Duration 3 Days 18 CPD hours This course is intended for Experienced system administrators or network administrators Network professionals who have experience working with VMware NSX Advanced Load Balancer (Avi) and are responsible for troubleshooting and operating Application Delivery Controllers solutions Overview By the end of the course, you should be able to meet the following objectives: Become familiar with NSX Advanced Load Balancer (Avi) troubleshooting tools and steps to solve the problems. Establish and apply a structured troubleshooting approach and methodology Understand built-in mechanisms available for NSX Advanced Load Balancer (Avi) monitoring Identify, analyze, and troubleshoot problems related to the NSX Advanced Load Balancer infrastructure, including control and data plane components Identify, analyze, and troubleshoot problems related to application components such as Virtual Services, Pools, and related components This 3-day, hands-on training course provides you with the advanced knowledge, skills, and tools to achieve competence in operating and troubleshooting the VMware NSX© Advanced Load Balancer? (Avi) solutions. In this course, you are introduced to several operational, management, and troubleshooting tools. You will be presented with various types of technical problems, which you will identify, analyze, and solve through a systematic process. Course Introduction Introductions and course logistics Course objectives Introduction to NSX Advanced Load Balancer Introduce NSX Advanced Load Balancer Discuss NSX Advanced Load Balancer use cases and benefits Explain NSX Advanced Load Balancer architecture and components Explain the management, control, data, and consumption planes and functions Events and Alerts Describe NSX Advanced Load Balancer Events Describe and configure NSX Advanced Load Balancer Alerts Describe NSX Advanced Load Balancer monitoring capabilities leveraging SNMP, Syslog, and email Introduction to NSX Advanced Load Balancer Troubleshooting Explain NSX Advanced Load Balancer troubleshooting concepts Describe and leverage Virtual Service Traffic Logs Describe and leverage Virtual Service Security Insights Understand and utilize Health Score concepts Explain and leverage application metrics and analytics Explain and leverage packet capture and CLI utilities for application troubleshooting Leverage UI, CLI, and useful log files to perform control plane troubleshooting Infrastructure Troubleshooting Describe and perform general VMware Cloud Connector troubleshooting Describe and analyze VMware Cloud Connector state Leverage case studies to troubleshoot VMware Cloud Connector Describe and troubleshoot NSX-T Cloud Connector integration Leverage case studies to troubleshoot NSX-T Cloud Connector Describe and troubleshoot Linux Server Cloud Connector integration Describe and troubleshoot OpenStack Cloud Connector integration Leverage case studies to troubleshoot OpenStack Cloud Connector Describe and troubleshoot AWS and Azure Cloud Connector integrations Troubleshooting NSX Advanced Load Balancer Service Engines and Advanced Troubleshooting Explain general Service Engine infrastructure Explain and leverage analytics, health score, and metrics for Service Engine troubleshooting Explain and leverage Events and Alerts for Service Engine troubleshooting Leverage CLI for accessing Service Engine Analyze Service Engine logs offline with Tech Support utility and collecting core dumps Leverage CLI and useful log files for Service Engine Data Plane troubleshooting Leverage CLI to capture packets for advanced datapath analysis Monitoring NSX Advanced Load Balancer Explain and configure SNMP-based monitoring Explain and configure REST API-based monitoring Describe and leverage 3rd-party integration with monitoring tools like Splunk Leverage 3rd-party REST API monitoring extensions like Prometheus Describe and leverage VMware integrations like VMware vRealize© Network Insight? for monitoring Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware NSX Advanced Load Balancer: Troubleshooting and Operations [V20.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 Advanced Load Balancer: Troubleshooting and Operations [V20.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 This course is intended for System installers System integrators System administrators Network administrators Solutions designers Overview After taking this course, you should be able to: Describe the Cisco SD-WAN solution and how modes of operation differ in traditional WAN versus SD-WAN Describe options for Cisco SD-WAN cloud and on-premises deployment Explain how to deploy WAN Edge devices Review the Zero-Touch Provisioning (ZTP) process and examine technical specifics for on-premises deployment Review the device configuration template and describe new features of device configuration templates Describe options for providing scalability, high availability, and redundancy Explain how dynamic routing protocols are deployed in an SD-WAN environment, on the service side and transport side Describe Cisco SD-WAN policy concepts, which includes how policies are defined, attached, distributed, and applied Define and implement advanced control policies, such as policies for custom topologies and service insertion Identify and implement advanced data policies, such as policies for traffic engineering and QoS Define and implement an Application-Aware Routing (AAR) policy Implement Direct Internet Access (DIA) and Cisco SD-WAN Cloud OnRamp options Describe Cisco SD-WAN security