98 IT Manager courses

Duration 2 Days 12 CPD hours This course is intended for System architects, system administrators, IT managers, VMware partners, and individuals responsible for implementing and managing vSphere architectures who want to deploy vSphere 8.0 into their existing vSphere environment. Overview By the end of the course, you should be able to meet the following objectives: Recognize the importance of key features and enhancements in vSphere 8.0 Describe vCenter Server, VMware ESXi, storage, virtual machine, and security enhancements in vSphere 8.0 Describe the purpose of vSphere Distributed Services Engine Update an ESXi host equipped with a Data Processing Unit (DPU) using vSphere Lifecycle Manager Identify devices supported for system storage on ESXi 8.0 Recognize enhancements to VM hardware compatibility settings VMware vSphere Memory Monitoring and Remediation and the improvements to vSphere DRS Recognize the new Virtual Non-Uniform Memory Access (vNUMA) topology settings of a VM in vSphere Client Use vSphere Lifecycle Manager and Auto Deploy to manage the configuration specifications for the hosts in a cluster Recognize the vSphere Lifecycle Manager and Auto Deploy enhancements in vSphere 8.0 Recognize the cloud benefits that VMware vSphere+ brings to on-premises workloads Recognize technology that is discontinued or deprecated in vSphere 8.0 In this two-day course, you explore the new features and enhancements following VMware vCenter Server 8.0 and VMware ESXi 8.0. Real-world use-case scenarios, hands-on lab exercises, and lectures teach you the skills that you need to effectively implement and configure VMware vSphere 8.0. Course Introduction Introductions and course logistics Course objectives Artificial Intelligence and Machine Learning Describe how device groups support AI and ML in vSphere 8 Describe how device virtualization extensions support AI and ML in vSphere 8 vSphere Distributed Services Engine Describe the benefits of Distributed Services Engine Explain how Distributed Services Engine works Recognize use cases for Distributed Services Engine Install ESXi on a host equipped with a DPU View DPU information in vSphere Client Add an ESXi host equipped with a DPU to a cluster Update an ESXi host equipped with a DPU using vSphere Lifecycle Manager Create a vSphere Distributed Switch for network offloads Add a host with a DPU to the vSphere Distributed Switch Configure a VM to use Uniform Passthrough Mode vSphere and vCenter Management Review the improvements to the communication between vCenter and ESXi hosts Review the enhancements to the vCenter recovery process ESXi Enhancements Describe the function of the central configuration store in ESXi Explain how ConfigStore affects your interaction with ESXi configuration files Recognize the supported system storage partition configuration on ESXi 8.0 Identify devices supported for system storage on ESXi 8.0 Configure an RDMA host local device on ESXi vSphere Storage Describe the vSAN Express Storage Architecture Recognize the benefits of using vSAN Express Storage Architecture Describe the benefits of using NVMe Recognize the support for NVMe devices in vSphere Guest OS and Workloads Review the enhancements of the latest virtual hardware versions Describe the features introduced with virtual hardware version 20 Create a snapshot of a VM with an NVDIMM device Resource Management View energy and carbon emission metrics in vRealize Operations Manager Describe the VMware vSphere Memory Monitoring and Remediation (vMMR) functionality Describe how vMMR enhances the performance of vSphere DRS Security and Compliance Describe how to handle vTPM secrets when cloning a VM Manage OVF templates for VMs that are configured with vTPM Deploy an OVF template with vTPM Describe the enhancements to trusted binary enforcement in ESXi Describe ESXi 8 enhanced security features vSphere Lifecycle Manager Describe the enhancements to life cycle management of standalone ESXi hosts Manage the configuration profiles of ESXi hosts in a cluster with vSphere Lifecycle Manager Use Auto Deploy to boot a host with the desired image and configuration specifications Upgrade multiple ESXi hosts in a cluster in parallel Stage an ESXi host image prior to remediation Auto Deploy Manage custom host certificates using Auto Deploy vSphere with Tanzu Describe the features of the Tanzu Kubernetes Grid 2.0 offering Announcing vSphere+ Describe the functionality and benefits of vSphere+

