes pods and services. Create and configure advanced blueprints with complex YAML and cloudConfig. Use vRealize Automation advanced blueprints to deploy an actual 2-tier DB-Server using MySQL and phpMyAdmin. Practice troubleshooting techniques with advanced YAML blueprints in vRealize Automation. Use advanced VMware NSX-TTM Data Center networking features including NAT, routed networks, load balancers, security groups, and tags. Use VMware Code Stream™ to integrate vRealize Automation with Kubernetes. Create Code Stream pipelines. Create and use Ansible playbooks that integrate with vRealize Automation. Configure vRealize Automation to integrate with Puppet. Configure and use ABX actions to create day-2 actions and interface with PowerShell scripts. Use vracli commands, log files, and VMware vRealize Log Insight™ to troubleshoot vRealize Automation and vRealize Automation deployments. This five-day course is a follow-on to the VMware vRealize© Automation? Install, Configure, Manage course. In this course you go deeper into the advanced features of vRealize Automation to deploy user systems and interface vRealize Automation with other platforms and you learn how to deploy an enterprise-level cluster environment using LCM. This course relies heavily on hands-on labs. Course Introduction Introductions and course logistics Course objectives vRealize Automation Clustered Deployment Use LCM in a clustered deployment Configure External Certificates Configure NSX-T Data Center load balancer Install vRealize Automation using Clustered Deployment Scale VMware Identity Manager to support High Availability vRealize Automation Clustered Deployment Architecture List of Kubernetes Pods The vRealize Automation Kubernetes Architecture Relationship of Kubernetes Pods to Services Logs and their locations Blueprint deployment workflow with Kubernetes Service interaction Backup strategies and potential problems Advanced Blueprints Use advanced YAML and cloudConfig to deploy a functioning 2-tier application with a phpMyAdmin front-end server and a MySQL database server Use troubleshooting techniques to debug problems in advanced YAML blueprints List the log files that can aid in troubleshooting blueprint deployment Advanced Networking Use VMware NSX-T Data Center advanced features in blueprints Interfacing to IPAMs Use NSX-T Data Center NAT in blueprints Use NSX-T Data Center routed networks Use NSX-T Data Center load balancers Use NSX-T Data Center security groups Use tags with NSX-T Data Center network profiles Using vRealize Orchestrator Create Day-2 Actions with vRealize Orchestrator workflows Troubleshoot vRealize Orchestrator cluster issues Use vRealize Orchestrator to add computer objects to Active Directory when vRealize Automation deploys blueprints Use a tagging approach to vRealize Orchestrator workflows Use dynamic forms with vRealize Orchestrator Using ABX Actions Determine when to use ABX and when to use vRealize Orchestrator Use ABX to create day-2 Actions Call PowerShell from ABX Kubernetes Integration Create a Kubernetes namespace from vRealize Automation Connect to an existing Kubernetes cluster Automate the deployment of an application to a Kubernetes cluster with Code Stream Use Kubernetes in Extensibility Code Stream Create and use CI/CD pipelines Use the Code Stream user interface Add states and tasks to a Code Stream pipeline Integrate code from Code Stream with Git Using GitLab Integration Configure the GitLab Integration Use Gitlab with blueprints Configuration Management Describe the use case of Ansible and Ansible Tower Connect to Ansible Tower Use Ansible playbooks Use Puppet in configuration management Troubleshooting vracli commands and when to use them Check the status of Kubernetes pods and services Correct the state of pods and services Diagnose and solve vRealize Automation infrastructure problems Diagnose and solve vRealize Automation failures to deploy blueprints and services Use vRealize Log Insight for troubleshooting Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware vRealize Automation: Advanced Features and Troubleshooting [v8.x] training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the VMware vRealize Automation: Advanced Features and Troubleshooting [v8.x] course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 5 Days 30 CPD hours Overview By the end of the course, you should be able to meet the following objectives: Deploy VMware Cloud Director Manage VMware Cloud Director to meet the service provider needs Create and manage VMware Cloud Director organizations and vApps to fulfill business needs Create and manage VMware Cloud Director catalogs Configure networking for organizations and vApps with the help of NSX-T Data Center Manage resources from the VMWare Cloud Director console Enable VM and Named Disk Create VM sizing and placement policies Create vApps and perform VM operations and actions Manage vGPU resources with VMware Cloud Director Discuss how VMware Cloud Director can be integrated with other solutions In this five-day course, you focus on installing, configuring, and managing on-premises VMware Cloud Director? 