components and integration Describe how to design pure and hybrid Cisco SD-WAN solutions, as well as how to perform a migration to Cisco SD-WAN Describe Cisco SD-WAN Day-2 operations, such as monitoring, reporting, logging, troubleshooting, and upgrading Describe Cisco SD-WAN support for multicast The Implementing Cisco SD-WAN Solutions (ENSDWI) v2.0 course gives you training about how to design, deploy, configure, and manage your Cisco© Software-Defined WAN (SD-WAN) solution in a large-scale live network, including how to migrate from legacy WAN to SD-WAN. You will learn best practices for configuring routing protocols in the data center and the branch, as well as how to implement advanced control, data, and application-aware policies. The course also covers SD-WAN deployment and migration options, placement of controllers, how to deploy WAN Edge devices, and how to configure Direct Internet Access (DIA) breakout. The course looks at the different Cisco SD-WAN security options available, such as application-aware enterprise firewall, Intrusion Prevention System (IPS), URL filtering, Cisco Advanced Malware Protection (AMP), Secure Sockets Layer/Transport Layer Security (SSL/TLS) proxy, and Cisco Umbrella© Secure Internet Gateway (SIG). This course helps you prepare to take the Implementing Cisco SD-WAN Solutions (300-415 ENSDWI) exam which is part of the CCNP© Enterprise certification. You will also earn 32 Continuing Education (CE) credits toward recertification. Course outline Examining the Cisco SD WAN Architecture Examining Cisco SD-WAN Deployment Options Deploying WAN Edge Devices Onboarding WAN Edge Devices with ZTP and PnP Using Device Configuration Templates Exploring Redundancy, High Availability, and Scalability Enabling Service-Side and Transport-Side Routing Understanding Cisco SD-WAN Policy Configuration Basics Defining Advanced Control Policies Implementing AAR Examining Direct Internet Access and Cloud Deployment Options Exploring Cisco SD-WAN Security Designing and Migrating to Cisco SD-WAN Performing Cisco SD-WAN Network Management and Troubleshooting Examining Cisco SD-WAN Multicast Support Lab outline Deploy Cisco SD-WAN Controllers Add a WAN Edge Router Using ZTP Deploy Cisco SD-WAN Device Using Configuration Templates Configure Cisco SD-WAN Controller Affinity Implement Service Side Routing Protocols Implement Transport Location (TLOC) Extensions Implement Control Policies Implement Data Policies Implement Application-Aware Routing Implement Branch and Regional Internet Breakouts Migrate Branch Sites Perform Cisco SD-WAN Software Upgrade Additional course details: Nexus Humans Cisco Implementing Cisco SD-WAN Solutions (ENSDWI) 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 Cisco Implementing Cisco SD-WAN Solutions (ENSDWI) 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 4 Days 24 CPD hours This course is intended for This course is geared for experienced skilled Java developers, software developers, data scientists, machine learning experts or others who wish to transtion their coding skills to Scala, learning how to code in Scala and apply it in a practical way. This is not a basic class. Overview Working in a hands-on learning environment led by our expert instructor you'll: Get comfortable with Scala's core principles and unique features, helping you navigate the language confidently and boosting your programming skills. Discover the power of functional programming and learn techniques that will make your code more efficient,maintainable, and enjoyable to write. Become proficient in creating dynamic web applications using the Play Framework, and easily connect to databases with the user-friendly Slick library. Master concurrency programming with Akka, empowering you to build scalable and fault-tolerant applications that excel in performance. Enhance your testing skills using ScalaTest and ScalaCheck, ensuring the reliability and quality of your Scala applications, while having fun in the process. Explore the fascinating world of generative AI and GPT technologies, and learn how to integrate them into your projects,adding a touch of innovation and intelligence to your Scala solutions. If your team requires different topics, additional skills or a custom approach, our team will collaborate with you to adjust the course to focus on your specific learning objectives and goals. Discover the power of Scala programming in our comprehensive, hands-on technical training course designed specifically for experienced object-oriented (OO) developers. Scala is a versatile programming language that combines the best of both OO and functional programming paradigms, making it ideal for a wide range of projects, from web applications to big data processing and machine learning. By mastering Scala, you'll be able to develop more efficient, scalable, and maintainable applications. Fast Track to Scala Programming for OO / Java Developers is a four day hands-on course covers the core principles of Scala, functional programming, web application development, database connectivity, concurrency programming, testing, and interoperability between Scala and Java. Additionally, you'll explore cutting-edge generative AI and GPT technologies, learning how to integrate them into your Scala applications for intelligent suggestions or automation. Throughout the course you?ll explore the latest tools and best practices in the Scala ecosystem, gaining valuable knowledge and experience that can be directly applied to your day-to-day work. With 50% of the