Duration 3 Days 18 CPD hours This course is intended for The target audience for the SRE Practitioner course are professionals including: Anyone focused on large-scale service scalability and reliability Anyone interested in modern IT leadership and organizational change approaches Business Managers Business Stakeholders Change Agents Consultants DevOps Practitioners IT Directors IT Managers IT Team Leaders Product Owners Scrum Masters Software Engineers Site Reliability Engineers System Integrators Tool Providers Overview After completing this course, students will have learned: Practical view of how to successfully implement a flourishing SRE culture in your organization. The underlying principles of SRE and an understanding of what it is not in terms of anti-patterns, and how you become aware of them to avoid them. The organizational impact of introducing SRE. Acing the art of SLIs and SLOs in a distributed ecosystem and extending the usage of Error Budgets beyond the normal to innovate and avoid risks. Building security and resilience by design in a distributed, zero-trust environment. How do you implement full stack observability, distributed tracing and bring about an Observability-driven development culture? Curating data using AI to move from reactive to proactive and predictive incident management. Also, how you use DataOps to build clean data lineage. Why is Platform Engineering so important in building consistency and predictability of SRE culture? Implementing practical Chaos Engineering. Major incident response responsibilities for a SRE based on incident command framework, and examples of anatomy of unmanaged incidents. Perspective of why SRE can be considered as the purest implementation of DevOps SRE Execution model Understanding the SRE role and understanding why reliability is everyone's problem. SRE success story learnings This course introduces a range of practices for advancing service reliability engineering through a mixture of automation, organizational ways of working and business alignment. Tailored for those focused on large-scale service scalability and reliability. SRE Anti-patterns Rebranding Ops or DevOps or Dev as SRE Users notice an issue before you do Measuring until my Edge False positives are worse than no alerts Configuration management trap for snowflakes The Dogpile: Mob incident response Point fixing Production Readiness Gatekeeper Fail-Safe really? SLO is a Proxy for Customer Happiness Define SLIs that meaningfully measure the reliability of a service from a user?s perspective Defining System boundaries in a distributed ecosystem for defining correct SLIs Use error budgets to help your team have better discussions and make better data-driven decisions Overall, Reliability is only as good as the weakest link on your service graph Error thresholds when 3rd party services are used Building Secure and Reliable Systems SRE and their role in Building Secure and Reliable systems Design for Changing Architecture Fault tolerant Design Design for Security Design for Resiliency Design for Scalability Design for Performance Design for Reliability Ensuring Data Security and Privacy Full-Stack Observability Modern Apps are Complex & Unpredictable Slow is the new down Pillars of Observability Implementing Synthetic and End user monitoring Observability driven development Distributed Tracing What happens to Monitoring? Instrumenting using Libraries an Agents Platform Engineering and AIOPs Taking a Platform Centric View solves Organizational scalability challenges such as fragmentation, inconsistency and unpredictability. How do you use AIOps to improve Resiliency How can DataOps help you in the journey A simple recipe to implement AIOps Indicative measurement of AIOps SRE & Incident Response Management SRE Key Responsibilities towards incident response DevOps & SRE and ITIL OODA and SRE Incident Response Closed Loop Remediation and the Advantages Swarming ? Food for Thought AI/ML for better incident management Chaos Engineering Navigating Complexity Chaos Engineering Defined Quick Facts about Chaos Engineering Chaos Monkey Origin Story Who is adopting Chaos Engineering Myths of Chaos Chaos Engineering Experiments GameDay Exercises Security Chaos Engineering Chaos Engineering Resources SRE is the Purest form of DevOps Key Principles of SRE SREs help increase Reliability across the product spectrum Metrics for Success Selection of Target areas SRE Execution Model Culture and Behavioral Skills are key SRE Case study Post-class assignments/exercises Non-abstract Large Scale Design (after Day 1) Engineering Instrumentation- Instrumenting Gremlin (after Day 2)

Duration 2 Days 12 CPD hours This course is intended for Cloud Solutions Architects, Site Reliability Engineers, Systems Operations professionals, DevOps Engineers, IT managers. Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud Platform. Overview Apply a tool set of questions, techniques and design considerations Define application requirements and express them objectively as KPIs, SLO's and SLI's Decompose application requirements to find the right microservice boundaries Leverage Google Cloud developer tools to set up modern, automated deployment pipelines Choose the appropriate Google Cloud Storage services based on application requirements Architect cloud and hybrid networks Implement reliable, scalable, resilient applications balancing key performance metrics with cost Choose the right Google Cloud deployment services for your applications Secure cloud applications, data and infrastructure Monitor service level objectives and costs using Stackdriver tools This course features a combination of lectures, design activities, and hands-on labs to show you how to use proven design patterns on Google Cloud to build highly reliable and efficient solutions and operate deployments that are highly available and cost-effective. This course was created for those who have already completed the Architecting with Google Compute Engine or Architecting with