42555 Courses delivered Online

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 5 Days 30 CPD hours This course is intended for This intermediate-level course requires students have incoming experience working with Oracle Database 18 or higher. Overview Working in a hands-on learning environment led by our expert facilitator, you'll explore: The Oracle Database Architecture Query Optimizer Tuning Container Databases and Pluggable Databases Oracle 19c Tuning features Evaluating Execution Plans Oracle Tuning Tools Using Automatic Workload Repository Join Types AWR Using Baselines Additional AWR performance tools Optimizer Statistics Monitoring a Service Bind Variables and database parameters Oracle's Real Application Testing (RAT) SQL Tuning Advisor Automatic Sql Tuning Sql Plan Management Shared Pool Tuning Tuning the database buffer cache Tuning the PGA (Program Global Area) Automatic Memory Management (AMM) Tuning Segment Space Utilization (ASSM) Automatic Storage Management Oracle 19C Database Tuning is an intermediate level course for Oracle database experienced attendees that explores core tuning skills such as Database parameters, SQL Tuning Advisor, SQL Access Advisor, Adaptive SQL plans and more. Overview Oracle Database Architecture Instance Definition Define SGA Define Background Processes Datafile Definition Query Optimizer SQL Parsing Optimizing Terms Optimizing Methods Query Plan Generation Query Plan Control Tuning Container Databases and Pluggable Databases Pluggable tuning parameters Define Container tuning structure Using PDB$SEED Create a new PDB Plug and unplug a PDB Oracle 12c Tuning features Identifying and Using Oracle's Heat Map 12c Compression Levels and Types Evaluating Execution Plans Defining SQL execution plans Automatic Workload Repository Reading execution plans Oracle Tuning Tools Monitoring tools overview Enterprise Manager Dynamic Performance Views Automatic Workload Repository Automatic Database Diagnostic Monitor Sql Tuning Advisor SQL Access Advisor Sql Access Advisor DB operation Tuning DB operation Active Reporting Using Automatic Workload Repository Defining AWR AWR Settings Creating AWR Baselines Metrics, Alerts, and Thresholds Defining Metrics Setting Alerts Setting Corrective Actions User Defined Metrics Metric Dynamic Views Join Types Nested Loops Join Sort Merge join Hash Join and Cartesian Join Equijoins and Nonequijoins Outer Joins Semijoins AWR Using Baselines Creating AWR baselines Creating AWR Repeating baselines Moving Window Baseline Additional AWR performance tools Automatic Maintenance Tasks Segment Advisor Statistics Gathering Automatic Tuning Optimizer Automatic Database Diagnostic Monitor Active Session History (ASH) Optimizer Statistics Optimizer Statistics Overview Table and Index Statistics Statistic Preferences Statistics Gathering e) Locking Statistics, Export/Import Statistics Pending and published statistics Optimizer Hints Optimizer Paths Cost Base Optimization Monitoring a Service Overview of what is an Oracle Service Creating an Oracle Service for Single instance and RAC Monitoring a Service Resource Management and a Service Enterprise Manager and a Service Bind Variables and database parameters Bind variable definition Cursor_sharing parameter Adaptive Cursor Sharing Oracle's Real Application Testing (RAT) Sql Performance Analyzer overview Sql Performance Analyzer Options Database Parameter changes Database version changes Creating SQL Tuning Sets Database Replay Overview Database Replay Configuration Database Replay Options SQL Tuning Advisor SQL Tuning Advisor: Overview SQL Tuning Advisor Limited Mode Sql Tuning Advisor Comprehensive mode Sql Tuning Profiles SQL Access Advisor SQL Access Advisor: Overview Sql Access Advisor options SQL Access Advisor and Sql Tuning Sets Sql Access Advisor and AWR Results and Implementation Automatic Sql Tuning Automatic Sql Tuning Maintenance Task Automatic Tuning Optimization implementation(ATO) Automatic Tuning Optimization Results Enable/Disable Automatic Tuning Optimization Sql Plan Management Sql plan Management and baseline overview Enable sql plan management Loading Sql Plan baselines into the SGA Adaptive plan management Shared Pool Tuning Shared pool architecture Shared pool parameters Library Cache Dictionary cache Large pool considerations and contents Tuning the database buffer cache Database buffer cache overview Database buffer cache parameters Oracle and Dirty reads and writes Automatic Shared Memory Management (ASMM) Buffer Cache goals and responsibility Buffer Cache pools Tuning the PGA (Program Global Area) PGA Overview PGA Database Parameters Temporary Segments Temporary Tablespace Sizing the PGA Automatic Memory Management (AMM) Oracle's Automatic Memory Management Overview Database Auto-tuned Parameters Database Non Auto-tuned Parameters Automatic Memory Management Hints and Sizing suggestions AMM versus ASMM Tuning Segment Space Utilization (ASSM) Overview of Automatic Segment Space Management Defining the DB_BLOCK_SIZE Defining DB_nk_CACHE_SIZE parameter The DB_BLOCK_SIZE Parameter Overview of table compression, block chaining, and block migration Automatic Storage Management Overview of ASM Definition of Grid Infrastructure ASM Instance ASM Diskgroups ASM Diskgroup parameters and templates ASMCMD

