33685 Sup courses in Coventry delivered Online

Duration 2 Days 12 CPD hours This course is intended for The course is designed for individuals who want to gain in-depth knowledge and practice in the discipline of Business Analysis (Business Analysts, Requirements Engineers, Product manager, Product Owner, Chief Product Owner, Service Manager, Service Owner, Project manager, Consultants) Overview Students should be able to demonstrate knowledge and understanding and application of Business Analysis principles and techniques. Key areas are: The breath of the role of a Business Analyst The processes and techniques of strategy analysis Investigation of an organization's business systems Techniques used within stakeholder analysis and the need for analyzing perspectives Conceptual modelling and business activity models Business improvements through gap analysis The Business case within the business change lifecycle The Business Analyst role analyzes, understands and manages the requirements in a customer-supplier relationship and ensures that the right products are delivered.The course provides in-depth knowledge and practice in Business Analysis Course Introduction Let?s Get to Know Each Other Course Overview Course Learning Objectives Course Structure Course Agenda Introduction to Business Analysis Practice Exam Details Business Analysis Certification Scheme Rationale for Business Analysis The role of the BA throughout the stages of the Business change lifecycle The scope of the BA role within the context of the range of analysis activities Three areas of competencies Understanding the Strategic Context Techniques in practice: MOST Resource audit PESTLE Porter's Five Forces SWOT analysis CSF, KPI and Performance target Balanced Business Score Card Understanding the Current Situation Identification of stakeholder categories Identification of relevant investigation techniques The rationale for taking a holistic view Rich pictures, Mind Maps and Fishbone diagrams Stakeholder Analysis and Management Power/interest and level of interest Appropriate stakeholder management strategy Stakeholder perspectives and CATWOE technique Analysing and Modelling Business Activities Conceptual models of a business situation Five types of high level activity Planning activities Enabling activities Doing activities Monitoring and control activities Three types of business events The consensus business activity model Identifying Potential Solutions Different categories of business rules Gap analysis (through conceptual business activity model and as-is business situation) Components of a new business model Building the Business Case Rationale for the development of a business case Contents of a business case Identification of tangible/intangible costs and benefits, risks and impacts Rationale for the financial case and appraisal techniques Business case review in the business change lifecycle Additional course details: Nexus Humans Business Analysis - Practice 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 Business Analysis - Practice 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 Administrators or application owners who are responsible for deploying and managing Kubernetes clusters and workloads Overview By the end of the course, you should be able to meet the following objectives: Describe the VMware Tanzu Mission Control architecture Configure user and group access Create and manage Kubernetes clusters Control access Create image registry, network, quota, security, custom and mutation policies Connect your on-premises vSphere with Tanzu Supervisor to VMware Tanzu Mission Control Create, manage, and back up VMware Tanzu Kubernetes Grid™ clusters Create and manage Amazon Elastic Kubernetes Service clusters Perform cluster inspections Manage packages in your clusters Monitor and secure Kubernetes environments During this two-day course, you focus on using VMware Tanzu© Mission Control? to provision and manage Kubernetes clusters. The course covers how to apply image registry, network, security, quota, custom, and mutation policies to Kubernetes environments. It focuses on how to deploy, upgrade, back up, and monitor Kubernetes clusters on VMware vSphere© with VMware Tanzu©, and it also covers package management using the VMware Tanzu Mission Control catalog. Course Introduction Introduction and course logistics Course Objectives What Is VMware Tanzu Mission Control Describe VMware Tanzu Mission Control Describe vSphere with Tanzu Describe Tanzu Kubernetes Grid Describe VMware Tanzu© for Kubernetes Operations Explain how to request access to VMware Tanzu Mission Control Describe VMware Cloud? services Describe the VMware Cloud services catalog Explain how to access VMware Tanzu Mission Control Identify the components of VMware Tanzu Mission Control Explain the resource hierarchy of VMware Tanzu Mission Control Access, Users, and Groups Explain VMware Cloud