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Duration 3 Days 18 CPD hours This course is intended for Any Managed Service Provider who is designing VMware SD-WAN solutions or managing SD-WAN networks for their customers. Overview By the end of this course, you should be able to meet the following objectives: Explain VMware SD-WAN architecture Outline VMware SD-WAN key components Discuss various Managed Service Provider (MSP) use cases and deployment options Deploy VMware SD-WAN Gateway, and VMware SD-WAN Edge Manage VMware SD-WAN Cloud VPN Design VMware SD-WAN for performance and scalability Configure the Partner Gateway handoff Customers demand a scalable, secure, and manageable VMware SD-WAN? by VeloCloud©. To deliver a successful solution you must understand VMware SD-WAN architecture, know how the features can solve customer use cases, and be able to design a VMware SD-WAN that can be easily deployed, managed, and expanded. Course Introduction Introductions and course logistics Course objectives Architecture and Core Features Evaluate the current state of the enterprise WAN and limitations for growth Describe the key components and features of the VMware SD-WAN architecture Explain VMware SD-WAN component placement and interactions between components List VMware SD-WAN core value differentiators Describe VMware SD-WAN core features Evaluate the effect of VMware SD-WAN differentiators on a SD-WAN site deployment VMware SD-WAN MSP use Cases, Deployment Models, and License Models Compare VMware SD-WAN use cases List VMware SD-WAN deployment models Describe each VMware SD-WAN license model Zero Touch Provisioning Provision VMware SD-WAN Edges Describe the workflow of a VMware SD-WAN Edge activation. Provision a VMware SD-WAN Virtual Edge on VMware ESXi VMware SD-WAN Cloud VPN Configure the VMware SD-WAN Cloud VPN Consider the availability settings when deploying a Cloud VPN Describe the packet flow in a Cloud VPN Routing and Branch Design Control SD-WAN overlay and underlay route advertisement Overlay flow control Describe best practices when designing VMware SD-WAN with BGP Evaluate branch design options VMware SD-WAN Security Explain VMware SD-WAN security architecture Describe VMware SD-WAN Edge security capabilities High Availability Designs Distinguish between Standard and Enhanced High Availability (HA) and Virtual Router Redundancy Protocol (VRRP) Designing for Performance and Scale List the SD-WAN factors that influence scalability and performance Describe VMware SD-WAN Edge Clustering Standing up a Partner Gateway Describe VMware SD-WAN Gateway functionality and roles Provision a VMware SD-WAN Gateway from VMware SD-WAN Orchestrator Demonstrate the procedure to install a VMware SD-WAN Gateway on ESXi Describe how BGP works together with a Partner Gateway hand-off MSP Operations and Version Management Identify the appropriate documentation Demonstrate account management Describe the VMware SD-WAN upgrade sequence Demonstrate a VMware SD-WAN Edge and VMware SD-WAN Gateway upgrade

Duration 3 Days 18 CPD hours This course is intended for Technology Consultant System Administrator Application Consultant Overview This course will prepare you to: Set up SLT configurations, replicate data into different targets (such as SAP HANA, SAP BW or Central Finance) and monitor the data replication. In this course, you will learn how to use the trigger based real time data replication technology of the SAP LT Replication Server (SLT). SAP Landscape Replication Server Overview Explaining Positioning and Key Concepts Identifying Use Cases Understanding SLT as Part of the DMIS Product Family SAP Landscape Transformation Server Introduction Understanding the Architectural Concept Explaining the Landscape Strategy and Sizing Aspects Outlining the SLT Installation Procedure Replication to SAP HANA Setting Up Data Replication Executing Data Replication Understanding Advanced Replication Settings Outlining Operations and Monitoring Describing SLT Handling in Special Cases Replication to SAP BW Providing a Scenario Overview Explaining Open Data Provisioning (ODP) Describing Table-Based Replication Comparing Table-Based Replication and ODP Replication to SAP Data Services Explaining SAP Data Services and Architecture Describing the Setup of Replication to SAP Data Services Replication to ABAP Systems Describing the Architecture for Replication into an ABAP System Outlining the Setup for Replication into an ABAP System Replication to Non-SAP Databases Describing the Architecture for Replication to Non-SAP Databases Understanding the Setup of ABAP to Non-ABAP Replication Replication to Central Finance Describing the Architecture for Replication to Central Finance Understanding the Setup and Configuration of Replication to Central Finance