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 5 Days 30 CPD hours This course is intended for Data center administrators Data center engineers Systems engineers Server administrators Network managers Cisco integrators and partners Data center designers Technical solutions architects Network architects Overview After taking this course, you should be able to: Describe the foundations of data center networking Describe Cisco Nexus products and explain the basic Cisco NX-OS functionalities and tools Describe Layer 3 first-hop redundancy Describe Cisco FEX connectivity Describe Ethernet port channels and vPCs Introduce switch virtualization, machine virtualization, and describe network virtualization Compare storage connectivity options in the data center Describe Fibre Channel communication between the initiator server and the target storage Describe Fibre Channel zone types and their uses Describe NPV and NPIV Describe data center Ethernet enhancements that provide a lossless fabric Describe FCoE Describe data center server connectivity Describe Cisco UCS Manager Describe the purpose and advantages of APIs Describe Cisco ACI Describe the basic concepts of cloud computing The Understanding Cisco Data Center Foundations (DCFNDU) v1.1 course helps you prepare for entry-level data center roles. In this course, you will learn the foundational knowledge and skills you need to configure Cisco© data center technologies including networking, virtualization, storage area networking, and unified computing. You will get an introduction to Cisco Application Centric Infrastructure (Cisco ACI), automation and cloud computing. You will get hands-on experience with configuring features on Cisco Nexus Operating System (Cisco NX-OS) and Cisco Unified Computing System (Cisco UCS). This course does not lead directly to a certification exam, but it does cover foundational knowledge that can help you prepare for several CCNP and other professional-level data center courses and exams. Describing the Data Center Network Architectures Cisco Data Center Architecture Overview Three-Tier Network: Core, Aggregation, and Access Spine-and-Leaf Network Two-Tier Storage Network Describing the Cisco Nexus Family and Cisco NX-OS Software Cisco Nexus Data Center Product Overview Cisco NX-OS Software Architecture Cisco NX-OS Software CLI Tools Cisco NX-OS Virtual Routing and Forwarding Describing Layer 3 First-Hop Redundancy Default Gateway Redundancy Hot Standby Router Protocol Virtual Router Redundancy Protocol Gateway Load Balancing Protocol Describing Cisco FEX Server Deployment Models Cisco FEX Technology Cisco FEX Traffic Forwarding Cisco Adapter FEX Describing Port Channels and vPCs Ethernet Port Channels Virtual Port Channels Supported vPC Topologies Describing Switch Virtualization Cisco Nexus Switch Basic Components Virtual Routing and Forwarding Cisco Nexus 7000 VDCs VDC Types VDC Resource Allocation VDC Management Describing Machine Virtualization Virtual Machines Hypervisor VM Manager Describing Network Virtualization Overlay Network Protocols VXLAN Overlay VXLAN BGP EVPN Control Plane VXLAN Data Plane Cisco Nexus 1000VE Series Virtual Switch VMware vSphere Virtual Switches Introducing Basic Data Center Storage Concepts Storage Connectivity Options in the Data Center Fibre Channel Storage Networking VSAN Configuration and Verification Describing Fibre Channel Communication Between the Initiator Server and the Target Storage Fibre Channel Layered Model FLOGI Process Fibre Channel Flow Control Describing Fibre Channel Zone Types and Their Uses Fibre Channel Zoning Zoning Configuration Zoning Management Describing Cisco NPV Mode and NPIV Cisco NPV Mode NPIV Mode Describing Data Center Ethernet Enhancements IEEE Data Center Bridging Priority Flow Control Enhanced Transmission Selection DCBX Protocol Congestion Notification Describing FCoE Cisco Unified Fabric FCoE Architecture FCoE Initialization Protocol FCoE Adapters Describing Cisco UCS Components Physical Cisco UCS Components Cisco Fabric Interconnect Product Overview Cisco IOM Product Overview Cisco UCS Mini Cisco IMC Supervisor Cisco Intersight Describing Cisco UCS Manager Cisco UCS Manager Overview Identity and Resource Pools for Hardware Abstraction Service Profiles and Service Profile Templates Cisco UCS Central Overview Cisco HyperFlex Overview Using APIs Common Programmability Protocols and Methods How to Choose Models and Processes Describing Cisco ACI Cisco ACI Overview Multitier Applications in Cisco ACI Cisco ACI Features VXLAN in Cisco ACI Unicast Traffic in Cisco ACI Multicast Traffic in Cisco ACI Cisco ACI Programmability Common Programming Tools and Orchestration Options Describing Cloud Computing Cloud Computing Overview Cloud Deployment Models Cloud Computing Services Lab outline Explore the Cisco NX-OS CLI Explore Topology Discovery Configure HSRP Configure vPCs Configure VRF Explore the VDC Elements Install ESXi and vCenter Configure VSANs Validate FLOGI and FCNS Configure Zoning Configure Unified Ports on a Cisco Nexus Switch and Implement FCoE Explore the Cisco UCS Server Environment Configure a Cisco UCS Service Profile Configure Cisco NX-OS with APIs Explore the Cisco UCS Manager XML API Management Information Tree Explore Cisco ACI