services and enterprise federation Describe VMware Cloud services roles Explain multifactor authentication Describe the VMware Tanzu Mission Control UI List the components of the VMware Tanzu Mission Control UI Describe the VMware Tanzu CLI Describe the VMware Tanzu Mission Control API Cluster Lifecycle Management Outline the steps for registering a management cluster to VMware Tanzu Mission Control Discuss what a management cluster is Describe provisioners Explain the purpose of a cloud provider account Describe Amazon Elastic Kubernetes Service Describe Azure Kubernetes Service Workload Clusters Describe Tanzu Kubernetes Grid workload clusters Explain how to create a cluster Explain how to configure a cluster Describe Amazon Elastic Kubernetes Service workload clusters Describe Azure Kubernetes Service workload clusters Explain how to attach a Kubernetes cluster Explain how to verify the connections to the cluster Describe cluster health Policy Management Explain how access policies grant users access to different resources Describe the policy model Describe the available policy types Explain how image registry policies restrict from which image registries container images can be pulled Outline how network policies are applied to clusters Discuss how security policies control deployment of pods in a cluster Discuss how quota policies manage resource consumption in your clusters Discuss how custom policies implement specialized policies that govern your Kubernetes clusters Describe mutation policies Explain how Policy Insights reports VMware Tanzu Mission Control policy issues Control Catalog Describe the VMware Tanzu Mission Control catalog Explain how to install packages Describe cert-manager Explain Service Discovery and ExternalDNS Describe Multus CNI and Whereabouts Describe Fluent-Bit Explain Prometheus and Grafana Describe Harbor Describe Flux Describe Helm Describe Git repositories Tanzu Mission Control Day 2 Operations Describe data protection Describe cluster inspections Explain life cycle management Describe VMware Aria Operations? for Applications Discuss VMware Tanzu© Service Mesh? Advanced edition Describe VMware Aria Cost? powered by CloudHealth©

Duration 2 Days 12 CPD hours This course is intended for vRealize Operations on-premises customers including operators and system administrators. Overview By the end of the course, you should be able to meet the following objectives: List the vRealize Operations use cases Identify features and benefits of vRealize Operations Use interface features to assess and troubleshoot operational problems Create policies to meet the operational needs of your environment Recognize effective ways to optimize performance, capacity, and cost in data centers Troubleshoot and manage problems using workbench, alerts, and predefined dashboards Manage configurations Configure application monitoring using VMware vRealize Operations Cloud Appliance™ Monitor the health of the vRealize Operations cluster Perform cluster management tasks This two-day course is for users who are responsible for day-to-day management of VMware vRealize© Operations?. This course explains policies, capacity concepts, and workload optimization with real-world use cases. This course covers application monitoring, troubleshooting using workbench, alerts, predefined dashboards, and explains how to manage compliance and configurations. Course Introduction Introductions and course logistics Course objectives Introduction to vRealize Operations List the vRealize Operations use cases Access the vRealize Operations User Interface (UI) vRealize Operations Concepts Identify the product UI components Create and use tags to group objects Use a custom group to group objects vRealize Operations Policies Create policies for the various workloads Explain how policy inheritance works Capacity Optimization Define the capacity planning terms Explain the capacity planning models Assess the overall capacity of a data center and identify the optimization recommendations Costing in vRealize Operations Discuss about the cost drivers in vRealize Operations Assess the cost of your data center inventory Performance Optimization Introduction to performance optimization Define the business and operational intentions for a data center Automate the process of optimizing and balancing workloads in data centers Report the results of the optimization potential Troubleshooting and Managing Configuration Describe the troubleshooting workbench Recognize how to troubleshoot problems by monitoring alerts Use step-by-step workflows to troubleshoot the vSphere objects Assess your environment?s compliance to standards View the configurations of the vSphere objects in your environment Operating System and Application Monitoring Describe the native service discovery and application monitoring features Configure the application monitoring Monitor the operating systems and