course content dedicated to hands-on labs, you'll gain practical experience applying the concepts you've learned across various projects, such as building functional web applications, connecting to databases, designing modular components, and implementing concurrency. Upon completing the course, you'll have a solid understanding of the language and its features, empowering you to confidently apply your new skills in data science and machine learning projects. You'll exit well-prepared to create efficient, scalable, and maintainable Scala applications, regardless of the complexity of your projects. Introduction to Scala Scala features and benefits Comparing Scala with Java and other OO languages Installing Scala and setting up the development environment Object-Oriented Programming in Scala Classes and objects Traits, mixins, and inheritance Companion objects and factories Encapsulation and polymorphism Functional Programming Basics Pure functions and referential transparency Higher-order functions and currying Immutability and persistent data structures Pattern matching and recursion Having Fun with Functional Data Structures Lists, sets, and maps in Scala Folding and reducing operations Stream processing and lazy evaluation For-comprehensions Building Web Applications in Functional Style Introduction to Play Framework Functional web routing and request handling JSON handling with Play-JSON Middleware and functional composition Connecting to a Database Introduction to Slick library Database configuration and setup Querying and updating with Slick Transactions and error handling Building Scalable and Extensible Components Modular architecture and design patterns Dependency injection with MacWire Type classes and type-level programming Implicit parameters and conversions Concurrency Programming & Akka Introduction to Akka framework and Actor model Actor systems and message passing Futures and Promises Supervision and fault tolerance Building Confidence with Testing Introduction to ScalaTest and ScalaCheck Unit testing and property-based testing Test-driven development in Scala Mocking and integration testing Interoperability between Scala and Java Calling Java code from Scala Using Java libraries in Scala projects Converting Java collections to Scala collections Writing Scala code that can be called from Java Using Generative AI and GPT Technologies in Scala Programming Overview of GPT and generative AI Integrating GPT with Scala applications Use cases and practical examples
Duration 5 Days 30 CPD hours This course is intended for This course is for network professionals who need to learn the techniques to implement, configure, monitor, and support Service Provider VPN solutions based on MPLS backbones. Network administrators Network engineers Network supervisors Network managers Network Operations Center (NOC) personnel Network designers Network architects Channel partners Overview After taking this course, you should be able to: Describe VPN concepts and operation in a Service Provider environment Implement Layer 3 MPLS VPN operations in a Service Provider environment Implement Layer 3 Inter-domain MPLS VPN services traversing multiple Service Providers Implement Layer 3 Multicast MPLS VPN operations in a Service Provider environment Troubleshoot typical issues in Layer 3 MPLS VPN environments Implement Layer 2 VPN operations in a Service Provider environment Troubleshoot Layer 2 VPN issues in a Service Provider network Implement MPLS VPN solutions for IPv6 environments Troubleshoot MPLS VPN solutions for IPv6 environments The Implementing Cisco Service Provider VPN Services (SPVI) 5-day course prepares you to manage end-customer Virtual Private Network (VPN) environments built over a common service provider Multiprotocol Label Switching (MPLS) backbone. You will complete hands-on labs to reinforce MPLS VPN fundamental concepts, benefits, and classification, MPLS components, MPLS control plane and data plane operations, MPLS VPN routing using Virtual Routing and Forwarding (VRF), Layer 2 and Layer 3 MPLS VPNs, IPv6 MPLS VPN implementations, IP Multicast VPNs, and shared services VPNs. The course also covers solutions for deploying MPLS VPN crossing multiple Service Provider domains that improve the use of network bandwidth.The course qualifies for 40 Cisco Continuing Education credits (CE) towards recertification.This course prepares you for the 300-515 Implementing Cisco© Service Provider VPN Services (SPVI) exam. By passing this exam, you earn the Cisco Certified Specialist - Service Provider VPN Services Implementation certification, and you satisfy the concentration exam requirement for the CCNP© Service Provider certification.This course will help you:Gain valuable skills in reinforcing MPLS VPN fundamental concepts, benefits, and classificationsLearn to configure optional paths for traffic to avoid network congestionPrepare to take the 300-515 SPVI exam Introducing VPN Services VPN Fundamentals MPLS VPN Control Plane Operation Troubleshooting MPLS VPN Underlay Troubleshoot Core Interior Gateway Protocol (IGP) Troubleshoot Border Gateway Protocol (BGP) Implementing Layer 3 MPLS VPNs Multiprotocol BGP (MP-BGP) Routing Requirements in MPLS VPNs Provider Edge to Customer Edge (PE-to-CE) Routing Requirements in Layer 3 MPLS VPNs Implementing Layer 3 Interdomain MPLS VPNs Inter-Autonomous System (AS) for Layer 3 MPLS VPNs Content Security and Control (CSC) for Layer 3 MPLS VPNs Implementing Layer 3 Multicast MPLS VPNs Multicast VPN (MVPN) Fundamentals Implement