SAP Landscape Transformation Replication Server Summary Providing a Summary of the SAP Landscape Transformation Replication Server SAP Landscape Transformation Replication Server 3.0 and Recent Updates Outlining SAP Landscape Transformation Replication Server 3 Updates Additional course details: Nexus Humans SAP Real-time Replication with SAP LT Replication Server (SLT100) 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 SAP Real-time Replication with SAP LT Replication Server (SLT100) 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 Channel partners and resellers Network administrators Network engineers Sales engineers System engineers Technical architects Technical support personnel Overview After taking this course, you should be able to: Identify the Cisco Digital Network Architecture solution by describing the vision, strategy, general concepts, and components. Describe the Cisco DNA Center design application, hierarchical network design, and basic network settings, and describe the integration of Cisco DNA Center with Cisco Identity Services Engine (Cisco ISE) for Automation and Assurance. Describe the Cisco DNA Center Inventory and the available mechanisms for discovering and adding network devices, and explore the device compatibility with Cisco DNA Center and SD-Access. Describe the Cisco DNA Center automation features such as configuration templates, software image maintenance, and Plug and Play (PnP) device onboarding. Explore the Cisco DNA Center user interface, the available workflows for onboarding devices, and how to design and manage a network. Introduce Cisco SD-Access, describe the different node types in the fabric and the two-level segmentation provided by the solution, and take a deep dive into the control and data plane protocols used in Cisco SD-Access. Describe the Cisco DNA Center workflow for deploying Cisco SD-Access, defining all the prerequisite network settings and profiles, defining the required policies, creating fabric domains and sites, and provisioning fabric nodes. Create and manage fabric domains and sites, provision fabric devices, and onboard your endpoints in a single site or distributed fabric campus network. Describe the features available for automating and monitoring wireless networks with Cisco DNA Center, and describe the available deployment models with their benefits and limitations, such as wireless Over-the-Top (OTT) and SD-Access Wireless. Describe the Cisco SD-Access Extension for IoT solution, its architecture and components, and the benefits and limitations of the solution Describe the use cases and migration scenarios for migrating users from traditional campus to SD The Transforming to a Cisco Intent-Based Network (IBNTRN) v1.1 course teaches you how the functionality of Cisco© SD-Access fits into Cisco Digital Network Architecture (Cisco DNA?). Through a combination of lessons and hands-on learning, you will practice operating, managing, and integrating Cisco DNA Center, programmable network infrastructure, and Cisco SD-Access fundamentals. You will learn how Cisco delivers intent-based networking across the campus, branch, WAN, and extended enterprise and ensures that your network is operating as intended. Course Outline Introducing Cisco DNA Architecture Cisco DNA Center Design Cisco DNA Center Inventory Cisco DNA Center Automation Explore Cisco DNA Center and Automating Network Changes Introducing Cisco Software-Defined Access Deploying Cisco Software-Defined Access Deploy Wired Fabric Networks with Cisco DNA Center Cisco SD-Access for Wireless Cisco SD-Access Extension for IoT Deploy Brownfield and Fabric Wireless Network with Cisco DNA Center Migrating to Cisco SD-Access Cisco SD-Access Multicast Integrating Cisco DNA Center Deploy SD-Access Layer 2 Borders and Multicast and Integrate Cisco DNA Center with External Services or Applications Understanding Programmable Network Infrastructure Operating and Managing Cisco DNA Infrastructure Test Drive Cisco DNA Center APIs

Duration 3 Days 18 CPD hours This course is intended for Operators, administrators, and architects for VMware Horizon who are responsible for the creation, maintenance, and delivery of remote and virtual desktop services Overview By the end of the course, you should be able to meet the following objectives: Describe the features, functions, and architecture of App Volumes Create and deliver application packages in App Volumes Deliver App Volumes published applications to virtual desktops and on-demand, using Horizon Run the App Volumes Application Capture Command-Line Program using appcapture.exe Perform advanced configuration of App Volumes Scale App Volumes to multiple locations and sites Describe the features, functions, and architecture of VMware Dynamic Environment Manager Manage