applications Managing a vRealize Operations Deployment Monitor the health of a vRealize Operations cluster Generate a support bundle View the vRealize Operations log files and audit reports Perform the vRealize Operations cluster management tasks Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware vRealize Operations for Operators [V8.6] training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the VMware vRealize Operations for Operators [V8.6] 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 class is ideal for experienced Salesforce Administrators, business analysts, and implementation specialists looking to gain a greater technical understanding of Salesforce CPQ Administration. It's also designed for experienced administrators, solution architects, implementation consultants, and developers looking to understand the full capabilities of Salesforce CPQ in order to formulate solutions for their business. This class is also a great foundation builder for anyone looking to earn the Salesforce CPQ Specialist credential. Overview When you complete this course, you'll be able to: Set Up Products, Bundles, and Product Rules Build Price Rules to Automatically Populate Field Values While Quoting or Configuring a Bundle Set Up Appropriate System Discounts and Pricing Methods Configure Dynamic Output Document Generation Manage Subscription Products (Including the Processes for Renewing and/or Amending Them) Formulate Sound Solutions to Common CPQ Business Requirements Make Significant Progress in Preparing for the Salesforce Certified CPQ Specialist Exam Discover how to configure an end-to-end Salesforce CPQ solution with out-of-the-box functionality. In this 5-day class, our CPQ experts will give you an in-depth look at Salesforce CPQ and its applications. You?ll learn how to set up and manage products, configure discount and pricing methods, create and manage subscriptions, and formulate solutions to meet common CPQ business requirements so you can successfully implement a Salesforce CPQ solution for your company. Course Introduction Review Course Objectives Set Learner Expectations Review Housekeeping Rules Explore Additional Course Resources Review Exam Quick Facts Introduction to CPQ Understand the Business Case for CPQ Watch an End-to-End Solution Demo Build a Quote Object Model Foundations Get Familiar with Products, Price Books, and Price Book Entries Review Product Fields Integral to Basic Salesforce CPQ Functionality Product Selection Modify Out-of-the-Box Button Behavior for Product Selection Review Guided Selling Bundle Configuration Define and Build Product Bundles Enforce Business Logic with Product Features Option Selection Guidelines Enforce Business Logic with Option Constraints Product Rules Define Product Rules Enforce Business Logic with Product Rules (Including Validation Rules, Alert Rules, Selection Rules, and Dynamic Bundles) Build Product Rules Using Supporting Objects (Including Error Conditions, Product Actions, Summary Variables, Configuration Rules, and Configuration Attributes) Pricing Methods Discover Pricing Waterfall Default Flows Review List Pricing, Cost Plus Markup, and Block Pricing Use Contracted Pricing for Negotiated Prices Subscription Pricing Configure Subscription and Proration Pricing Methods Understand How Subscription Pricing Methods Affect List and Regular Price Discounting Compare Discounting Strategies Build a Discount Schedule Price Rules Set Values for Quote and Quote Line Fields Declaratively Review CPQ Advanced Quote Calculator Calculation Events and Conditions Understand Price Action Sources (Including Static Values, Summary Variables, Formulas, and Lookup Tables) Create Lookup Queries to Outsource Evaluation to a Lookup Object Advanced Approvals Compare and Contrast the Advanced Approval Package Versus Native Approvals Define Approvers, Approval Chains, Approval Variables, and Approval Rules to Meet Specific Business Requirements Quote Templates Generate Dynamic Output Documents Create Conditional Template Content Localization and Multicurrency Make Accommodations for Localization Define Localization and How It Works in CPQ Orders Review Business Purposes of an Order Define the Data Model for Orders Define Data Requirements to Generate Orders Contracts, Renewals, and Amendments Generate New Contracts to Manage Active Subscriptions Related to an Account Review Amendment and Renewal Processes Review Renewal Pricing Methods Capstone Class Project: Troubleshoot Common Scenarios in Salesforce CPQ Design a Solution