Intranet MVPN Troubleshooting Intra-AS Layer 3 VPNs Troubleshoot PE-CE Connectivity Troubleshoot PE-to-Route Reflecto Implementing Layer 2 VPNs Layer 2 Service Architecture and Carrier Ethernet Services Refresh on Traditional Ethernet LAN (E-LAN), E-Line, and E-Tree Solutions Troubleshooting Layer 2 VPNs Troubleshoot Common Issues for Traditional E-Line, E-LAN, and E-Tree Ethernet Solutions Troubleshoot Common Issues for Ethernet VPN (EVPN) Native, EVPN Virtual Private Wire Service (VPWS), and EVPN Integrated Routing and Bridging (IRB) Solutions Implementing Layer 3 IPv6 MPLS VPNs Classical Solutions for Deploying IPv6 over IPv4 Environments Using 6VPE to Deploy IPv6 Connectivity over MPLS Environment Troubleshooting Layer 3 IPv6 MPLS VPNs Troubleshooting PE-to-PE Connectivity Additional course details: Nexus Humans Cisco Implementing Cisco Service Provider VPN Services 1.0 (SPVI) 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 Cisco Implementing Cisco Service Provider VPN Services 1.0 (SPVI) 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 The primary audience for this course is as follows - IT Staff and Managers - Network and systems personnel and engineers - Small to mid-sized organizations that require fundamental knowledge on networking terms/concepts and configuration guidance for Meraki equipment This also includes organizations looking to implement remote sites, provide a guest wireless solution, and collect user analytics Overview Upon completing this course, the student will be able to meet these objectives: Students will be able to Deploy and Manage a Meraki Network using the Meraki Dashboard - Deploy, Manage, Monitor and Troubleshoot Meraki MS Switches - Deploy, Manage, Monitor and Troubleshoot Meraki MR Wireless Access Points - Deploy, Manage, Monitor and Troubleshoot Meraki MX Firewall Appliances - Deploy, Manage, Monitor and Troubleshoot Meraki MV IP Video Cameras - Deploy, Manage, Monitor and Troubleshoot Meraki MC Phones - Deploy, Manage, Monitor and Troubleshoot Meraki Systems Manager - Deploy, Manage, Monitor and Troubleshoot Meraki SDWAN This course familiarizes individuals with networking concepts and demonstrates how to effectively use Meraki products to build a comprehensive network Cisco/Meraki Product Line Introduction MS - Switching MR - Wireless LAN MX - Security MV ? Camera MC - Voice SD-WAN Cisco/Meraki Cloud Management Introduction to cloud management The dashboard and navigation Organizations & Networks ? what is the difference and how to use them System-wide parameters (organization parameters) Cisco/Meraki Dashboard Administration Creating and implementing maps Summary Report and Auto Generation Reports Adding administrators and tweaking security levels Using Tags and Configuring Alerting (SNMP, email) Adding admins, configuring reports, and alerts Firmware Management Configuring Authentication Lab 1 Lab 2 Configuring external authentication Configuring Group Policies Device Replacement Location Analytics Other advanced analytics Cisco/Meraki Switching Review switching basics Review Meraki L2 Switch Models Configuring Meraki Switches Troubleshooting / Diagnostics Lab 3 Cisco/Meraki Routing Review routing basic (IP Addresses, Networks and Masks, OSPF, etc.) Review Meraki L3 switch Models Configuring Meraki Switches for Routing Lab 4 Cisco/Meraki Wireless Review Wireless Basics Meraki Wireless Product Review Performing a Site Survey Configuring Access Points Lab 5 Cisco/Meraki Firewalls/Security Review firewall basics Meraki Firewall Model Review Configuring a Meraki Firewall Lab 6 IP Cameras MV21 vs MV71 Installing Cameras Adding Cameras to the Dashboard Managing MV Cameras Troubleshooting Cameras Lab 7 Meraki Communications QOS Voice Security Deploying Meraki MC74 Phones Deploying Cisco IP Phones to CUCM Deploying Voice Features End User Lab 8 Meraki Systems Manager Controlling Wireless Device Policies Enrolling Devices Apps Profiles Tags Security Policies Geofencing Policies Lab 9 Meraki SDWAN What is SD-WAN? Concentrator Mode VPN Topology Split Tunnel Full Tunnel Hub and Spoke VPN Mesh Datacenter Redundancy (DC-DC Failover) Warm Spare (High Availability) for VPN concentrators Connection Monitor Dual-Active VPN uplinks Policy-based Routing Dynamic Path Selection SD-WAN Objectives Example Topology High Level Traffic Flow SD-WAN Technologies Deploying a one-armed concentrator Dashboard Configuration Other Datacenter Configuration MX IP Assignment Upstream Considerations Datacenter Redundancy (DC-DC Failover) High-level architecture Failover Times Datacenter Deployment Branch Deployment Lab 10 Meraki Support Getting support for Meraki Finding the Right Documentation Posting in the Community Troubleshooting Meraki Connectivity Issues Resetting Devices. Additional course details: Nexus Humans Implementing and Configuring Meraki Technologies v1.0 (ICMT - CT) 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 Implementing and Configuring Meraki Technologies v1.0 (ICMT - CT) 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 Data Analysts, Business Analysts, Business Intelligence professionals Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform Overview This course teaches students the following skills: Derive insights from data using the analysis and visualization tools on Google Cloud Platform Interactively query datasets using Google BigQuery Load, clean, and transform data at scale Visualize data using Google Data Studio and other third-party platforms Distinguish between exploratory and explanatory analytics