application configurations, user environment settings, and personalization settings using VMware Dynamic Environment Manager Create predefined configurations for applications by using the Application Profiler Create predefined configurations for applications by using the Application Profiler Manage multiple environments using VMware Dynamic Environment Manager. Enable and synchronize the offline use of VMware Dynamic Environment Manager by using SyncTool Using VMware Horizon Smart Policies on the VMware Horizon platform This three-day course builds your skills in application management with VMware App Volumes? and VMware Dynamic Environment Manager?. You learn how to use App Volumes to deliver applications and data to desktops and users in seconds and at scale. You gain skills in managing application life cycles across installation, update, and replacement. You also learn how to use VMware Dynamic Environment Manager to provide personalization and dynamic policy configuration across virtual, physical, and cloud-based environments to simplify end-user profile management. Course Introduction Introductions and course logistics Course objectives Overview of App Volumes Explain features and benefits of App Volumes Identify benefits of VMware ThinApp© Identify App Volumes components and architecture Manage application management stages using App Volumes. Working with Application Packages Differentiate between Application, Package and Program Create an Application Package Assign an Application to an entity Use markers to assign the new version of an Application Package Differentiate between Classic and On-Demand delivery of applications Update an Application with a new Package Published Applications Identify the benefits of delivering Published Applications On-Demand List the steps and prerequisites for creating Published Applications on Demand Integrate Horizon Connection Server and App Volumes Manager Associate App Volumes Manager with an automated farm Add Application Pools from App Volumes Manager Advanced App Volumes Configuration Perform advanced configuration of App Volumes Scale App Volumes to multiple locations and sites Run the App Volumes Application Capture Command-Line Program using appcapture.exe Overview of VMware Dynamic Environment Manager Explain features and benefits of Dynamic Environment Manager Identify the components of Dynamic Environment Manager architecture Differentiate between user profile scenarios Management Console User Interface Configure Personalization settings Create Condition sets Perform Application migration Configure User environment settings Advanced Dynamic Environment Manager Configuration Scale Dynamic Environment Manager to multiple locations and sites Use Silos Run the App Volumes Application Capture Command-Line Program using appcapture.exe Application Configuration Management Predefined and user-customized application settings Using Application Profiler Privilege Elevation SyncTool Identify the features of SyncTool Implement SyncTool VMware Horizon Smart Policies Identify the scope of Horizon Smart Policies Configure Horizon Smart Policies settings Define Smart Policies Conditions

Duration 3 Days 18 CPD hours This course is intended for System administrators System engineers Consultants Overview By the end of the course, you should be able to meet the following objectives: Identify the features and benefits of VMware Aria Operations for Logs Determine which VMware Aria Operations for Logs cluster meets your monitoring requirements Describe the VMware Aria Operations for Logs architecture and use cases Deploy and configure a VMware Aria Operations for Logs cluster Use the Explore Logs page to get a deep understanding of log data Create and manage queries Manage VMware Aria Operations for Logs agents and agent Groups Create custom dashboards Explain how to use the VMware Aria Operations for Logs widgets Extend the capabilities of VMware Aria Operations for Logs by adding content packs and configuring solutions Discuss VMware Aria Operations for Logs (SaaS) This three-day course features hands-on training that focuses on deploying, configuring, and managing VMware Aria Operations? for Logs 8.12. You will learn the UI enhancements, features, architecture, use cases, and benefits of VMware Aria Operations for Logs. This course provides you with the knowledge and skills to use VMware Aria Operations for Logs 8.12 to monitor your environment. Course Introduction Introductions and course logistics Course objectives Introduction to VMware Aria Operations for Logs Describe the VMware Aria cloud management platform Describe the VMware Aria? use cases Describe the key capabilities of VMware Aria Operations for Logs Describe the requirements for a log analytics solution Explain the importance of