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python-experienced attendees who wish to be equipped with the skills you need to use pandas to ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to: Understand how data analysts and scientists gather and analyze data Perform data analysis and data wrangling using Python Combine, group, and aggregate data from multiple sources Create data visualizations with pandas, matplotlib, and seaborn Apply machine learning (ML) algorithms to identify patterns and make predictions Use Python data science libraries to analyze real-world datasets Use pandas to solve common data representation and analysis problems Build Python scripts, modules, and packages for reusable analysis code Perform efficient data analysis and manipulation tasks using pandas Apply pandas to different real-world domains with the help of step-by-step demonstrations Get accustomed to using pandas as an effective data exploration tool. Data analysis has become a necessary skill in a variety of domains where knowing how to work with data and extract insights can generate significant value. Geared for data team members with incoming Python scripting experience, Hands-On Data Analysis with Pandas will show you how to analyze your data, get started with machine learning, and work effectively with Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. Using real-world datasets, you will learn how to use the powerful pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will be able to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. In the concluding lessons, you will explore some applications of anomaly detection, regression, clustering, and classification using scikit-learn to make predictions based on past data. Students will leave the course armed with the skills required to use pandas to ensure the veracity of their data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Introduction to Data Analysis Fundamentals of data analysis Statistical foundations Setting up a virtual environment Working with Pandas DataFrames Pandas data structures Bringing data into a pandas DataFrame Inspecting a DataFrame object Grabbing subsets of the data Adding and removing data Data Wrangling with Pandas What is data wrangling? Collecting temperature data Cleaning up the data Restructuring the data Handling duplicate, missing, or invalid data Aggregating Pandas DataFrames Database-style operations on DataFrames DataFrame operations Aggregations with pandas and numpy Time series Visualizing Data with Pandas and Matplotlib An introduction to matplotlib Plotting with pandas The pandas.plotting subpackage Plotting with Seaborn and Customization Techniques Utilizing seaborn for advanced plotting Formatting Customizing visualizations Financial Analysis - Bitcoin and the Stock Market Building a Python package Data extraction with pandas Exploratory data analysis Technical analysis of financial instruments Modeling performance Rule-Based Anomaly Detection Simulating login attempts Exploratory data analysis Rule-based anomaly detection Getting Started with Machine Learning in Python Learning the lingo Exploratory data analysis Preprocessing data Clustering Regression Classification Making Better Predictions - Optimizing Models Hyperparameter tuning with grid search Feature engineering Ensemble methods Inspecting classification prediction confidence Addressing class imbalance Regularization Machine Learning Anomaly Detection Exploring the data Unsupervised methods Supervised methods Online learning The Road Ahead Data resources Practicing working with data Python practice

Duration 2 Days 12 CPD hours This course is intended for This course is intended for network administrators, operators, and engineers responsible for managing the normal day-to-day operation and administration of a BIG-IP application delivery network. This course presents the prerequisite knowledge for many other of F5's BIG-IP instructor-led training courses. Overview Getting started with the BIG-IP system Traffic processing with BIG-IP Local Traffic Manager (LTM) Using the TMSH (TMOS Shell) command line interface Using NATs and SNATs Monitoring application health and managing object status Modifying traffic behavior with profiles, including SSL offload and re-encryption Modifying traffic behavior with persistence, including source address affinity and cookie persistence Troubleshooting the BIG-IP system, including logging (local, high-speed, and legacy remote logging), and using tcpdump User roles and administrative partitions vCMP concepts Customizing application delivery with iRules This course gives network administrators, network operators, and network engineers a functional understanding of the BIG-IP system as it is commonly deployed in an application delivery network. The course introduces students to the BIG-IP system, its configuration objects, how it processes traffic, and how typical administrative and operational activities are performed. The course includes lecture, hands-on labs, interactive demonstrations, and discussions. Setting Up the BIG-IP System Introducing the BIG-IP System Initially Setting Up the BIG-IP System Configuring the Management Interface Activating the Software License Provisioning Modules and Resources Importing a Device