and when to use each approach Explore new datasets and uncover hidden insights quickly and effectively Optimizing data models and queries for price and performance Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course! This four-course accelerated online specialization teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The courses feature interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. The courses also cover data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization. This specialization is intended for the following participants: Data Analysts, Business Analysts, Business Intelligence professionals Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform To get the most out of this specialization, we recommend participants have some proficiency with ANSI SQL. Introduction to Data on the Google Cloud Platform Highlight Analytics Challenges Faced by Data Analysts Compare Big Data On-Premises vs on the Cloud Learn from Real-World Use Cases of Companies Transformed through Analytics on the Cloud Navigate Google Cloud Platform Project Basics Lab: Getting started with Google Cloud Platform Big Data Tools Overview Walkthrough Data Analyst Tasks, Challenges, and Introduce Google Cloud Platform Data Tools Demo: Analyze 10 Billion Records with Google BigQuery Explore 9 Fundamental Google BigQuery Features Compare GCP Tools for Analysts, Data Scientists, and Data Engineers Lab: Exploring Datasets with Google BigQuery Exploring your Data with SQL Compare Common Data Exploration Techniques Learn How to Code High Quality Standard SQL Explore Google BigQuery Public Datasets Visualization Preview: Google Data Studio Lab: Troubleshoot Common SQL Errors Google BigQuery Pricing Walkthrough of a BigQuery Job Calculate BigQuery Pricing: Storage, Querying, and Streaming Costs Optimize Queries for Cost Lab: Calculate Google BigQuery Pricing Cleaning and Transforming your Data Examine the 5 Principles of Dataset Integrity Characterize Dataset Shape and Skew Clean and Transform Data using SQL Clean and Transform Data using a new UI: Introducing Cloud Dataprep Lab: Explore and Shape Data with Cloud Dataprep Storing and Exporting Data Compare Permanent vs Temporary Tables Save and Export Query Results Performance Preview: Query Cache Lab: Creating new Permanent Tables Ingesting New Datasets into Google BigQuery Query from External Data Sources Avoid Data Ingesting Pitfalls Ingest New Data into Permanent Tables Discuss Streaming Inserts Lab: Ingesting and Querying New Datasets Data Visualization Overview of Data Visualization Principles Exploratory vs Explanatory Analysis Approaches Demo: Google Data Studio UI Connect Google Data Studio to Google BigQuery Lab: Exploring a Dataset in Google Data Studio Joining and Merging Datasets Merge Historical Data Tables with UNION Introduce Table Wildcards for Easy Merges Review Data Schemas: Linking Data Across Multiple Tables Walkthrough JOIN Examples and Pitfalls Lab: Join and Union Data from Multiple Tables Advanced Functions and Clauses Review SQL Case Statements Introduce Analytical Window Functions Safeguard Data with One-Way Field Encryption Discuss Effective Sub-query and CTE design Compare SQL and Javascript UDFs Lab: Deriving Insights with Advanced SQL Functions Schema Design and Nested Data Structures Compare Google BigQuery vs Traditional RDBMS Data Architecture Normalization vs Denormalization: Performance Tradeoffs Schema Review: The Good, The Bad, and The Ugly Arrays and Nested Data in Google BigQuery Lab: Querying Nested and Repeated Data More Visualization with Google Data Studio Create Case Statements and Calculated Fields Avoid Performance Pitfalls with Cache considerations Share Dashboards and Discuss Data Access considerations Optimizing for Performance Avoid Google BigQuery Performance Pitfalls Prevent Hotspots in your Data Diagnose Performance Issues with the Query Explanation map Lab: Optimizing and Troubleshooting Query Performance Advanced Insights Introducing Cloud Datalab Cloud Datalab Notebooks and Cells Benefits of Cloud Datalab Data Access Compare IAM and BigQuery Dataset Roles Avoid Access Pitfalls Review Members, Roles, Organizations, Account Administration, and Service Accounts
Duration 4 Days 24 CPD hours This course is intended for Experienced system administrators, system engineers, and system integrators Overview By the end of the course, you should be able to meet the following objectives: Describe the architecture of VMware Cloud on AWS Prepare and deploy VMware Cloud on AWS SDDC Configure the scale-up and scale-down of a VMware Cloud on AWS SDDC Access a VMware vCenter configuration in VMware Cloud on AWS Configure internal, external, and inter-SDDC networking Configure storage integrations and solutions for VMware Cloud on AWS Configure a connection between an on-premises vSphere SDDC and a VMware Cloud on AWS SDDC Migrate VMs between on-premises vSphere and VMware Cloud on AWS SDDCs Describe lifecycle management, troubleshooting scenarios, and disaster recovery solutions for a VMware Cloud on AWS SDDC Describe how VMware add-on solutions support a VMware Cloud on AWS SDDC This four-day, hands-on training course provides you with the knowledge, skills, and tools for deploying and managing a VMware Cloud? on AWS infrastructure. You will explore the common use cases of the VMware Cloud on AWS infrastructure that allows you to modernize, protect, and scale applications based on VMware vSphere© that leverage AWS.In this course, you are introduced to various rapid and easy migration