efficient log management Navigate the VMware Aria Operations for Logs UI Describe the various stages of log processing VMware Aria Operations for Logs Architecture and Deployment Identify the minimum requirements for deploying VMware Aria Operations for Logs Explain how to use the VMware Aria Operations for Logs sizing calculator Describe VMware Aria Operations for Logs compatibility with other VMware products Describe the VMware Aria Operations for Logs architecture Explain how to install the VMware Aria Operations for Logs virtual appliance Analyzing Logs Describe the primary functions of the VMware Aria Operations for Logs UI Describe log events Use Explore Logs for understanding and analyzing the log data VMware Using Dashboards Alerts and Reports Create VMware Aria Operations for Logs custom dashboards Describe how to use the VMware Aria Operations for Logs widgets Configure alerts Explain how to view and manage reports Administering VMware Aria Operations for Logs Describe user access control in VMware Aria Operations for Logs Describe user management Configure VMware Aria Operations for Logs settings Managing Data Sources and Content packs Describe how to integrate VMware Operations for Logs with VMware Aria Operations for Logs Install and manage content packs Manage certificates Install and manage agents for VMware Aria Operations for Logs Describe the VMware Aria Operations for Logs Importer VMware Aria Operations for Logs Integrations Describe how to integrate VMware Operations for Logs with VMware Aria Operations for Logs Discuss the advantages of integrating VMware Operations for Logs with VMware Aria Operations for Logs Discuss the advantages of using the vSAN content pack Explain how to configure the NSX content pack VMware Aria Operations for Logs (SaaS) Explain the VMware Aria Operations for Logs (SaaS) architecture Describe the ingestion options for Aria Operations for Logs (SaaS) Discuss integration with on-premises Aria Operations for Logs

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Data platform engineers Solutions architects IT professionals Overview In this course, you will learn to: Apply data lake methodologies in planning and designing a data lake Articulate the components and services required for building an AWS data lake Secure a data lake with appropriate permission Ingest, store, and transform data in a data lake Query, analyze, and visualize data within a data lake In this course, you will learn how to build an operational data lake that supports analysis of both structured and unstructured data. You will learn the components and functionality of the services involved in creating a data lake. You will use AWS Lake Formation to build a data lake, AWS Glue to build a data catalog, and Amazon Athena to analyze data. The course lectures and labs further your learning with the exploration of several common data lake architectures. Module 1: Introduction to data lakes Describe the value of data lakes Compare data lakes and data warehouses Describe the components of a data lake Recognize common architectures built on data lakes Module 2: Data ingestion, cataloging, and preparation Describe the relationship between data lake storage and data ingestion Describe AWS Glue crawlers and how they are used to create a data catalog Identify data formatting, partitioning, and compression for efficient storage and query Lab 1: Set up a simple data lake Module 3: Data processing and analytics Recognize how data processing applies to a data lake Use AWS Glue to process data within a data lake Describe how to use Amazon Athena to analyze data in a data lake Module 4: Building a data lake with AWS Lake Formation Describe the features and benefits of AWS Lake Formation Use AWS Lake Formation to create a data lake Understand the AWS Lake Formation security model Lab 2: Build a data lake using AWS Lake Formation Module 5: Additional Lake Formation configurations Automate AWS Lake Formation using blueprints and workflows Apply security and access controls to AWS Lake Formation Match records with AWS Lake Formation FindMatches Visualize data with Amazon QuickSight Lab 3: Automate data lake creation using AWS Lake Formation blueprints Lab 4: Data visualization using Amazon QuickSight Module 6: Architecture and course review Post course knowledge check Architecture review Course review Additional course details: Nexus Humans Building Data Lakes on AWS 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 Building Data Lakes on AWS 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 The target audience for the DevSecOps Practitioner course are professionals including: Anyone focused on implementing or improving DevSecOps practices in their organization Anyone interested in modern IT leadership and organizational