Certificate Specifying BIG-IP Platform Properties Configuring the Network Configuring Network Time Protocol (NTP) Servers Configuring Domain Name System (DNS) Settings Configuring High Availability Options Archiving the BIG-IP Configuration Leveraging F5 Support Resources and Tools Traffic Processing Building Blocks Identifying BIG-IP Traffic Processing Objects Configuring Virtual Servers and Pools Load Balancing Traffic Viewing Module Statistics and Logs Using the Traffic Management Shell (TMSH) Understanding the TMSH Hierarchical Structure Navigating the TMSH Hierarchy Managing BIG-IP Configuration State and Files BIG-IP System Configuration State Loading and Saving the System Configuration Shutting Down and Restarting the BIG-IP System Saving and Replicating Configuration Data (UCS and SCF) Using NATs and SNATs Address Translation on the BIG-IP System Mapping IP Addresses with NATs Solving Routing Issues with SNATs Configuring SNAT Auto Map on a Virtual Server Monitoring for and Mitigating Port Exhaustion Monitoring Application Health Introducing Monitors Types of Monitors Monitor Interval and Timeout Settings Configuring Monitors Assigning Monitors to Resources Managing Pool, Pool Member, and Node Status Using the Network Map Modifying Traffic Behavior with Profiles Introducing Profiles Understanding Profile Types and Dependencies Configuring and Assigning Profiles Introducing SSL Offload and SSL Re-Encryption Managing Object State Modifying Traffic Behavior with Persistence Understanding the Need for Persistence Introducing Source Address Affinity Persistence Managing Object State Administering the BIG-IP System Configuring Logging Legacy Remote Logging Introducing High Speed Logging (HSL) High-Speed Logging Filters HSL Configuration Objects Configuring High Speed Logging Using TCPDUMP on the BIG-IP System Leveraging the BIG-IP iHealth System Viewing BIG-IP System Statistics Defining User Roles and Administrative Partitions Leveraging vCMP Configuring High Availability Introducing Device Service Clustering (DSC) Preparing to Deploy a DSC Configuration Configuring DSC Communication Settings Establishing Device Trust Establishing a Sync-Failover Device Group Synchronizing Configuration Data Exploring Traffic Group Behavior Understanding Failover Managers and Triggers Achieving Stateful Failover with Mirroring

Duration 2 Days 12 CPD hours This course is intended for Anyone who works with IBM SPSS Statistics and wants to learn advanced statistical procedures to be able to better answer research questions. Overview Introduction to advanced statistical analysis Group variables: Factor Analysis and Principal Components Analysis Group similar cases: Cluster Analysis Predict categorical targets with Nearest Neighbor Analysis Predict categorical targets with Discriminant Analysis Predict categorical targets with Logistic Regression Predict categorical targets with Decision Trees Introduction to Survival Analysis Introduction to Generalized Linear Models Introduction to Linear Mixed Models This course provides an application-oriented introduction to advanced statistical methods available in IBM SPSS Statistics. Students will review a variety of advanced statistical techniques and discuss situations in which each technique would be used, the assumptions made by each method, how to set up the analysis, and how to interpret the results. This includes a broad range of techniques for predicting variables, as well as methods to cluster variables and cases. Introduction to advanced statistical analysis Taxonomy of models Overview of supervised models Overview of models to create natural groupings Group variables: Factor Analysis and Principal Components Analysis Factor Analysis basics Principal Components basics Assumptions of Factor Analysis Key issues in Factor Analysis Improve the interpretability Use Factor and component scores Group similar cases: Cluster Analysis Cluster Analysis basics Key issues in Cluster Analysis K-Means Cluster Analysis Assumptions of K-Means Cluster Analysis TwoStep Cluster Analysis Assumptions of TwoStep Cluster Analysis Predict categorical targets with Nearest Neighbor Analysis Nearest Neighbor Analysis basics Key issues in Nearest Neighbor Analysis Assess model fit Predict categorical targets with Discriminant Analysis Discriminant Analysis basics The Discriminant Analysis model Core concepts of Discriminant Analysis Classification of cases Assumptions of Discriminant Analysis Validate the solution Predict categorical targets with Logistic Regression Binary Logistic Regression basics The Binary Logistic Regression model Multinomial Logistic Regression basics Assumptions of Logistic Regression procedures Testing hypotheses Predict categorical targets with Decision Trees Decision Trees basics Validate the solution Explore CHAID Explore CRT Comparing Decision Trees methods Introduction to Survival Analysis Survival Analysis basics