18690 Courses

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Data platform engineers Architects and operators who build and manage data analytics pipelines Overview In this course, you will learn to: Compare the features and benefits of data warehouses, data lakes, and modern data architectures Design and implement a batch data analytics solution Identify and apply appropriate techniques, including compression, to optimize data storage Select and deploy appropriate options to ingest, transform, and store data Choose the appropriate instance and node types, clusters, auto scaling, and network topology for a particular business use case Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights Secure data at rest and in transit Monitor analytics workloads to identify and remediate problems Apply cost management best practices In this course, you will learn to build batch data analytics solutions using Amazon EMR, an enterprise-grade Apache Spark and Apache Hadoop managed service. You will learn how Amazon EMR integrates with open-source projects such as Apache Hive, Hue, and HBase, and with AWS services such as AWS Glue and AWS Lake Formation. The course addresses data collection, ingestion, cataloging, storage, and processing components in the context of Spark and Hadoop. You will learn to use EMR Notebooks to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon EMR. Module A: Overview of Data Analytics and the Data Pipeline Data analytics use cases Using the data pipeline for analytics Module 1: Introduction to Amazon EMR Using Amazon EMR in analytics solutions Amazon EMR cluster architecture Interactive Demo 1: Launching an Amazon EMR cluster Cost management strategies Module 2: Data Analytics Pipeline Using Amazon EMR: Ingestion and Storage Storage optimization with Amazon EMR Data ingestion techniques Module 3: High-Performance Batch Data Analytics Using Apache Spark on Amazon EMR Apache Spark on Amazon EMR use cases Why Apache Spark on Amazon EMR Spark concepts Interactive Demo 2: Connect to an EMR cluster and perform Scala commands using the Spark shell Transformation, processing, and analytics Using notebooks with Amazon EMR Practice Lab 1: Low-latency data analytics using Apache Spark on Amazon EMR Module 4: Processing and Analyzing Batch Data with Amazon EMR and Apache Hive Using Amazon EMR with Hive to process batch data Transformation, processing, and analytics Practice Lab 2: Batch data processing using Amazon EMR with Hive Introduction to Apache HBase on Amazon EMR Module 5: Serverless Data Processing Serverless data processing, transformation, and analytics Using AWS Glue with Amazon EMR workloads Practice Lab 3: Orchestrate data processing in Spark using AWS Step Functions Module 6: Security and Monitoring of Amazon EMR Clusters Securing EMR clusters Interactive Demo 3: Client-side encryption with EMRFS Monitoring and troubleshooting Amazon EMR clusters Demo: Reviewing Apache Spark cluster history Module 7: Designing Batch Data Analytics Solutions Batch data analytics use cases Activity: Designing a batch data analytics workflow Module B: Developing Modern Data Architectures on AWS Modern data architectures

Duration 4.125 Days 24.75 CPD hours This course is intended for The job roles best suited to the material in this course are: Personnel responsible for maintaining and improving the quality of the products and services of the organization, Personnel responsible for meeting customer requirements, Consultants, advisors, professionals wishing to obtain in-depth knowledge of ISO 9001 requirements for a QMS, Professionals wishing to acquaint themselves with PECB's IMS2 Methodology for implementing a QMS, Individuals responsible for maintaining the conformity of QMS to ISO 9001 requirements, Members of QMS implementation and operation teams, Individuals aspiring to pursue a career in quality management Overview Explain the fundamental concepts and principles of a quality management system (QMS) based on ISO 9001 Interpret the requirements of ISO 9001 for a QMS from the perspective of an implementer Initiate and plan the implementation of a QMS based on ISO 9001, by utilizing PECB's IMS2 Methodology and other best practices Support an organization in operating, maintaining, and continually improving a QMS based on ISO 9001 Prepare an organization to undergo a third-party certification audit The ISO 9001 aims to help you develop the competence necessary to establish, implement, operate, maintain, and continually improve a QMS. This training course aims to equip you with in-depth knowledge on ISO 9001 requirements, as well as the best practices and approaches used for the implementation and subsequent maintenance of a QMS. Introduction to ISO 9001 and the initiation of a QMS implementation Training course objectives and structure Overview of ISO, management systems, and ISO 9000 family Introduction to quality and QMS based on ISO 9001 Initiation of the QMS implementation Leadership and commitment Quality policy Roles, responsibilities, and authorities Implementation plan of a QMS Context of the organization QMS scope Actions to address risks and opportunities Quality objectives Change management Resources Competence Implementation of a QMS Awareness and communication Management of documented information Requirements for products and services Design and development of products and services Outsourcing Production and service provision Monitoring, measurement, analysis, and evaluation QMS monitoring, continual improvement, and preparation for the certification audit Internal audit Management reviews Nonconformities and corrective actions Continual improvement Preparation for the certification audit Closing of the training course Additional course details: Nexus Humans ISO 9001 Lead Implementer 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 ISO 9001 Lead Implementer 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 Intermediate and beyond-level Tableau course geared for experienced Tableau users who wish to leverage Tableau's more advanced capabilities. Overview This skills-focused 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 