change approaches Business Managers Business Stakeholders Change Agents Consultants DevOps Practitioners IT Directors IT Managers IT Team Leaders Product Owners Scrum Masters Software Engineers Site Reliability Engineers System Integrators Tool Providers Overview After completing this course, students will be able to: Comprehend the underlying principles of DevSecOps Distinguish between the technical elements used across DevSecOps practices Demonstrate how practical maturity concepts can be extended across multiple areas. Implement metric-based assessments tied to your organization. Recognize modern architectural concepts including microservice to monolith transitions. Recognize the various languages and tools used to communicate architectural concepts. Contrast the options used to build a DevSecOps infrastructure through Platform as a Service, Server-less construction, and event-driven mediums Prepare hiring practices to recognize and understand the individual knowledge, skills, and abilities required for mature Dev Identify the various technical requirements tied to the DevSecOps pipelines and how those impact people and process choices. Review various approaches to securing data repositories and pipelines. Analyze how monitoring and observability practices contribute to valuable outcomes. Comprehend how to implement monitoring at key points to contribute to actionable analysis. Evaluate how different experimental structures contribute to the 3rd Way. Identify future trends that may affect DevSecOps The DevSecOps Practitioner course is intended as a follow-on to the DevSecOps Foundation course. The course builds on previous understanding to dive into the technical implementation. The course aims to equip participants with the practices, methods, and tools to engage people across the organization involved in reliability through the use of real-life scenarios and case stories. Upon completion of the course, participants will have tangible takeaways to leverage when back in the office such as implementing DevSecOps practices to their organizational structure, building better pipelines in distributed systems, and having a common technological language. This course positions learners to successfully complete the DevSecOps Practitioner certification exam. DevSecOps Advanced Basics Why Advance Practices? General Awareness People-Finding Them Core Process Technology Overview Understanding Applied Metrics Metric Terms Accelerating People-Reporting and Recording Integrating Process Technology Automation Architecting and Planning for DevSecOps Architecture Basics Finding an Architect Reporting and Recording Environments Process Accelerating Decisions Creating a DevSecOps Infrastructure What is Infrastructure? Equipping the Team Design Challenges Monitoring Infrastructure Establishing a Pipeline Pipelines and Workflows Engineers and Capabilities Continuous Engagement Automate and Identify Observing DevSecOps Outcomes Observability vs. Monitoring Who gets which Report? Setting Observation Points Implementing Observability Practical 3rd Way Applications Revisiting 3rd Way Building Experiments Getting the Most from the Experiment The Future of DevOps Looking Towards the Future Staying Trained Innovation What, and from Who? Post-Class Assignments/Exercises Extended advanced reading associated with Case Stories from the course Additional course details: Nexus Humans DevSecOps Practitioner (DevOps Institute) 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 DevSecOps Practitioner (DevOps Institute) 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 Data Warehouse AdministratorDatabase Administrators Overview Use the Oracle Database tuning methodology appropriate to the available toolsUtilize database advisors to proactively tune an Oracle Database InstanceUse the tools based on the Automatic Workload Repository to tune the databaseDiagnose and tune common SQL related performance problemsDiagnose and tune common Instance related performance problemsUse Enterprise Manager performance-related pages to monitor an Oracle DatabaseGain an understanding of the Oracle Database Cloud Service In the Oracle Database 12c: Performance Management and Tuning course, learn about the performance analysis and tuning tasks expected of a DBA: proactive management through built-in performance analysis features and tools, diagnosis and tuning of the Oracle Database instance components, and diagnosis and tuning of SQL-related performance issues. In this course, you will be introduced to Oracle Database Cloud Service. Introduction Course Objectives Course Organization Course Agenda Topics Not Included in the Course Who Tunes? What Does the DBA Tune? How to Tune Tuning Methodology Basic Tuning Diagnostics Performance Tuning Diagnostics Performance Tuning Tools