Duration 5 Days 30 CPD hours This course is intended for Anyone who plans to work with Kubernetes at any level or tier of involvement Any company or individual who wants to advance their knowledge of the cloud environment Application Developers Operations Developers IT Directors/Managers Overview All topics required by the CKAD exam, including: Deploy applications to a Kubernetes cluster Pods, ReplicaSets, Deployments, DaemonSets Self-healing and observable applications Multi-container Pod Design Application configuration via Configmaps, Secrets Administrate cluster use for your team A systematic understanding of Kubernetes architecture Troubleshooting and debugging tools Kubernetes networking and services Kubernetes is a Cloud Orchestration Platform providing reliability, replication, and stability while maximizing resource utilization for applications and services. By the conclusion of this hands-on training, you will go back to work with all necessary commands and practical skills to empower your team to succeed, as well as gain knowledge of important concepts like Kubernetes architecture and container orchestration. We prioritize covering all objectives and concepts necessary for passing the Certified Kubernetes Application Developer (CKAD) exam. You will command and configure a high availability Kubernetes environment (and later, build your own!) capable of demonstrating all ?K8s'' features discussed and demonstrated in this course. Your week of intensive, hands-on training will conclude with a mock CKAD exam that matches the real thing. Kubernetes Architecture Components Understand API deprecations Containers Define, build and modify container images Pods Master Services Node Services K8s Services YAML Essentials Creating a K8s Cluster kubectl Commands Kubernetes Resources Kubernetes Namespace Kubernetes Contexts Pods What is a Pod? Create, List, Delete Pods How to Access Running Pods Kubernetes Resources Managing Cloud Resource Consumption Multi-Container Pod Design Security Contexts Init Containers Understand multi-container Pod design patterns (e.g. sidecar, init and others) Pod Wellness Tracking Networking Packet Forwarding ClusterIP and NodePort Services Provide and troubleshoot access to applications via services Ingress Controllers Use Ingress rules to expose applications NetworkPolicy resource Demonstrate basic understanding of NetworkPolicies Network Plugins Defining the Service Mesh Service mesh configuration examples ReplicaSets Services ReplicaSet Function Deploying ReplicaSets Deployments Deployment Object Updating/Rolling Back Deployments Understand Deployments and how to perform rolling updates Deployment Strategies Use Kubernetes primitives to implement common deployment strategies (e.g. blue/green or canary) Scaling ReplicaSets Autoscaling Labels and Annotations Labels Annotations Node Taints and Tolerations Jobs The K8s Job and CronJob Understand Jobs and CronJobs Immediate vs. scheduled internal use Application Configuration Understanding and defining resource requirements, limits and quotas Config Maps Create & consume Secrets Patching Custom Resource Definition Discover and use resources that extend Kubernetes (CRD) Managing ConfigMaps and Secrets as Volumes Storage Static and dynamic persistent volumes via StorageClass K8s volume configuration Utilize persistent and ephemeral volumes Adding persistent storage to containers via persistent volume claims Introduction to Helm Helm Introduction Charts Use the Helm package manager to deploy existing packages Application Security Understand authentication, authorization and admission control Understand ServiceAccounts Understand SecurityContexts Application Observability and Maintenance Use provided tools to monitor Kubernetes applications How to Troubleshoot Kubernetes Basic and Advanced Logging Techniques Utilize container logs Accessing containers with Port-Forward Debugging in Kubernetes Hands on Labs: Define, build and modify container images Deploy Kubernetes using Ansible Isolating Resources with Kubernetes Namespaces Cluster Access with Kubernetes Context Listing Resources with kubectl get Examining Resources with kubectl describe Create and Configure Basic Pods Debugging via kubectl port-forward Imperative vs. Declarative Resource Creation Performing Commands inside a Pod Understanding Labels and Selectors Insert an Annotation Create and Configure a ReplicaSet Writing a Deployment Manifest Perform rolling updates and rollbacks with Deployments Horizontal Scaling with kubectl scale Implement probes and health checks Understanding and defining resource requirements, limits and quotas Understand Jobs and CronJobs Best Practices for Container Customization Persistent Configuration with ConfigMaps Create and Consume Secrets Understand the Init container multi-container Pod design pattern Using PersistentVolumeClaims for Storage Dynamically Provision PersistentVolumes with NFS Deploy a NetworkPolicy Provide and troubleshoot access to applications via services Use Ingress rules to expose applications Understand the Sidecar multi-container Pod design pattern Setting up a single tier service mesh Tainted Nodes and Tolerations Use the Helm package manager to deploy existing packages A Completed Project Install Jenkins Using Helm and Run a Demo Job Custom Resource Definitions (CRDs) Patching Understanding Security Contexts for Cluster Access Control Utilize container logs Advanced Logging Techniques Troubleshooting Calicoctl Deploy a Kubernetes Cluster using Kubeadm Monitoring Applications in Kubernetes Resource-Based Autoscaling Create ServiceAccounts for use with the Kubernetes Dashboard Saving Your Progress With GitHub CKAD Practice Drill Alta Kubernetes Course Specific Updates Sourcing Secrets from HashiCorp Vault Example CKAD Test Questions