Kaplan-Meier Analysis Assumptions of Kaplan-Meier Analysis Cox Regression Assumptions of Cox Regression Introduction to Generalized Linear Models Generalized Linear Models basics Available distributions Available link functions Introduction to Linear Mixed Models Linear Mixed Models basics Hierachical Linear Models Modeling strategy Assumptions of Linear Mixed Models Additional course details: Nexus Humans 0G09A IBM Advanced Statistical Analysis Using IBM SPSS Statistics (v25) 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 0G09A IBM Advanced Statistical Analysis Using IBM SPSS Statistics (v25) 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 2 Days 12 CPD hours This course is intended for Data Modelers Participants will learn the full scope of the metadata modeling process, from initial project creation, to publishing a dynamic cube, and enabling end users to easily author reports and analyze data. Introduction to IBM Cognos Dynamic Cubes Define and differentiate Dynamic Cubes Dynamic Cubes characteristics Examine Dynamic Cube requirements Examine Dynamic Cube components Examine high level architecture IBM Cognos Dynamic Query Review Dimensional Data Structures Dynamic Cubes caching Create & Design a Dynamic Cube Explore the IBM Cognos Cube Designer Review the cube development process Examine the Automatic Cube Generation Manual development overview Create dimensions Model the cube Best practice for effective modeling Deploy & Configure a Dynamic Cube Deploy a cube Explore the Estimate Hardware Requirements Identify cube management tasks Examine Query Service administration Explore Dynamic Cube properties Schedule cube actions Use the DCAdmin comment line tool Advanced Dynamic Cube Modelling Examine advanced modeling concepts Explore modeling caveats Calculated measures and members Model Relative Time Explore the Current Period property Define period aggregation rules for measures Advanced Features of Cube Designer Examine multilingual support Examine ragged hierarchies and padding members Define Parent-Child Dimensions Refresh Metadata Import Framework Manager packages Filter measures and dimensions Optimize Performance with Aggregates Identify aggregates and aggregate tables In-memory aggregates Use Aggregate Advisor to identify aggregates User defined in-memory aggregates Optimize In-Memory Aggregates automatically Aggregate Advisor recommendations Monitor Dynamic Cube performance Model aggregates (automatically vs manually) Use Slicers to define aggregation partitions Define Security Overview of Dynamic Cube security Identify security filters The Security process - Three steps Examine security scope Identify scope rules Identify roles Capabilities and access permissions Cube security deep dive Model a Virtual Cube Explore virtual cubes Create the virtual cube Explore virtual cube objects Examine virtual measures and calculated members Currency conversion using virtual cubes Security on virtual cubes Introduction to IBM Cognos Analytics Define IBM Cognos Analytics Redefined Business Intelligence Self-service Navigate to content in IBM Cognos Analytics Interact with the user interface Model data with IBM Cognos Analytics IBM Cognos Analytics components Create reports Perform self-service with analysis and Dashboards IBM Cognos Analytics architecture (high level) IBM Cognos Analytics security Package / data source relationship Create Data modules Upload files Additional course details: Nexus Humans B6063 IBM Cognos Cube Designer - Design Dynamic Cubes (v11.0) 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 B6063 IBM Cognos Cube Designer - Design Dynamic Cubes (v11.0) 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 The primary audience for this course are as follows: Technical professionals, including system engineers, technical support personnel, channel partners, and resellers, who need to know how to deploy Cisco ASR 9000 Series routers in their network environment Overview Upon completing this course, the learner will be able to meet these overall objectives: Major features and benefits of a Cisco ASR 9000 Series router Major features and benefits of the Cisco IOS XR Software operating system Data flow through the Cisco ASR 9000 Series router Configure the Cisco ASR 9000, back out of configuration changes, and restore older versions of the configuration Install the Cisco IOS XR operating system, package information envelopes (PIEs), and software maintenance updates (SMUs) Enable multicast routing on a Cisco ASR 9000 Series router Configure Multiprotocol Label Switch-Traffic Engineering (MPLS-TE) on a Cisco ASR 9000 Series router Configure Layer 3 VPN services Configure Ethernet link bundles Configure local E-Line L2VPN Configure Ethernet over MPLS E-Line L2VPN Configure EoMPLS with pseudowire backup Configure local E-LAN L2VPN Configure link-based Ethernet operations, administration, and maintenance (E-OAM) Configure