Tuning Objectives Top Timed Events DB Time CPU and Wait Time Tuning Dimensions Time Model Dynamic Performance Views Using Automatic Workload Repository Automatic Workload Repository Overview Automatic Workload Repository Data Enterprise Manager Cloud Control and AWR Snapshots Reports Compare Periods Defining the Scope of Performance Issues Defining the Problem Limiting the Scope Setting the Priority Top SQL Reports Common Tuning Problems Tuning During the Life Cycle ADDM Tuning Session Performance Versus Business Requirements Using Metrics and Alerts Metrics and Alerts Overview Limitation of Base Statistics Benefits of Metrics Viewing Metric History Information Viewing Histograms Server-Generated Alerts Setting Thresholds Metrics and Alerts Views Using Baselines Comparative Performance Analysis with AWR Baselines Automatic Workload Repository Baselines Moving Window Baseline Baselines in Performance Page Settings Baseline Templates AWR Baseslines Creating AWR Baselines Managing Baselines with PL/SQL Using AWR-Based Tools Automatic Maintenance Tasks ADDM Performance Monitoring Using Compare Periods ADDM Active Session History New or Enhanced Automatic Workload Repository Views Emergency Monitoring Real-time ADDM Real-Time Database Operation Monitoring Overview Use Cases Defining a Database Operation Scope of a Composite Database Operation Database Operation Concepts Identifying a Database Operation Enabling Monitoring of Database Operations Identifying, Starting, and Completing a Database Operation Monitoring Applications What is a Service? Service Attributes Service Types Creating Services Managing Services in a Single-Instance Environment Where are Services Used? Using Services with Client Applications Services and Pluggable Databases Identifying Problem SQL Statements SQL Statement Processing Phases Role of the Oracle Optimizer Identifying Bad SQL Top SQL Reports SQL Monitoring What is an Execution Plan? Methods for Viewing Execution Plans Uses of Execution Plans Influencing the Optimizer Functions of the Query Optimizer Selectivity Cardinality and Cost Changing Optimizer Behavior Optimizer Statistics Extended Statistics Controlling the Behavior of the Optimizer with Parameters Enabling Query Optimizer Features Reducing the Cost of SQL Operations Reducing the Cost Index Maintenance SQL Access Advisor Table Maintenance for Performance Table Reorganization Methods Space Management Extent Management Data Storage Using SQL Performance Analyzer Real Application Testing: Overview Real Application Testing: Use Cases SQL Performance Analyzer: Process Capturing the SQL Workload Creating a SQL Performance Analyzer Task SQL Performance Analyzer: Tasks Parameter Change SQL Performance Analyzer Task Page SQL Performance Management Maintaining SQL Performance Maintaining Optimizer Statistics Automated Maintenance Tasks Statistic Gathering Options Setting Statistic Preferences Restore Statistics Deferred Statistics Publishing Automatic SQL Tuning Using Database Replay Using Database Replay The Big Picture System Architecture Capture Considerations Replay Considerations: Preparation Replay Considerations Replay Options Replay Analysis Tuning the Shared Pool Shared Pool Architecture Shared Pool Operation The Library Cache Latch and Mutex Diagnostic Tools for Tuning the Shared Pool Avoiding Hard Parses Reducing the Cost of Soft Parses Sizing the Shared Pool Tuning the Buffer Cache Oracle Database Architecture: Buffer Cache Buffer Cache: Highlights Database Buffers Buffer Hash Table for Lookups Working Sets Buffer Cache Tuning Goals and Techniques Buffer Cache Performance Symptoms Buffer Cache Performance Solutions Tuning PGA and Temporary Space SQL Memory Usage Performance Impact Automatic PGA Memory SQL Memory Manager Configuring Automatic PGA Memory Setting PGA_AGGREGATE_TARGET Initially Limiting the size of the Program Global Area (PGA) SQL Memory Usage Automatic Memory Oracle Database Architecture Dynamic SGA Granule Memory Advisories Manually Adding Granules to Components Increasing the Size of an SGA Component Automatic Shared Memory Management: Overview SGA Sizing Parameters: Overview Performance Tuning Summary with Waits Commonly Observed Wait Events Additional Statistics Top 10 Mistakes Found in Customer Systems Symptoms Oracle Database Cloud Service: Overview Database as a Service Architecture, Features and Tooling Software Editions: Included Database Options and Management Packs Accessing the Oracle Database Cloud Service Console Automated Database Provisioning Managing the Compute Node Associated With a Database Deployment Managing Network Access to Database as a Service Scaling a Database Deployment Performance Management in the Database Cloud Environment Performance Monitoring and Tuning What Can be Tuned in a DBCS Environment?