expert facilitator, students will learn how to: Understand what data works best with Tableau Desktop and how to shape and clean it appropriately to get Learn how to maximize flexibility from Tableau Desktop. Learn how Tableau Prep folds into the analytic cycle, and when to prep data in Tableau Prep vs. Tableau Desktop. Understand the terminology used in Tableau Prep. Know how Tableau Prep approaches data sampling. Create and understand data prep flows that address common scenarios encountered in data preparation, as applied to common data use cases Know how to view data prepared in Tableau Prep using Tableau Desktop. Understand data exploration and validation in Tableau Prep and Tableau Desktop. Geared for experienced Tableau Users, Tableau Prep Building (Tableau Data Prep) for Experienced Users is a two-day hands-on course designed to provide you with the tools and knowledge of how to prepare and shape data in Tableau Prep. It?s best suited for people who have 3-6 months experience in Tableau Desktop and are somewhat familiar with writing calculations. Throughout the course, our instructors will take you from conceptual data preparation material to creating useful Tableau Prep flows that can be output to Tableau Desktop for analysisNOTE: The Tableau Training Series is independent-format training that can be tuned and adjusted to best meet your needs. Our materials are flexible, comprehensive, and are always instructed by a senior instructor with a deep understanding of Tableau and its most current features, benefits and functionality in a wide array of uses. This is not Official Tableau Training. Course Outline Introduction to the workspace Introduction to the workflow Data literacy concepts Connecting to and configuring data Exploring data Cleaning data Preferred data structures in Tableau Shaping data Combining data Opening a data sample and creating an output file Best practices for data preparation Complex flows Starting with a question Hands-on data preparation Additional course details: Nexus Humans Tableau Prep Building (Tableau Data Prep) for Experienced Users (TTDTAB010) 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 Tableau Prep Building (Tableau Data Prep) for Experienced Users (TTDTAB010) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 1 Days 6 CPD hours This course is intended for This course does not have any technical knowledge prerequisites for the learners, besides being proficient in using a computer and the Internet. IT and/or AI knowledge is a benefit but not a hard requirement. Given the rapid development of AI and the broad range of its applications in everyday life, it is crucial for anyone to attend this course to update their digital skills in an ever-changing world. It is expected that all learners have registered for a free account of OpenAI ChatGPT at https://chat.openai.com. Overview Discover how AI relates to other 4th industrial revolution technologies Learn about AI, ML, and associated cognitive services Overview of AI development frameworks, tools and services Evaluate the OpenAI ChatGPT4 / ChatGPT3.5 model features in more detail The core aim of this ?AI for beginners? course is to introduce its audience to Artificial Intelligence (AI) and Machine Learning (ML) technologies and allow them to understand the practical applications of AI in their everyday personal and professional life. Moreover, the course aims to provide a handful of demos and hands-on exercises to allow the learners to familiarize themselves with usage scenarios of OpenAI ChatGPT and other Generative AI (GenAI) models. The content of this course has been created primarily by using the OpenAI ChatGPT model. AI theoretical concepts. Introduction to AI, ML, and associated cognitive services (Computer vision, Natural language processing, Speech analysis, Decision making). How AI relates to other 4th industrial revolution technologies (cloud computing, edge computing, internet of things, blockchain, metaverse, robotics, quantum computing). AI model classification by utilizing mind maps and the distinctive role of Gen AI models. Introduction to the OpenAI ChatGPT model and alternative generative AI models. Familiarization with the basics of the ChatGPT interface (https://chat.openai.com). Talking about Responsible AI: Security, privacy, compliance, copyright, legal challenges, and ethical implications. AI practical applications Overview of AI development frameworks, tools and services. AI aggregators review. Hand-picked AI tool demos: a.Workplace productivity and the case of Microsoft 365 Copilot. b.The content creation industry. Create text, code, images, audio and video with Gen AI. c.Redefining the education sector with AI-powered learning. Evaluate the OpenAI ChatGPT4 / ChatGPT3.5 model features in more detail: a.Prompting and plugin demos. b.Code interpreter demos. Closing words. Discussion with an AI model on the future of AI. Additional course details: Nexus Humans AI for beginners 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 AI for beginners 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 Application developers who want to increase their understanding of Spring Security with hands-on experience and build secure Spring and Spring Boot applications. Overview By the end of the course, you should be able to meet the following objectives: Use Spring Security in Spring and Spring Boot applications Configure the Spring Security filter chain Protect HTTP endpoints with expression-based access control and the AuthorizationManager API Protect method execution Use different authentication mechanisms Handle passwords in an efficient way Integrate Spring Security with Junit 5 and MockMVC to test HTTP and method security Protect against common vulnerabilities and threats Understand what OAuth2 is Use and configure the Spring Authorization Server Implement a resource server and client This 2-day course offers hands-on experience with the major features of Spring Security, which includes configuration, authentication, authorization, password handling, testing, protecting against security threats, and the OAuth2 support to secure