Duration 5 Days 30 CPD hours This course is intended for Network and security architects and consultants who design the enterprise and data center networks and NSX environments Overview By the end of the course, you should be able to meet the following objectives: Describe and apply a design framework Apply a design process for gathering requirements, constraints, assumptions, and risks Design a VMware vSphere virtual data center to support NSX requirements Create a VMware NSX Manager™ cluster design Create a VMware NSX Edge™ cluster design to support traffic and service requirements in NSX Design logical switching and routing Recognize NSX security best practices Design logical network services Design a physical network to support network virtualization in a software-defined data center Create a design to support the NSX infrastructure across multiple sites Describe the factors that drive performance in NSX This five-day course provides comprehensive training on considerations and practices to design a VMware NSX© environment as part of a software-defined data center strategy. This course prepares the student with the skills to lead the design of an NSX environment, including design principles, processes, and frameworks. The student gains a deeper understanding of the NSX architecture and how it can be used to create solutions to address the customer?s business needs. Course Introduction Introduction and course logistics Course objectives NSX Design Concepts Identify design terms Describe framework and project methodology Describe the role of VMware Cloud Foundation? in NSX design Identify customers? requirements, assumptions, constraints, and risks Explain the conceptual design Explain the logical design Explain the physical design NSX Architecture and Components Recognize the main elements in the NSX architecture Describe the NSX management cluster and the management plane Identify the functions and components of management, control, and data planes Describe the NSX Manager sizing options Recognize the justification and implication of NSX Manager cluster design decisions Identify the NSX management cluster design options NSX Edge Design Explain the leading practices for edge design Describe the NSX Edge VM reference designs Describe the bare-metal NSX Edge reference designs Explain the leading practices for edge cluster design Explain the effect of stateful services placement Explain the growth patterns for edge clusters Identify design considerations when using L2 bridging services NSX Logical Switching Design Describe concepts and terminology in logical switching Identify segment and transport zone design considerations Identify virtual switch design considerations Identify uplink profile and transport node profile design considerations Identify Geneve tunneling design considerations Identify BUM replication mode design considerations NSX Logical Routing Design Explain the function and features of logical routing Describe the NSX single-tier and multitier routing architectures Identify guidelines when selecting a routing topology Describe the BGP and OSPF routing protocol configuration options Explain gateway high availability modes of operation and failure detection mechanisms Identify how multitier architectures provide control over stateful service location Identify EVPN requirements and design considerations Identify VRF Lite requirements and considerations Identify the typical NSX scalable architectures NSX Security Design Identify different security features available in NSX Describe the advantages of an NSX Distributed Firewall Describe the use of NSX Gateway Firewall as a perimeter firewall and as an intertenant firewall Determine a security policy methodology Recognize the NSX security best practices NSX Network Services Identify the stateful services available in different edge cluster high availability modes Describe failover detection mechanisms Compare NSX NAT solutions Explain how to select DHCP and DNS services Compare policy-based and route-based IPSec VPN Describe an L2 VPN topology that can be used to interconnect data centers Explain the design considerations for integrating VMware NSX© Advanced Load Balancer? with NSX Physical Infrastructure Design Identify the components of a switch fabric design Assess Layer 2 and Layer 3 switch fabric design implications Review guidelines when designing top-of-rack switches Review options for connecting transport hosts to the switch fabric Describe typical designs for VMware ESXi? compute hypervisors with two pNICs Describe typical designs for ESXi compute hypervisors with four or more pNICs Differentiate dedicated and collapsed cluster approaches to SDDC design NSX Multilocation Design Explain scale considerations in an NSX multisite design Describe the main components of the NSX Federation architecture Describe the stretched networking capability in Federation Describe stretched security use cases in Federation Compare the Federation disaster recovery designs NSX Optimization and DPU-Based Acceleration Describe Geneve Offload Describe the benefits of Receive Side Scaling and Geneve Rx Filters Explain the benefits of SSL Offload Describe the effect of Multi-TEP, MTU size, and NIC speed on throughput Explain the available enhanced datapath modes and use cases List the key performance factors for compute nodes and NSX Edge nodes Describe DPU-Based Acceleration Define the NSX features supported by DPUs Describe the hardware and networking configurations supported with DPUs