options for workloads based on vSphere to VMware Cloud on AWS. In addition, you are presented with VMware Cloud Disaster Recovery?, which is a Disaster Recovery as-a-service (DRaaS) solution, with fast recovery capabilities, that can be used to cost-effectively protect a broad set of your virtualized applications. Course Introduction Introductions and course logistics Course objectives Introduction to VMware Cloud on AWS Choosing VMware Cloud on AWS Management and operational structure VMware Cloud on AWS Platform and SDDC Deployment Preparation Getting started with VMware Cloud on AWS Preparing AWS infrastructure for a VMware Cloud on AWS deployment Setting up a VMware on Cloud AWS account Billing and pricing on VMware Cloud services Deploying and Scaling and SDDC Deploying and examining SDDC configurations Sizing the SDDC SDDC cluster management SDDC host management Optimizing and maintaining SDDC Cluster using Elastic DRS for VMware Cloud on AWS Accessing and Analyzing vCenter Configurations Accessing vCenter Server in the Cloud SDDC Analyzing resource management settings in the SDDC Exploring vSphere permissions on VMware Cloud on AWS VMware Tanzu? for VMC on AWS Networking in VMware Cloud on AWS Internal SDDC network Networking and security options SDDC Network Administration with NSX Manager Creating virtual machines in the Cloud SDDC Inter-SDDC networking Storage on VMware Cloud on AWS vSAN storage in VMware Cloud on AWS Attaching external storage to a VM running on an SDDC Working with On-Premises vSphere Hybrid-linked mode Migration solutions for VMware Cloud on AWS VM migration with VMware HCX© Maintaining and Troubleshooting VMware Cloud on AWS Accessing API with VMware Cloud on AWS Maintenance and support Common troubleshooting steps Disaster Recovery Solution Site Recovery add-on service VMware Cloud Disaster Recovery? Using Other VMware Products with the SDDC VMware Aria? Operations for Logs (formerly vRealize Log Insight) VMware Horizon© with VMware Cloud on AWS VMware Aria Automation add-on (formerly vRealize Automation) Using VMware Aria Operations with VMware Cloud on AWS Using VMware Aria Operations for Networks (formerly vRealize Network Insight) with VMware Cloud on AWS Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware Cloud on AWS: Design, Configure, Manage 2023 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 Cloud on AWS: Design, Configure, Manage 2023 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 benefits individuals responsible for configuring and monitoring devices running the Junos OS. Overview After successfully completing this course, you should be able to: Describe the basic design architecture of the Junos OS. Identify and provide a brief overview of Junos devices. Navigate within the Junos CLI. Perform tasks within the CLI operational and configuration modes. Restore a Junos device to its factory-default state. Perform initial configuration tasks. Configure and monitor network interfaces. Describe user configuration and authentication options. Perform secondary configuration tasks for features and services such as system logging (syslog) and tracing, Network Time Protocol (NTP), configuration archival, and SNMP. Monitor basic operation for the Junos OS and devices. Identify and use network utilities. Upgrade the Junos OS. Perform file system maintenance and password recovery on a Junos device. Navigate within the Junos J-Web interface. Explain basic routing operations and concepts. View and describe routing and forwarding tables. Configure and monitor static routing. Configure and monitor OSPF. Describe the framework for routing policy and firewall filters. Explain the evaluation of routing policy and firewall filters. Identify instances where you might use routing policy. Write and apply a routing policy. Identify instances where you might use firewall filters. Write and apply a firewall filter. Describe the operation and configuration for unicast reverse path forwarding (RPF). This three-day course provides students with the foundational knowledge required to work with the Juniper Networks Junos operating system and to configure Junos devices. The course provides a brief overview of the Junos device families and discusses the key architectural components of the software. Key topics include user interface options with a heavy focus on the command-line interface (CLI), configuration tasks typically associated with the initial setup of devices, interface configuration basics with configuration examples, secondary system configuration, and the basics of operational monitoring and maintenance of Junos devices. The course then delves into foundational routing knowledge and configuration examples including general routing concepts, routing policy, and firewall filters. Course Outline COURSE INTRODUCTION Junos Operating System Fundamentals The Junos OS Traffic Processing Overview of Junos Devices User Interface Options: The Junos CLI User Interface Options The Junos CLI: CLI Basics The Junos CLI: Operational Mode The Junos CLI: Configuration Mode User Interface Options: The J-Web Interface User Interface Options The Junos CLI: CLI Basics The Junos CLI: Operational Mode The Junos CLI: Configuration Mode Initial Configuration Factory-Default Configuration Initial Configuration Interface Configuration Secondary System Configuration User Configuration and Authentication System Logging and Tracing Network Time Protocol Archiving Configurations SNMP Operational Monitoring and Maintenance Monitoring Platform and Interface