Google Kubernetes Engine course. Defining the Service Describe users in terms of roles and personas. Write qualitative requirements with user stories. Write quantitative requirements using key performance indicators (KPIs). Evaluate KPIs using SLOs and SLIs. Determine the quality of application requirements using SMART criteria. Microservice Design and Architecture Decompose monolithic applications into microservices. Recognize appropriate microservice boundaries. Architect stateful and stateless services to optimize scalability and reliability. Implement services using 12-factor best practices. Build loosely coupled services by implementing a well-designed REST architecture. Design consistent, standard RESTful service APIs. DevOps Automation Automate service deployment using CI/CD pipelines. Leverage Cloud Source Repositories for source and version control. Automate builds with Cloud Build and build triggers. Manage container images with Google Container Registry. Create infrastructure with code using Deployment Manager and Terraform. Choosing Storage Solutions Choose the appropriate Google Cloud data storage service based on use case, durability, availability, scalability and cost. Store binary data with Cloud Storage. Store relational data using Cloud SQL and Spanner. Store NoSQL data using Firestore and Cloud Bigtable. Cache data for fast access using Memorystore. Build a data warehouse using BigQuery. Google Cloud and Hybrid Network Architecture Design VPC networks to optimize for cost, security, and performance. Configure global and regional load balancers to provide access to services. Leverage Cloud CDN to provide lower latency and decrease network egress. Evaluate network architecture using the Cloud Network Intelligence Center. Connect networks using peering and VPNs. Create hybrid networks between Google Cloud and on-premises data centers using Cloud Interconnect. Deploying Applications to Google Cloud Choose the appropriate Google Cloud deployment service for your applications. Configure scalable, resilient infrastructure using Instance Templates and Groups. Orchestrate microservice deployments using Kubernetes and GKE. Leverage App Engine for a completely automated platform as a service (PaaS). Create serverless applications using Cloud Functions. Designing Reliable Systems Design services to meet requirements for availability, durability, and scalability. Implement fault-tolerant systems by avoiding single points of failure, correlated failures, and cascading failures. Avoid overload failures with the circuit breaker and truncated exponential backoff design patterns. Design resilient data storage with lazy deletion. Analyze disaster scenarios and plan for disaster recovery using cost/risk analysis. Security Design secure systems using best practices like separation of concerns, principle of least privilege, and regular audits. Leverage Cloud Security Command Center to help identify vulnerabilities. Simplify cloud governance using organizational policies and folders. Secure people using IAM roles, Identity-Aware Proxy, and Identity Platform. Manage the access and authorization of resources by machines and processes using service accounts. Secure networks with private IPs, firewalls, and Private Google Access. Mitigate DDoS attacks by leveraging Cloud DNS and Cloud Armor. Maintenance and Monitoring Manage new service versions using rolling updates, blue/green deployments, and canary releases. Forecast, monitor, and optimize service cost using the Google Cloud pricing calculator and billing reports and by analyzing billing data. Observe whether your services are meeting their SLOs using Cloud Monitoring and Dashboards. Use Uptime Checks to determine service availability. Respond to service outages using Cloud Monitoring Alerts. Additional course details: Nexus Humans Architecting with Google Cloud: Design and Process 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 Architecting with Google Cloud: Design and Process course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 5 Days 30 CPD hours This course is intended for This course is recommended for: ? System Administrators ? Patch Administrators ? SA Administrators ? Policy Setters ? IT Managers ? IT or Application Architects ? Data Center Managers ? Application Experts ? Operations Experts ? Deployment Specialists ? Application Deployment Manager Administrators ? QA Team Members and Managers ? Security Administrators ? Other technical personnel who are responsible for data center automation Overview After completing this course, you should be able to: ? Describe the Server Automation (SA) core architecture and key components of SA ? Integrate unmanaged servers into the SA managed environment and discover server information through SA ? Use the Operation System (OS) Provisioning feature of SA to automate the installation of OS onto servers ? Provision virtual servers and manage their server lifecycle through SA ? Create static and dynamic device groups to manage multiple servers as groups ? Manage packages as part of the software management feature in SA ? Use a policy-based management methodology to provision software and manage software updates ? Describe and use Application Deployment Manager (ADM) to