Duration 5 Days 30 CPD hours This course is intended for Network and security architects and consultants who design the enterprise and data center networks and VMware NSX environments Overview By the end of the course, you should be able to meet the following objectives: Describe and apply a design framework Apply a design process for gathering requirements, constraints, assumptions, and risks Design a VMware vSphere virtual data center to support NSX-T Data Center requirements Create a VMware NSX Manager™ cluster design Create a VMware NSX Edge™ cluster design to support traffic and service requirements in NSX-T Data Center Design logical switching and routing Recognize NSX-T Data Center security best practices Design logical network services Design a physical network to support network virtualization in a software-defined data center Create a design to support the NSX-T Data Center infrastructure across multiple sites Describe the factors that drive performance in NSX-T Data Center This five-day course provides comprehensive training on considerations and practices to design a VMware NSX-T? Data Center environment as part of a software-defined data center strategy. This course prepares the student with the skills to lead the design of NSX-T Data Center offered in release 3.2, including design principles, processes, and frameworks. The student gains a deeper understanding of the NSX-T Data Center architecture and how it can be used to create solutions to address the customer?s business needs. Course Introduction Introduction and course logistics Course objectives Design Concepts Identify design terms Describe framework and project methodology Describe VMware Validated Design? Identify customers? requirements, assumptions, constraints, and risks Explain the conceptual design Explain the logical design Explain the physical design NSX Architecture and Components Recognize the main elements in the NSX-T Data Center architecture Describe the NSX management cluster and the management plane Identify the functions and components of management, control, and data planes Describe the NSX Manager sizing options Recognize the justification and implication of NSX manager cluster design decisions Identify the NSX management cluster design options NSX Edge Design Explain the leading practices for edge design Describe the NSX Edge VM reference designs Describe the bare-metal NSX Edge reference designs Explain the leading practices for edge cluster design Explain the effect of stateful services placement Explain the growth patterns for edge clusters Identify design considerations when using L2 bridging services NSX Logical Switching Design Describe concepts and terminology in logical switching Identify segment and transport zone design considerations Identify virtual switch design considerations Identify uplink profile, VMware vSphere© Network I/O Control profile, and transport node profile design considerations Identify Geneve tunneling design considerations Identify BUM replication mode design considerations NSX Logical Routing Design Explain the function and features of logical routing Describe NSX-T Data Center single-tier and multitier routing architectures Identify guidelines when selecting a routing topology Describe the BGP and OSPF routing protocol configuration options Explain gateway high availability modes of operation and failure detection mechanisms Identify how multitier architectures provide control over stateful service location Identify VRF Lite requirements and considerations Identify the typical NSX scalable architectures NSX Security Design Identify different security features available in NSX-T Data Center Describe the advantages of an NSX Distributed Firewall Describe the use of NSX Gateway Firewall as a perimeter firewall and as an intertenant firewall Determine a security policy methodology Recognize the NSX-T Data Center security best practices NSX Network Services Identify the stateful services available in different edge cluster high availability modes Describe failover detection mechanisms Explain the design considerations for integrating VMware NSX© Advanced Load Balancer? with NSX-T Data Center Describe stateful and stateless NSX-T Data Center NAT Identify benefits of NSX-T Data Center DHCP Identify benefits of metadata proxy Describe IPSec VPN and L2 VPN Physical Infrastructure Design Identify the components of a switch fabric design Assess Layer 2 and Layer 3 switch fabric design implications Review guidelines when designing top-of-rack switches Review options for connecting transport hosts to the switch fabric Describe typical designs for VMware ESXi? compute hypervisors with two pNICs Describe typical designs for ESXi compute hypervisors with four or more pNICs Describe a typical design for a KVM compute hypervisor with two pNICs Differentiate dedicated and collapsed cluster approaches to SDDC design NSX Multilocation Design Explain scale considerations in an NSX-T Data Center multisite design Describe the main components of the NSX Federation architecture Describe the stretched networking capability in Federation Describe stretched security use cases in Federation Compare Federation disaster recovery designs NSX Optimization Describe Geneve Offload Describe the benefits of Receive Side Scaling and Geneve Rx Filters Explain the benefits of SSL Offload Describe the effect of Multi-TEP, MTU size, and NIC speed on throughput Explain the available N-VDS enhanced datapath modes and use cases List the key performance factors for compute nodes and NSX Edge nodes