Operation Network Utilities Maintaining the Junos OS Password Recovery System Clean-Up Interface Configuration Examples Review of the Interface Configuration Hierarchy Interface Configuration Examples Using Configuration Groups Routing Fundamentals Routing Concepts: Overview of Routing Routing Concepts: The Routing Table Routing Concepts: Routing Instances Static Routing Dynamic Routing Routing Policy Routing Policy Overview Case Study: Routing Policy Firewall Filters Firewall Filters Overview Case Study: Firewall Filters Unicast Reverse-Path-Forwarding Checks Class of Service CoS Overview Traffic Classification Traffic Queueing Traffic Scheduling Case Study: CoS JTAC Procedures Opening a Support Case Customer Support Tools Transferring Files to JTAC Juniper Security Concepts Security Challenges Juniper Networks? Security Focus A IPv6 Fundamentals IPv6 Addressing Protocols and Services Configuration Additional course details: Nexus Humans Juniper - Introduction to the Junos Operating System (IJOS) 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 Juniper - Introduction to the Junos Operating System (IJOS) 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 intermediate and beyond level course is geared for experienced technical professionals in various roles, such as developers, data analysts, data engineers, software engineers, and machine learning engineers who want to leverage Scala and Spark to tackle complex data challenges and develop scalable, high-performance applications across diverse domains. Practical programming experience is required to participate in the hands-on labs. Overview Working in a hands-on learning environment led by our expert instructor you'll: Develop a basic understanding of Scala and Apache Spark fundamentals, enabling you to confidently create scalable and high-performance applications. Learn how to process large datasets efficiently, helping you handle complex data challenges and make data-driven decisions. Gain hands-on experience with real-time data streaming, allowing you to manage and analyze data as it flows into your applications. Acquire practical knowledge of machine learning algorithms using Spark MLlib, empowering you to create intelligent applications and uncover hidden insights. Master graph processing with GraphX, enabling you to analyze and visualize complex relationships in your data. Discover generative AI technologies using GPT with Spark and Scala, opening up new possibilities for automating content generation and enhancing data analysis. Embark on a journey to master the world of big data with our immersive course on Scala and Spark! Mastering Scala with Apache Spark for the Modern Data Enterprise is a five day hands on course designed to provide you with the essential skills and tools to tackle complex data projects using Scala programming language and Apache Spark, a high-performance data processing engine. Mastering these technologies will enable you to perform a wide range of tasks, from data wrangling and analytics to machine learning and artificial intelligence, across various industries and applications.Guided by our expert instructor, you?ll explore the fundamentals of Scala programming and Apache Spark while gaining valuable hands-on experience with Spark programming, RDDs, DataFrames, Spark SQL, and data sources. You?ll also explore Spark Streaming, performance optimization techniques, and the integration of popular external libraries, tools, and cloud platforms like AWS, Azure, and GCP. Machine learning enthusiasts will delve into Spark MLlib, covering basics of machine learning algorithms, data preparation, feature extraction, and various techniques such as regression, classification, clustering, and recommendation systems. Introduction to Scala Brief history and motivation Differences between Scala and Java Basic Scala syntax and constructs Scala's functional programming features Introduction to Apache Spark Overview and history Spark components and architecture Spark ecosystem Comparing Spark with other big data frameworks Basics of Spark Programming SparkContext and SparkSession Resilient Distributed Datasets (RDDs) Transformations and Actions Working with DataFrames Spark SQL and Data Sources Spark SQL library and its advantages Structured and semi-structured data sources Reading and writing data in various formats (CSV, JSON, Parquet, Avro, etc.) Data manipulation using SQL queries Basic RDD Operations Creating and manipulating RDDs Common transformations and actions on RDDs Working with key-value data Basic DataFrame and Dataset Operations Creating and manipulating DataFrames and Datasets Column operations and functions Filtering, sorting, and aggregating data Introduction to Spark Streaming Overview of Spark Streaming Discretized Stream (DStream) operations Windowed operations and stateful processing Performance Optimization Basics Best practices for efficient Spark code Broadcast variables and accumulators Monitoring Spark applications Integrating External Libraries and Tools, Spark Streaming Using popular external libraries, such as Hadoop and HBase Integrating with cloud platforms: AWS, Azure, GCP Connecting to data storage systems: HDFS, S3, Cassandra, etc. Introduction to Machine Learning Basics Overview of machine learning Supervised and unsupervised learning Common algorithms and use cases Introduction to Spark MLlib Overview of Spark MLlib MLlib's algorithms and utilities Data preparation and feature extraction Linear Regression and Classification Linear regression algorithm