virtual private LAN service (VPLS) L2VPN Configure VPLS with Border Gateway Protocol (BGP) autodiscover Configure service-based connectivity fault management (CFM) Multiple Spanning Tree-Access Gateway (MST-AG) Configure Layer 2 multicast features Basic QoS implementation How to configure and verify network virtualization (nV) on the ASR 9000 series In this 4-day course, Cisco Aggregation Services Router 9000 Series Essentials (ASR9KE), you will learn about the features and functions of the Cisco ASR 9000 Series platforms. Through a combination of lecture and hands-on labs, you will gain an understanding of all major aspects of the platform, including hardware; software; Layer 2 and Layer 3 services; Layer 2 and Layer 3 multicast; operations, administration, and management (OAM); quality of service (QoS) features; and network virtualization. Course Outline Introduction to the Cisco ASR 9000 Aggregation Series Cisco ASR 9000 Hardware Cisco IOS XR Software Overview Cisco IOS XR Software Basics Cisco IOS XR Software Installation Cisco IOS XR Software Operations Cisco IOS XR Routing Protocols Layer 3 Multicast Cisco IOS XR MPLS Cisco IOS XR Layer 3 VPN Cisco ASR 9000 Layer 2 Architecture Cisco ASR 9000 Point-to-Point Layer 2 Services Cisco ASR 9000 Multipoint Layer 2 Services Cisco ASR 9000 Operations, Administration, and Maintenance Cisco ASR 9000 Layer 2 Multicast Cisco ASR 9000 QoS Cisco ASR 9000 Network Virtualization Additional course details: Nexus Humans Cisco ASR 9000 Aggregation Services Router Series Essentials v6.1 (ASR9KE) 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 ASR 9000 Aggregation Services Router Series Essentials v6.1 (ASR9KE) 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 2 Days 12 CPD hours This course is intended for This is an advanced course for DBAs and technical individuals who plan, implement, and maintain Db2 11.1 databases Overview This course is designed to teach you how to: Perform advanced monitoring using the Db2 administrative views and routines in SQL queries. Manage the disk space assigned in Database Managed Storage (DMS) and Automatic Storage table spaces, including the activities of the rebalancer. Use SQL queries and Db2 commands to check the high water mark on table spaces and to monitor the rebalance operation. Utilize the REBUILD option of RESTORE, which can build a database copy with a subset of the tablespaces using database or tablespace backup images. Plan and execute the TRANSPORT option of RESTORE to copy schemas of objects between two Db2 databases. Create incremental database or tablespace level backups to reduce backup processing and backup image storage requirements. Implement automatic storage management for table spaces and storage groups or enable automatic resize options for DMS managed table spaces to reduce administration requirements and complexity. Describe the various types of database memory including buffer pools, sort memory, lock memory and utility processing memory. Adjust database or Db2 instance configuration options to improve application performance or processing efficiency. Implement Db2 Self Tuning Memory management for specific database memory areas. This course is designed to teach you how to Perform advanced monitoring using the Db2 administrative views and routines in SQL queries. Manage the disk space assigned in Database Managed Storage (DMS) and Automatic Storage table spaces, including the activities of the rebalancer. Use SQL queries and Db2 commands to check the high water mark on table spaces and to monitor the rebalance operation. Utilize the REBUILD option of RESTORE, which can build a database copy with a subset of the tablespaces using database or tablespace backup images. Plan and execute the TRANSPORT option of RESTORE to copy schemas of objects between two Db2 databases. Create incremental database or tablespace level backups to reduce backup processing and backup image storage requirements. Implement automatic storage management for table spaces and storage groups or enable automatic resize options for DMS managed table spaces to reduce administration requirements and complexity. Describe the various types of database memory including buffer pools, sort memory, lock memory and utility processing memory. Adjust database or Db2 instance configuration options to improve application performance or processing efficiency. Implement Db2 Self Tuning Memory management for specific database memory areas. Course Outline Advanced Monitoring Db2 Table Space Management Db2 Database Memory Management Database rebuild supportDb2 database and tablespace relocation Db2 Incremental Backup Additional course details: Nexus Humans CL464G IBM Db2 11.1 Advanced Database Administration training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the CL464G IBM Db2 11.1 Advanced Database Administration course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.