10.4. You will learn about workload provisioning, the creation of organizations, virtual data centers (VDCs), catalog services that include predefined virtual machines, and on-demand VMware NSX-T? Data Center networks. You will learn about different networks that a system administrator and an organization administrator can configure and use with virtual machines (VMs).This course also covers the UI enhancements of VMware Cloud Director, the new licensing model and UI enhancements with NSX Advanced Load Balancer?, and the L2 and L3 VPN enhancements in VMware Cloud Director. You will learn about defining segment profile templates to organization VDC networks and vApp networks and configuring DHCP, static routes, and no distributed routing in VMware Cloud Director. This course explains how to integrate and implement vGPU in VMware Cloud Director as well as how to use API access tokens and service accounts for programmatic access to VMware Cloud Director. Course Introduction Introductions and course logistics Course objectives Software-Defined Data Center and VMware Validated Solution Define software-defined data center (SDDC) Discuss VMware offerings for cloud-based services Discuss the deployment options for VMware Cloud Director Discuss VMware Validated Solution Recognize the design considerations when creating a cloud environment on the SDDC using VMware Cloud Foundation? VMware Cloud Director Deployment and Configuration Discuss the deployment options for VMware Cloud Director Explain the two-stage deployment of VMware Cloud Director cells Discuss failover mechanisms (automatic and manual) with VMware Cloud Director cells Define the switchover, promote, and fencing options of the VMware Cloud Director appliance Understand the VMware Cloud Director appliance enhancements VMware Cloud Director Provider Configuration Describe how the compute resources are provided to VMware Cloud Director Describe how storage is provided to VMware Cloud Director Configure and manage storage for Virtual Data Centers (VDCs) Discuss network pools, external networks, and Tier-0 gateways Showcase VMware Cloud Director integration with VMware vCenter Server© and NSX-T Data Center Describe VMware Cloud Director organizations Understand organization policies Explain how to access an organization using various portals Understand organization VDC Discuss Linked Clone and Fast Provisioning Understand the use cases of Allocation Models VMware Cloud Director User, Roles, and Quota Management Discuss user bundle Describe role-based access Explain custom roles and rights Describe and configure LDAP integration with Active Directory Discuss OIDC authentication methods Describe SAML identity provider Discuss API Access Token and Service Accounts Explain Quota Management and its use cases VMware Cloud Director Virtual Machines and vApps Understand standalone VMs Discuss the VM managing operations Explain VM properties Discuss deployment methods of vApps Discuss the vApp managing operations Discuss the vApp lease policies Understand the vApps and VM actions Explain vApp and VM badges VMware Cloud Director Content Libraries Explain the purpose of catalogs and how to create a catalog organization Define catalog management and sharing catalogs inside and between organizations Explain media in VMware Cloud Director and its usage Discuss vApp templates Understand vApp template operations Describe the purpose and usage of Open Virtualization Format (OVF) Discuss organization VDC templates Discuss Fast Cross vCenter Server vApp Instantiation Utilizing Shared Storage VMware Cloud Director Networking Discuss organization VDC networks List the types of organization VDC networks Describe the edge gateway services Explore the services offered by the edge gateway Discuss the sub-allocation IP pool and its use cases Discuss DHCP, NAT, load balancer, and firewall services on the edge gateway Discuss SNAT, DNAT, NO SNAT, and NO DNAT use cases Explain routing and distributed firewall services Discuss vApp networks List the various types of vApp networks VMware Cloud Director Storage and Compute Describe named disks and shared named disks Demonstrate how to attach and detach a named disk and a shared named disk Describe methods of sharing the named disk Discuss the implications of deleting VMs that have an attached named disk Discuss how VMware Cloud Director VMs and disks are encrypted Explain the storage policy capabilities Demonstrate how VM sizing and placement policies are published Discuss vCenter Server and VMware Cloud Director IOPS storage policies usage Discuss how to enable and use the storage IOPS limitation in VMware Cloud Director Describe the storage policy-supported entities Discuss vGPU in VMware Cloud Director Additional UI Features and Integrated Solutions Explain custom advisories, global search, guided tours, keyboard shortcuts, and quick search Demonstrate the new branding and theming experience Briefly discuss how VMware Cloud Director can be integrated with other solutions