Duration 5 Days 30 CPD hours This course is intended for Cloud Solutions Architects  DevOps Engineers  Individuals using Google Cloud Platform who deploy applications, monitor operations, and manage enterprise solutions Overview At course completion, you will have attained knowledge of: Fundamentals of Google Cloud Platform (GCP) Google Cloud Storage Google Compute Engine Google Cloud SQL Load Balancing (LB) Google Cloud Monitoring Auto-Scaling Virtual Private Cloud (VPC) Network Cloud Identity and Access Management (IAM) Cloud CDN and DNS Cloud VPN Google Cloud Deployment Manager Google Container Engine Cloud Run Cloud Bigtable Cloud Datastore Cloud BigQuery Cloud DataFlow Cloud DataProc Cloud Pub/Sub In this course you will attain a deep knowledge of Google Cloud Platform infrastructure and design patterns on developing applications on GCP. This course will prepare you for the Google Cloud Architect Associate Certification Exam. Fundamentals of Google Cloud Platform (GCP) Overview Regions and Zones Review of major GCP services Google Cloud Storage Fundamental APIs Consistency Cloud Storage Namespace Buckets and Objects Bucket and Object Naming Guidelines Encryption Object Versioning Object Lifecycle Management Access Control Access Control Lists Signed URL Multipart upload Resumable upload Understanding Pricing for Cloud Storage Offline Media Import/Export Architecture case study of common Use Cases of Google Cloud Storage Hands-on: Cloud Storage Lab; Creating Buckets, objects, and managing access control Google Compute Engine Compute Engine Architecture VM Instances types Persistence Disks Images Generating Custom Images IP Addresses Static IPs Ephemeral Access Control Options IAM Service Account Monitoring Instances with Google Cloud Monitoring Compute Engine Networks and Firewalls Hands-on: Hosting an Application on Compute Engine Google Cloud SQL Core advantages of Cloud SQL Cloud SQL database instance types Access Control High availability options Failover Read replica Backup options On Demand Automated Understanding Pricing of Cloud SQL Load Balancing (LB) Fundamentals of a Load Balancer Network Load balancing HTTPS Load balancing Cross region Load balancing Content Load balancing Target proxies SSL Load Balancing Internal Load Balancing Network Load Balancing Understanding Pricing for Load Balancer Google Cloud Monitoring Architecture of Cloud Monitoring Supported metrics Stackdriver Monitoring APIs Auto-Scaling Overview of Autoscaling Auto-scaling Fundamentals Instance groups Templates Policies Decisions Hands-on: Deploying a scale application on GCP using Autoscaling, Compute Engine, Cloud SQL, Load Balancers. Virtual Private Cloud (VPC) Network Salient features of Virtual Private Cloud (VPC) Network Infrastructure Virtual Private Cloud (VPC) Networking Fundamentals Subnetworks Firewall Internal DNS Network Routes Hands-on: Hosting Secure Applications in Google Cloud VPC Networks Cloud Identity and Access Management (IAM) Introduction User and Service Accounts IAM Roles Policy Hands-on: Managing Users, Policies and Granting Roles using Service Accounts Cloud CDN and DNS What is CDN Google Cloud CDN Cloud CDN Concepts Some of the Cloud CDN Edge locations Cloud DNS Cloud DNS Terminologies Supported Record Types Hands-on: Moving an Existing Domain Name to Cloud DNS Cloud VPN Cloud VPN overview Types of Cloud VPN Specifications Maintenance and Availability Google Cloud Deployment Manager Deployment Manager Deployment Manager Fundamentals Runtime Configurator Quotas Hands-on: Generating and Creating Cloud Deployment Manager Template Google Container Engine Google Container Engine Overview Docker Overview Kubernetes Terminologies Replication Controller Deployment Price and Quotas Hands-on: Deploying WordPress Cluster using Container Engine Cloud Run Overview of Cloud Run Deploy a Prebuilt Sample container Cloud Bigtable Overview of Cloud Bigtable Access Control Performance Locations Cloud Datastore Overview of Cloud Datastore Limits Storage Size