manage an application lifecycle using SA ? Use the Application Configuration feature of SA to manage the values in configuration files on managed servers ? Manage patches on various OS platforms using a patch policy or software policy ? Use the Audit and Remediation feature of SA to ensure servers and applications are compliant with defined best practices or corporate policies ? Use the Compliance feature of SA to discover out-of-compliance servers in the managed environment and ensure that they are in compliance with corporate policies ? Use the Global Shell and Global File System (OGFS) features to explore and manage servers in an SA environment ? Create, manage, and execute scripts I SA to manage servers or server groups This five-day course provides the necessary foundation to manage the data center servers and application environment using HP Server Automation (SA) 10. The course covers the key components of SA and their functionality. Course Overview and Introduction to HP Server Automation ? Discuss the IT organization?s preference for automation ? Discuss the main features of HP SA ? Discuss the benefits of using SA ? Describe the distributed architecture of SA Exploring the Architecture and Interfaces ? Define an SA core ? Describe the functionality of each key component of SA ? Describe SA users ? Use the SA client to explore a managed server environment ? Describe the SA core architecture and key components ? Learn how to use the SA interfaces to explore the server environment Agent Functionality and Server Integration ? Differentiate the agent types ? Describe the SA agent functionality ? Specify the requirements for installing an SA agent onto an unmanaged server ? Install an agent onto an unmanaged server using the SA client and manual installation ? Troubleshoot agent installation and communication failures ? Explore the server inventory using the Device Explorer of the SA client ? Describe the Agent Tools feature within SA ? Integrate existing, unmanaged servers into the SA managed environment ? Summarize what server information is collected by the agent ? Explain the server module objects ? Explain agent extensions Provisioning Operating Systems (OS) Using OS Build Plans (OSBPs) ? Describe the Operating System (OS) provisioning feature within SA ? Describe the process of provisioning an OS on a server ? Define and run an OS Build Plan (OSBP) Dynamic Host Configuration Protocol (DHCP) Less or Static IP Provisioning ? Configure and run the Managed Boot Client(s) (MBC) ? Provision Operating Systems (OS) without using Dynamic Host Configuration Protocol (DHCP) (or by using Static IP) Managing Virtualization ? Describe the supported virtualization management features in SA ? Describe the process of provisioning virtual servers for VMware Enterprise Server Xi (VMware ESXi) and Solaris 10 ? Identify the relationship between the hypervisor and its virtual servers ? Manage the lifecycle of VMware Virtual Machines (VMs) ? Manage the lifecycle of Solaris zones ? Integrate with VMware Virtual Center using Virtualization Service (VS) Exploring Device Groups ? Explain device groups and their characteristics ? Describe the different types of device groups supported in SA ? Create static and dynamic device groups using the SA client Exploring Device Groups with Search Results ? Describe the different types of search in the SA client ? Discuss the process to save and retrieve search results ? Create device groups from search results ? Develop sample reports using advanced search Managing Packages ? Describe how to manage packages in SA ? Discuss the supported package types ? Explain how to organize the software library ? Import and export packages into the software repository ? Install and uninstall packages ? Manage Red Hat Package Manager (RPM) packages Software Management ? Describe the use of policy-based software management in SA ? Describe how to manage software policies in SA ? List the software management setup tasks ? Install and uninstall software using software policies ? Manage software updates using software policies Working with Application Deployment Manager (ADM) ? Describe the Application Deployment Manager (ADM) and its functions ? Manage the ADM ? Set permissions for ADM ? Define an application, a target, and a component ? Deploy an application ? Manage an Application Deployment job ? Describe the rollback and undeploy process ? Import and export Application Deployment data from SA Application Configuration Management ? Describe how application configurations are managed in SA ? Describe application configuration components ? Control values using an application configuration inheritance model ? Push application configuration values to servers Managing Patches ? Describe the patch management feature in SA ? View patch information ? Describe UNIX patch management tasks ? Install patches using patch policies on the Windows platform ? Identify Microsoft patch administration tasks ? Manage patches on Red Hat LINUX Working with Audits, Snapshots, and Remediation ? Describe the audit and remediation feature in SA ? Create and run audits ? Configure file audit rules ? Set audit rule exceptions ? View audit results and remediate the differences ? Describe how to use