Logistic regression for classification Model evaluation and performance metrics Clustering Algorithms Overview of clustering algorithms K-means clustering Model evaluation and performance metrics Collaborative Filtering and Recommendation Systems Overview of recommendation systems Collaborative filtering techniques Implementing recommendations with Spark MLlib Introduction to Graph Processing Overview of graph processing Use cases and applications of graph processing Graph representations and operations Introduction to Spark GraphX Overview of GraphX Creating and transforming graphs Graph algorithms in GraphX Big Data Innovation! Using GPT and Generative AI Technologies with Spark and Scala Overview of generative AI technologies Integrating GPT with Spark and Scala Practical applications and use cases Bonus Topics / Time Permitting Introduction to Spark NLP Overview of Spark NLP Preprocessing text data Text classification and sentiment analysis Putting It All Together Work on a capstone project that integrates multiple aspects of the course, including data processing, machine learning, graph processing, and generative AI technologies.
Duration 3 Days 18 CPD hours This course is intended for Experienced system administrators and system integrators responsible for designing and implementing vSphere with Kubernetes Overview By the end of the course, you should be able to meet the following objectives: Describe vSphere with Kubernetes and use cases in on-premises environments Deploy vSphere with Kubernetes Describe the VMware NSX networking requirements for vSphere with Kubernetes. Create and manage vSphere with Kubernetes namespaces Deploy and run container applications on vSphere with Kubernetes Deploy and configure VMware Harbor Describe the VMware Tanzu⢠Kubernetes Grid⢠service Deploy a Tanzu Kubernetes Grid cluster Deploy and run container applications on a Tanzu Kubernetes Grid cluster Describe the vSphere with Kubernetes lifecycle Use logs and CLI commands to monitor and troubleshoot vSphere with Kubernetes During this 3-day course, you focus on deploying and managing VMware vSphere© with Kubernetes. You learn about how vSphere with Kubernetes can be used to orchestrate the delivery of Kubernetes clusters and containerized applications in a VMware vSphere© environment. Course Introduction Introductions and course logistics Course objectives Introduction to Containers and Kubernetes Describe Virtual Machines and Containers Describe Container Hosts Describe Container Engines Describe Dockerfile Describe Container Images Describe Image Registry Describe the purpose and functionality of Kubernetes Describe Manifest YAML files Explain Pod YAML files Explain ReplicaSets Explain Services Explain Deployments Introduction to vSphere with Kubernetes Describe the purpose and functionality of vSphere with Kubernetes Explain the integration with VMware Tanzu? Mission Control? Describe the capabilities of vSphere with Kubernetes Describe the components of vSphere with Kubernetes Contrast vSphere with Kubernetes to traditional Kubernetes Describe the requirements for vSphere with Kubernetes Prepare a vSphere cluster for vSphere with Kubernetes Describe the NSX components required for vSphere with Kubernetes Describe the network topology of vSphere with Kubernetes Explain the networking requirements of vSphere with Kubernetes Compare NSX networking objects with Kubernetes networking objects vSphere with Kubernetes Core Services Explain the architecture of the vSphere with Kubernetes Core Services Describe the Container Service Describe the Volume Service Describe the Network Service Describe the Registry Service Describe the use cases of vSphere with Kubernetes Enable vSphere with Kubernetes Deploy VMware Harbor Registry vSphere with Kubernetes Namespaces Describe a vSphere with Kubernetes namespace Contrast a vSphere with Kubernetes namespace to a traditional Kubernetes namespace Describe Resource Quotas Explain Authentication and Authorization to vSphere with Kubernetes Explain the use cases of namespaces Create a namespace Describe kubectl Use kubectl to interact with vSphere with Kubernetes Describe using kubectl pod deployment Explain scaling a pod deployment Explain managing pod lifecycle Explain deleting pods Use kubectl to deploy a pod Use kubectl to scale a pod Use kubectl to switch between namespaces VMware Tanzu Kubernetes Grid service Explain Tanzu Kubernetes Grid service Describe the use cases for Tanzu Kubernetes Grid clusters Describe the integration with Tanzu Mission Control Explain the lifecycle of Tanzu Kubernetes Grid clusters Deploy Tanzu Kubernetes Grid cluster Deploy pods to a Tanzu Kubernetes Grid cluster Monitoring and Troubleshooting Describe the monitoring tools for vSphere with Kubernetes Describe the troubleshooting tools for vSphere with Kubernetes Explain cluster, node, and namespace health Explain usage and capacity monitoring Describe vCenter Server events Describe vSphere with Kubernetes events Gather support information vSphere with Kubernetes Lifecycle Describe the vSphere with Kubernetes lifecycle Describe the Tanzu Kubernetes Grid lifecycle Describe scaling a vSphere with Kubernetes cluster Update vSphere with Kubernetes Update Tanzu Kubernetes Grid clusters Remove vSphere with Kubernetes Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware vSphere with Tanzu: Deploy and Manage [V7] 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 vSphere with Tanzu: Deploy and Manage [V7] 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.