Duration 3 Days 18 CPD hours This course is intended for This course is intended for both novice and experienced project managers, managers, schedulers, and other project stake holders who need to incorporate the discipline of project management with Microsoft Project 2019. Overview Understand the discipline of project management as it applies to using Microsoft Project 2019. Create a Work Breakdown Structure. Identify Task Types & Relationships. Define Resources within Project. Make Work Package Estimates. Create an Initial Schedule. Create a Resource Leveled Schedule. Create Projects from templates, Excel files. Create Global templates. Create formulas and graphical indicators. The steps to record a macro. Format Output and Print Reports. Integrate Multiple Projects. Set up a Project with a Calendar, Start date, and scheduling method. Understand Manually Schedule vs. Auto Schedule. Manage multiple projects. Be able to create a master project list with shared resources. This three-day instructor-led course is intended for individuals who are interested in expanding their knowledge base and technical skills about Microsoft Project. The course begins with the basic concepts and leads students through all the functions they?ll need to plan and manage a small to medium-size project, including how to level resources and capture both cost and schedule progress. 1 - Introduction to Microsoft Project Describe how Project relates to the discipline of Project management. Learn what the new features are in Project 2019. Navigate to the primary views available using the Ribbon. Choose Views that display task, resource, or assignment information. Select table within views to change the information that is available to see and edit. Relate the features of Project to the 5 steps for building a plan in Project. Learn new accessibility features in Project 2 - A Quick and Easy Overview of Managing with Project Create a new project and prepare it for data entry. Enter project tasks. Sequence the tasks. Define resources. Estimate Task duration and assign resources. Baseline the project. Track project progress. 3 - Setting Up a Project Use multiple methods to create a new project from an Excel file and a SharePoint Tasks list. Establish one or more calendars to constrain resource availability. Configure Project to calculate the schedule from the Start Date forward, or from the Finish Date backward. 4 - Manually Schedule vs. Auto Schedule Students practice switching tasks between Manually Schedule and Auto Schedule modes. By switching modes, students learn the impact made on the project schedule and the individual tasks. 5 - Creating a Work Breakdown Structure Build and use summary and subordinate tasks. Understand and use milestones. Develop WBS Outlines. Assign completion criteria. Evaluate the WBS. Understand and use WBS templates. 6 - Identifying Task Relationships Understand the different types of task relationships. Understand and use various methods to create relationships. Determine and display task sequence. Understand and use lag, lead, and delay. Understand the new feature of Task Paths. 7 - Defining Resources within Project Define resource types. Define individual resources that will be used on the project. Record the cost (s) of using each type of resource. Record the limit of availability for each type of resource by establishing a resource calendar and defining the maximum units of that resource. 8 - Making Work Package Estimates Enter estimates for duration and costs for each task. Distinguish between task types and describe when each is appropriate. Describe the relationship between work, units, and duration. Describe the way Effort Driven scheduling is affected by work, units, and duration. Assign tasks to resources using the Team Planner view. 9 - Creating an Initial Schedule Calculate float and identify a project?s critical path. Understand and identify task constraints. Create milestones. Use the Task Inspector to troubleshoot the initial schedule. 10 - Create a Resource Leveled Schedule Adjust a project schedule to account for limited people and other resources. View the overall cost and schedule of a project. Identify resources that have been overallocated for a project schedule. Use multiple ways to adjust tasks and assignments to remove over allocation for any resource. 11 - Managing the Project Learn how to set a baseline. Lean how to enter and track project performance data. Learn how to apply different tracking methods. Learn how to perform a variance analysis on a project. Learn how to Reschedule Work Learn how to inactivate tasks Learn how to synch projects to SharePoint 12 - Formatting Output and Printing Reports Print Views Formats Sorting Filtering Grouping Custom Fields Reporting Other File Formats 13 - Managing Multiple Projects Learn how to use common resources among multiple projects. Learn how to link tasks between multiple projects. Learn how to create a consolidated view of multiple projects. 14 - Advanced Topics Learn how to customize the Ribbon and the Quick Access Toolbar. Learn how to customize WBS numbering. Learn the concepts of Formulas and Graphical indicators. Learn the purpose of the Global template and Organizer. Learn how to record a Macro.