Business Service Automation Essentials (BSAE) Network to run compliance audits Enforcing Compliance ? Define server compliance concepts ? Describe the compliance management feature in SA ? Scan and view the compliance status of servers ? Remediate non-compliant servers Exploring Servers Using the Global Shell and Global File System ? Describe the Global Shell and Opsware Global File System (OGFS) features within SA ? Describe how Global Shell and OGFS features can be used to manage servers within the SA environment ? Describe how to navigate and filter data in the OGFS using the Global Shell ? Use the Remote Shell (ROSH) command to login to a managed server and execute shell scripts on a managed server ? Use the SA remote terminal feature to access and manage servers in the managed environment Scripting with SA ? Describe the script management and execution feature in SA ? Create scripts using the SA client ? Execute ad hoc or saved scripts ? View and download script results ? Describe PowerShell integration with SA ? Explain the Extensible Discovery server module ? Introduce Automation Platform eXtensions (APX) scripting Exploring Reports in SA ? Explain SA reports ? List the reports available in SA ? Generate an SA report ? Explain Business Service Automation (BSA) Essentials basics as a reporting tool OS Provisioning with OS Sequences ? Describe the OS Provisioning feature within SA ? Describe the process of provisioning an OS on a server ? Define and run an OS Sequence

Become a Certified Digital Leader Designed for: IT managers and business managers Consultants Project managers Key take aways from this leadership course (non-technical): Be comfortable with digital trends and technologies Leverage digital for your business Organise digital and manage digital transformation successfully Module 1 - Digital concepts Digital building blocks Digital lifecycle Big Data strategy Module 2 - Digital strategy Strategy Golden triangle of digital transformation Opportunity analysis Module 3 - Digital marketing Advertising Funnels E-commerce Module 4 - Digital economy Competitive landscape Influencers Legislation Module 5 - Digital finance Digital investments Defining budgets for digital ROI of digital marketing Module 6 - Information risks Information security concepts AI risks Privacy and Intellectual Property Module 7 - Organising digital Organisational design Iterative approaches Module 8 - Leading the digital workforce Digital mindset Robots & human workforce Industry 4.0 Module 9 - Leading Digital Transformation programmes Product development & Innovation Programme management Organisational change Case studies 3 business cases

Step into the world of IT Asset Management (ITAM) and elevate your skills. From establishing ITAM programs to mastering asset security and compliance, this course offers a comprehensive guide to managing IT assets effectively. Enhance your ITAM expertise today!

Course Overview Naresh IT's DevOps Online Training is a comprehensive program that explores the multifaceted realm of DevOps. Covering essential components, from foundational concepts to advanced tools and methodologies, this course delves into industry-best practices. DevOps is an innovative approach that combines software development (Dev) and IT operations (Ops) to promote collaboration, enhance efficiency, and boost productivity throughout the software development lifecycle. Participants can learn through live classes, either with or without videos, tailored to their preferences. Description This course provides in-depth training on DevOps principles, practices, and tools used in modern software environments. Topics include version control, continuous integration, continuous delivery, automation, infrastructure as code, and monitoring. Hands-on experience with tools like Git, Jenkins, Docker, Kubernetes, Ansible, and Terraform ensures a practical understanding of DevOps concepts. Course Objectives Understand the fundamental concepts and principles of DevOps. Learn about various DevOps tools and their usage in development and deployment. Gain proficiency in implementing continuous integration and continuous delivery pipelines. Master automation techniques for infrastructure provisioning, configuration management, and deployment. Acquire skills in containerization and orchestration using Docker and Kubernetes. Develop the ability to monitor, measure, and improve DevOps processes and systems. Prepare for industry-recognized DevOps certifications to enhance career prospects. Prerequisites Basic understanding of the software development lifecycle (SDLC). Familiarity with version control systems (e.g., Git). Knowledge of CI/CD concepts. Understanding of containerization technologies (e.g., Docker). Awareness of cloud computing platforms (e.g., AWS, Azure). Experience with the command line interface (CLI). Who can learn this course This course is suitable for: Software developers System administrators Operations engineers Quality assurance professionals IT managers Anyone interested in adopting DevOps practices for improved software delivery and IT operations efficiency. No prior experience with DevOps is required, although a basic understanding of software development and IT concepts is beneficial.