Duration 3 Days 18 CPD hours This course is intended for This course is geared for attendees with solid Python skills who wish to learn and use basic machine learning algorithms and concepts Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Topics Covered: This is a high-level list of topics covered in this course. Please see the detailed Agenda below Getting Started & Optional Python Quick Refresher Statistics and Probability Refresher and Python Practice Probability Density Function; Probability Mass Function; Naive Bayes Predictive Models Machine Learning with Python Recommender Systems KNN and PCA Reinforcement Learning Dealing with Real-World Data Experimental Design / ML in the Real World Time Permitting: Deep Learning and Neural Networks Machine Learning Essentials with Python is a foundation-level, three-day hands-on course that teaches students core skills and concepts in modern machine learning practices. This course is geared for attendees experienced with Python, but new to machine learning, who need introductory level coverage of these topics, rather than a deep dive of the math and statistics behind Machine Learning. Students will learn basic algorithms from scratch. For each machine learning concept, students will first learn about and discuss the foundations, its applicability and limitations, and then explore the implementation and use, reviewing and working with specific use casesWorking in a hands-on learning environment, led by our Machine Learning expert instructor, students will learn about and explore:Popular machine learning algorithms, their applicability and limitationsPractical application of these methods in a machine learning environmentPractical use cases and limitations of algorithms Getting Started Installation: Getting Started and Overview LINUX jump start: Installing and Using Anaconda & Course Materials (or reference the default container) Python Refresher Introducing the Pandas, NumPy and Scikit-Learn Library Statistics and Probability Refresher and Python Practice Types of Data Mean, Median, Mode Using mean, median, and mode in Python Variation and Standard Deviation Probability Density Function; Probability Mass Function; Naive Bayes Common Data Distributions Percentiles and Moments A Crash Course in matplotlib Advanced Visualization with Seaborn Covariance and Correlation Conditional Probability Naive Bayes: Concepts Bayes? Theorem Naive Bayes Spam Classifier with Naive Bayes Predictive Models Linear Regression Polynomial Regression Multiple Regression, and Predicting Car Prices Logistic Regression Logistic Regression Machine Learning with Python Supervised vs. Unsupervised Learning, and Train/Test Using Train/Test to Prevent Overfitting Understanding a Confusion Matrix Measuring Classifiers (Precision, Recall, F1, AUC, ROC) K-Means Clustering K-Means: Clustering People Based on Age and Income Measuring Entropy LINUX: Installing GraphViz Decision Trees: Concepts Decision Trees: Predicting Hiring Decisions Ensemble Learning Support Vector Machines (SVM) Overview Using SVM to Cluster People using scikit-learn Recommender Systems User-Based Collaborative Filtering Item-Based Collaborative Filtering Finding Similar Movie Better Accuracy for Similar Movies Recommending movies to People Improving your recommendations KNN and PCA K-Nearest-Neighbors: Concepts Using KNN to Predict a Rating for a Movie Dimensionality Reduction; Principal Component Analysis (PCA) PCA with the Iris Data Set Reinforcement Learning Reinforcement Learning with Q-Learning and Gym Dealing with Real-World Data Bias / Variance Tradeoff K-Fold Cross-Validation Data Cleaning and Normalization Cleaning Web Log Data Normalizing Numerical Data Detecting Outliers Feature Engineering and the Curse of Dimensionality Imputation Techniques for Missing Data Handling Unbalanced Data: Oversampling, Undersampling, and SMOTE Binning, Transforming, Encoding, Scaling, and Shuffling Experimental Design / ML in the Real World Deploying Models to Real-Time Systems A/B Testing Concepts T-Tests and P-Values Hands-on With T-Tests Determining How Long to Run an Experiment A/B Test Gotchas Capstone Project Group Project & Presentation or Review Deep Learning and Neural Networks Deep Learning Prerequisites The History of Artificial Neural Networks Deep Learning in the TensorFlow Playground Deep Learning Details Introducing TensorFlow Using TensorFlow Introducing Keras Using Keras to Predict Political Affiliations Convolutional Neural Networks (CNN?s) Using CNN?s for Handwriting Recognition Recurrent Neural Networks (RNN?s) Using an RNN for Sentiment Analysis Transfer Learning Tuning Neural Networks: Learning Rate and Batch Size Hyperparameters Deep Learning Regularization with Dropout and Early Stopping The Ethics of Deep Learning Learning More about Deep Learning Additional course details: Nexus Humans Machine Learning Essentials with Python (TTML5506-P) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Machine Learning Essentials with Python (TTML5506-P) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.