Duration 5 Days 30 CPD hours This course is intended for This hands-on course is geared for experienced DBAs new to Oracle 19c, who can work in Linux and have basic experience with SQL scripting. Overview This course combines expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Working in a hands-on learning environment led by our Oracle Certified expert facilitator, students will learn how to: How to use tools to access an Oracle Database Generate database creation scripts by using DBCA How to create a container database (CDB) by using the CREATE DATABASE command Learn about Startup and shut down Oracle databases Initialization parameter files and initialization parameters Tools that are used to administer Oracle Net Services How to use the Oracle Connection Manager Control utility to administer Oracle Connection Manager How to create a new PDB from the PDB seed. Logical and physical storage structures in an Oracle database Usage of Oracle Database features that save space Explanation of DML and undo data generation Learn about general architecture of Oracle Data Pump and SQL*Loader How to use SQL*Loader to load data from a non-Oracle database (or user files) Bonus Content / Time Permitting: Explanation of maintenance windows Bonus Content / Time Permitting: Employ basic monitoring procedures and manage performance Oracle 19C Database Administration I (Oracle DBA I) is a comprehensive, hands-on course provides concrete information on the design of an Oracle Database instance and database, allowing you to manage your database investment. In this class, you will learn how to create database storage structures that align with your requirements and business models. You will also learn how to create users and administer databases as well as harden the databases to meet your business requirements. This is the foundational course for learning about Oracle Database and it does not assume prior knowledge or Oracle technologies, however you should have incoming experience working with SQL, and be comfortable with Linux and working from the command line. This training is NOT Official Oracle University training. This is independent, adjustable content that aligns with current topics, skills and tools that participants need to excel in these areas. Introduction to Oracle Database Oracle Multitenant Container Database Oracle Database Instance Configurations Database Sharding Oracle Database Server Accessing an Oracle Database Oracle Database Tools Database Tool Choices SQL Developer Enterprise Manager Database Express Creating an Oracle Database by Using DBCA Planning the Database Choosing a Database Template Configuration Assistant Creating an Oracle Database by Using a SQL Command Creating a Container Database Enable Pluggable Database Starting Up and Shutting Down a Database Instance Starting the Oracle Database Instance Shutting Down an Oracle Database Instance Opening and Closing PDBs Managing Database Instances Investigating Initialization Parameter Files Viewing Initialization Parameters by Using SQL*Plus Modifying Initialization Parameters by Using SQL*Plus Viewing Diagnostic Information Oracle Net Services Overview Oracle Net Services Components Oracle Net Listener Configuring Naming Methods Configuring the Oracle Network to Access a Database Creating a Net Service Name for a PDB Configuring and Administering the Listener Exploring the Default Listener Creating a Second Listener Connecting to a Database Service Using the New Listener Configuring a Shared Server Architecture Configuring Shared Server Mode Configuring Clients to Use a Shared Server Configuring Oracle Connection Manager for Multiplexing and Access Control Oracle Connection Manager Processes Filtering Rules Session Multiplexing Creating PDBs Creating a New PDB from the PDB Seed Cloning Remote PDBs in Hot Mode Relocating PDBs Managing PDBs Renaming a PDB Setting Parameter Values for PDBs Database Storage Overview Logical and Physical Database Structures Tablespaces and Data Files Types of Segments Monitoring Tablespace Space Usage Creating and Managing Tablespaces Viewing Tablespace Information Creating a Tablespace Managing Temporary and Permanent Tablespaces Improving Space Usage Managing Space in Tablespaces Using Compression Enabling the Resumable Space Allocation Feature Creating and Managing User Accounts Creating Common and Local Users Creating a Local User for an Application Exploring OS and Password File Authentication Configuring Privilege and Role Authorization Granting a Local Role (DBA) to PDBADMIN Using SQL*Developer to Create Local Roles Configuring User Resource Limits Using SQL*Developer to Create a Local Profile & Users Configuring a Default Role for a User Implementing Oracle Database Auditing Enabling Unified Auditing Creating Audit Users Creating an Audit Policy Introduction to Loading and Transporting Data General Architecture Oracle Data Pump SQL Loader Loading Data into a PDB from an External File Moving Data from One PDB to Another PDB Transporting a Tablespace Using External Tables to Load and Transport Data Querying External Tables Unloading External Tables Automated Maintenance Tasks Overview Automated Maintenance Tasks Maintenance Windows Predefined Maintenance Windows Bonus: Managing Tasks and Windows Enabling and Disabling Automated Maintenance Tasks Modifying the Duration of a Maintenance Window Bonus: Database Monitoring and Performance Tuning Overview Performance Planning Considerations Automatic Workload Repository (AWR) Advisory Framework Bonus: Monitoring Database Performance & Processes Server-Generated Alerts Setting Metric Thresholds Performance Monitoring Examining the Database Background Processes Bonus: Tuning Database Memory Viewing Memory Configurations Bonus: Analyzing SQL and Optimizing Access Paths Using the Optimizer Statistics Advisor