Duration 3 Days 18 CPD hours This course is intended for This intermediate-level hands-on course is geared for experienced Administrators, Analysts, Architects, Data Scientists, Database Administrators and Implementers Overview This course is approximately 50% hands-on, combining 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: Administer ODI resources and setup security with ODI Apply ODI Topology concepts for data integration Describe ODI Model concepts Describe architecture of Oracle Data Integrator Design ODI Mappings, Procedures, Packages, and Load Plans to perform ELT data transformations Explore, audit data, and enforce data quality with ODI Implement Changed Data Capture with ODI Oracle Data Integrator is a comprehensive data integration platform that covers all data integration requirements from high-volume, high-performance batch loads, to event-driven integration processes and SOA-enabled data services. Oracle Data Integrator's Extract, Load, Transform (E-LT) architecture leverages disparate RDBMS engines to process and transform the data - the approach that optimizes performance, scalability and lowers overall solution costs. Throughout this course participants will explore how to centralize data across databases, performing integration, designing ODI Mappings, and setting up ODI security. In addition, Oracle Data Integrator can interact with the various tools of the Hadoop ecosystem, allowing administrators and data scientists to farm out map-reduce operations from established relational databases to Hadoop. They can also read back into the relational world the results of complex Big Data analysis for further processing. Working in a hands-on learning environment led by our Oracle Certified expert facilitator, students will learn how to: Administer ODI resources and setup security with ODI Apply ODI Topology concepts for data integration Describe ODI Model concepts Describe architecture of Oracle Data Integrator Design ODI Mappings, Procedures, Packages, and Load Plans to perform ELT data transformations Explore, audit data, and enforce data quality with ODI Implement Changed Data Capture with ODI Introduction to Integration and Administration Oracle Data Integrator: Introduction Oracle Data Integrator Repositories Administering ODI Repositories Create and connect to the Master Repository Export and import the Master Repository Create, connect, and set a password to the Work Repository ODI Topology Concepts ODI Topology: Overview Data Servers and Physical Schemas Defining Topology Agents in Topology Planning a Topology Describing the Physical and Logical Architecture Topology Navigator Creating Physical Architecture Creating Logical Architecture Setting Up a New ODI Project ODI Projects Using Folders Understanding Knowledge Modules Exporting and Importing Objects Using Markers Oracle Data Integrator Model Concepts Understanding the Relational Model Understanding Reverse-Engineering Creating Models Organizing ODI Models and Creating ODI Datastores Organizing Models Creating Datastores Constraints in ODI Creating Keys and References Creating Conditions Exploring Your Data Constructing Business Rules ODI Mapping Concepts ODI Mappings Expressions, Join, Filter, Lookup, Sets, and Others Behind the Rules Staging Area and Execution Location Understanding Knowledge Modules Mappings: Overview Designing Mappings Multiple Sources and Joins Filtering Data Overview of the Flow in ODI Mapping Selecting a Staging Area Configuring Expressions Execution Location Selecting a Knowledge Module Mappings: Monitoring and Troubleshooting Monitoring Mappings Working with Errors Designing Mappings: Advanced Topics 1 Working with Business Rules Using Variables Datasets and Sets Using Sequences Designing Mappings: Advanced Topics 2 Partitioning Configuring Reusable Mappings Using User Functions Substitution Methods Modifying Knowledge Modules Using ODI Procedures Procedures: Overview Creating a Blank Procedure Adding Commands Adding Options Running a Procedure Using ODI Packages Packages: Overview Executing a Package Review of Package Steps Model, Submodel, and Datastore Steps Variable Steps Controlling the Execution Path Step-by-Step Debugger Starting a Debug Session New Functions Menu Bar Icons Managing ODI Scenarios Scenarios Managing Scenarios Preparing for Deployment Using Load Plans What are load plans? Load plan editor Load plan step sequence Defining restart behavior Enforcing Data Quality with ODI Data Quality Business Rules for Data Quality Enforcing Data Quality with ODI Working with Changed Data Capture CDC with ODI CDC implementations with ODI CDC implementation techniques Journalizing Results of CDC Advanced ODI Administration Setting Up ODI Security Managing ODI Reports ODI Integration with Java