Multitenancy Benefits of Multitenancy Encryption Locations Cloud BigQuery BigQuery Overview Interacting with BigQuery Datasets, Tables, and Views Partitioned Tables Query Plan Explanation Hands-on: Getting Started with BigQuery Cloud DataFlow Overview Programming Model DataFlow SDK 1.x for java Cloud Dataflow SDK 2.x Security and Permissions Advanced Access Control Cloud DataProc Overview Clusters Versioning Cloud Pub/Sub Overview of Cloud Pub/Sub Pub/Sub Concepts and Message Flow Data Model Cleanup of All Services Hands-on: Cloud Pub/Sub Lab with Background Cloud Function Additional course details: Nexus Humans Google Cloud Engineer Associate Certification Bootcamp 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 Google Cloud Engineer Associate Certification Bootcamp 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 1 Days 6 CPD hours This course is intended for This course is intended for: Data platform engineers Architects and operators who build and manage data analytics pipelines Overview In this course, you will learn to: Compare the features and benefits of data warehouses, data lakes, and modern data architectures Design and implement a batch data analytics solution Identify and apply appropriate techniques, including compression, to optimize data storage Select and deploy appropriate options to ingest, transform, and store data Choose the appropriate instance and node types, clusters, auto scaling, and network topology for a particular business use case Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights Secure data at rest and in transit Monitor analytics workloads to identify and remediate problems Apply cost management best practices In this course, you will learn to build batch data analytics solutions using Amazon EMR, an enterprise-grade Apache Spark and Apache Hadoop managed service. You will learn how Amazon EMR integrates with open-source projects such as Apache Hive, Hue, and HBase, and with AWS services such as AWS Glue and AWS Lake Formation. The course addresses data collection, ingestion, cataloging, storage, and processing components in the context of Spark and Hadoop. You will learn to use EMR Notebooks to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon EMR. Module A: Overview of Data Analytics and the Data Pipeline Data analytics use cases Using the data pipeline for analytics Module 1: Introduction to Amazon EMR Using Amazon EMR in analytics solutions Amazon EMR cluster architecture Interactive Demo 1: Launching an Amazon EMR cluster Cost management strategies Module 2: Data Analytics Pipeline Using Amazon EMR: Ingestion and Storage Storage optimization with Amazon EMR Data ingestion techniques Module 3: High-Performance Batch Data Analytics Using Apache Spark on Amazon EMR Apache Spark on Amazon EMR use cases Why Apache Spark on Amazon EMR Spark concepts Interactive Demo 2: Connect to an EMR cluster and perform Scala commands using the Spark shell Transformation, processing, and analytics Using notebooks with Amazon EMR Practice Lab 1: Low-latency data analytics using Apache Spark on Amazon EMR Module 4: Processing and Analyzing Batch Data with Amazon EMR and Apache Hive Using Amazon EMR with Hive to process batch data Transformation, processing, and analytics Practice Lab 2: Batch data processing using Amazon EMR with Hive Introduction to Apache HBase on Amazon EMR Module 5: Serverless Data Processing Serverless data processing, transformation, and analytics Using AWS Glue with Amazon EMR workloads Practice Lab 3: Orchestrate data processing in Spark using AWS Step Functions Module 6: Security and Monitoring of Amazon EMR Clusters Securing EMR clusters Interactive Demo 3: Client-side encryption with EMRFS Monitoring and troubleshooting Amazon EMR clusters Demo: Reviewing Apache Spark cluster history Module 7: Designing Batch Data Analytics Solutions Batch data analytics use cases Activity: Designing a batch data analytics workflow Module B: Developing Modern Data Architectures on AWS Modern data architectures