Duration 3 Days 18 CPD hours This course is intended for Service providers who are designing or using VMware SD-WAN solutions or managing SD-WAN networks for customers Service providers looking to deliver a managed hybrid WAN with MPLS service Service providers transforming their MPLS networks for direct access to cloud services and increased network agility Overview By the end of the course, you should be able to meet the following objectives: Describe how VMware SASE™ solves security challenges for distributed enterprises Identify where VMware SD-WAN fits in the VMware SASE framework Describe the process for validating the installation of VMware SD-WAN Orchestrator and Gateway in a service provider environment Describe the features for monitoring and maintaining a VMware SD-WAN installation Evaluate the security features and certificate operations for managing a VMware SD-WAN installation Describe VMware SD-WAN Edge licensing and license types Describe the features of VMware Edge Network Intelligence™ Recognize VMware SD-WAN network monitoring tools for generating reports, events, and alerts Recognize the remote diagnostic actions available on VMware SD-WAN Orchestrator Troubleshoot VMware SD-WAN Orchestrator and Gateway common issues This three-day, hands-on training course provides you with the advanced knowledge, skills, and tools to achieve competency in operating and troubleshooting the VMware SD-WAN? environment for service providers.In this course, you focus on deploying and managing VMware SD-WAN for a service provider, including troubleshooting common issues. Course Introduction Introductions and course logistics Course objectives VMware SD-WAN Installation for Service Providers Describe security challenges for distributed enterprises Describe the VMware SASE solution for securing distributed enterprises Describe VMware deployment models for service providers Explain how VMware SD-WAN can help to transform MPLS networks to service-ready networks Identify resource requirements for installing VMware SD-WAN Orchestrator and Gateways Describe the procedure for installing VMware SD-WAN Orchestrator Describe the process for provisioning VMware SD-WAN Orchestrator Identify the external service dependencies for VMware SD-WAN Orchestrator Recognize disaster recovery options for SD-WAN Orchestrator Describe the disaster recovery workflow for VMware SD-WAN Orchestrator Identify the requirements for installing VMware SD-WAN Gateway instances Describe the procedure for installing VMware SD-WAN Gateway instances Describe the procedure for installing VMware SD-WAN Gateway instances on ESXi hosts identify Data Plane Development Kit support for gateway performance Describe the VMware SD-WAN Gateway deployment modes for service providers Configure a VMware SD-WAN Gateway for a service provider Assign a VMware SD-WAN Gateway for a service provider VMware SD-WAN Monitoring and Maintenance Describe VMware SD-WAN Orchestrator system health-monitoring features Describe VMware SD-WAN Orchestrator process-monitoring features Describe VMware SD-WAN Orchestrator storage-monitoring features Describe VMware SD-WAN Orchestrator database-monitoring features Describe the VMware SD-WAN Orchestrator upgrade process Describe the VMware SD-WAN Orchestrator backup and data archival processes Describe the VMware SD-WAN Orchestrator process to expand database disks Describe the VMware SD-WAN Orchestrator system metrics for monitoring Describe how systems metrics are collected for monitoring VMware SD-WAN Orchestrator Describe VMware SD-WAN Gateway additions and removals Describe the VMware SD-WAN Gateway upgrade process Describe the VMware SD-WAN Gateway validation process VMware SD-WAN Security and Edge Licensing Describe the VMware SD-WAN PKI security infrastructure Recognize VMware SD-WAN PKI authentication modes Describe VMware SD-WAN certificate operations Describe the VMware SD-WAN PKI certificate authentication configuration Describe the VMware SD-WAN PKI configuration process Compare operator and partner logins Describe the VMware SD-WAN self-signed certificate authority process Describe VMware SD-WAN certificate authority renewal and revocation Describe the VMware SD-WAN intermediate certificate authority Describe the VMware SD-WAN certificate chain of trust Describe the VMware SD-WAN Edge licensing and license types Assign and view the VMware SD-WAN Edge licenses and reports VMware SD-WAN Reporting and Diagnostics Describe the VMware SD-WAN network monitoring tools Describe the VMware SD-WAN network visibility options and controls Identify the VMware SD-WAN Orchestrator reporting features Describe and analyze VMware SD-WAN Orchestrator events View enterprise reports by operator, partner, and administrator View historical network insights and real-time reports on path visibility Describe common VMware SD-WAN alerts Describe the VMware SD-WAN heart mechanism for alerts Configure VMware SD-WAN alerts Analyze common VMware SD-WAN alerts Use standard networking tools for monitoring VMware SD-WAN Describe remote diagnostic actions available on VMware SD-WAN Orchestrator Use the remote diagnostics tools on VMware SD-WAN Orchestrator Generate remote diagnostics bundles and packet captures VMware SD-WAN Orchestrator and Gateway Troubleshooting Recognize the basic sanity checks to troubleshoot VMware SD-WAN Orchestrator Create diagnostic bundles to enable support to troubleshoot VMware SD-WAN Orchestrator Recognize the basic checks to troubleshoot VMware SD-WAN Orchestrator Troubleshoot common VMware SD-WAN Orchestrator performance issues Describe the tools available to troubleshoot VMware SD-WAN Gateway Analyze sample outputs for debugging a VMware SD-WAN Gateway issue Use Data Plane Development Kit to improve VMware SD-WAN Gateway performance VMware SD-WAN Orchestrator and Gateway Commands Recognize when and how to use VMware SD-WAN Orchestrator database-monitoring commands Recognize when and how to use the VMware SD-WAN Gateway process-monitoring commands