applications. On completion, participants will have a foundation for securing enterprise and microservices applications. Security Introduction Need for security Basic security concepts Common security vulnerabilities Spring Security Basics Introduction to Spring Security High-level architecture Overview of SecurityContext Spring Security with Spring Boot Customizing Authentication Building blocks for authentication Authentication mechanisms based on user name and password Other authentication mechanisms Authentication events Securing Web Applications Configuring authorization Using AccessDecisionsManager for authorization Using AuthorizationManager for authorization Bypassing security Method Security Method security architecture Declarative method security with annotations Security Testing Spring Security Testing Support Security mock annotations and meta-annotations Using MockMvc to test security Handling Passwords Password hashing Upgrading passwords (Optional) Protecting Against Common Vulnerabilities Hardening web applications with security headers Preventing cross-site request forgery Encrypting data in transit OAuth5 and OIDC Concepts Need for OAuth Overview of OAuth5 and OIDC OAuth5 grant types Types of tokens Spring Security OAuth5 support and OAuth5 login Spring Authorization Server Introduction to Authorization Server Spring Authorization Server endpoints Spring Authorization Server configuration Protecting and accessing resources with OAuth5 Resource server Using JWT tokens Using opaque tokens Configuring an OAuth5 client Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware Spring Security 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 Spring Security 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 Built for experienced IT Professionals familiar with Citrix Virtual Apps and Desktops 7 in an on-premises environment or Citrix Cloud looking to expand their Citrix Virtual Apps and Desktops skills to an advanced level. Potential students include administrators or engineers responsible for the Citrix Apps and Desktop 7 Site. Overview After completing this course you should be able to: Configure Workspace Environment Management to improve the end user environment and virtual resource consumption Implement App Layering skills, for example how to create and administer OS, platform, application, elastic and user layers Migrate to Workspace Environment Management Students will learn to build and combine App Layers to optimize management of your app and desktop images and to implement Workspace Environment Management to improve log-on times, centralize user settings management, and optimize the performance of machines. Students will leave this course with a good understanding of how to manage more complex solutions and features in their Citrix Virtual Apps and Desktop 7 site. Introduction to App Layering App Layering Introduction Architecture and How it Works The OS Layer Creating an OS Layer The Platform Layer Creating a Platform Layer The App Layers Creating App Layers Creating Elastic App and User Layers Elastic App Layering User Layers Deploying a Layered Image using Citrix Virtual Apps and Desktops Using Templates in App Layering Using Layered Images in a Citrix Virtual Apps and Desktops Site Exploring Layer Priority Layer Priority Maintaining an App Layering Environment Updating Layers Maintaining and Updating the App Layering Environment Common App Layering Considerations and Additional Resources Introduction to Workspace Environment Management (WEM) Workspace Environment Management (WEM) Introduction WEM Administration Using WEM to Centralize Environment Management Managing User Resources with WEM Managing Profiles with WEM Managing Endpoints with the WEM Transformer Feature Using WEM for Performance Optimizing Machine Performance with WEM Optimizing User Experience with WEM Using WEM to Secure Environments WEM Security Features Migrating and Upgrading WEM Migrating to WEM Upgrading a WEM Deployment WEM Multi-Location Considerations Additional course details: Nexus Humans CWS-314 Citrix App Layering and WEM 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 CWS-314 Citrix App Layering and WEM 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.

Duration 5 Days 30 CPD hours This course is intended for Ideal candidates include network professionals who are looking to build their foundational knowledge of the ClearPass product portfolio. Overview After you successfully complete this course, expect to be able to: Implement a ClearPass network access solution Design and apply effective services and enforcement in ClearPass Troubleshoot a ClearPass solution This course provides participants the foundational skills in Network Access Con-trol using the Aruba ClearPass product portfolio. This 5-day course includes both instructional modules and labs to teach participants about the major fea-tures in the ClearPass portfolio. Participants will learn how to setup ClearPass as an AAA server, and configure the Policy Manager, Guest, OnGuard and Onboard feature sets. In addition, this course covers integration with external Active Directory servers, Monitoring and Reporting, as well as deployment best practices. The student will gain insight into configuring authentication with ClearPass on both wired and wireless networks. Introduction to ClearPass BYOD High Level Overview Posture and Profiling Guest and Onboard AAA Policy Service Rules Authentication Authorization and Roles Enforcement Policy and Profiles External Devices Network Access Devices Messaging Services External Context Servers Endpoint Profiling Introduction to profiling Profiling collectors External collectors and profilers Roles and Enforcement Services Enforcement ClearPass roles Configuring Services Service selection rules Creating services Configuring Web Services Content Manager Skins Web page editor Guest Authentication Captive portal process Web logins Guest accounts Guest access with MAC authentication Guest Access Self-Registration Self-registration experience Configuring self-registration Self-registration process Wired Authentication Wired access Wired enforcement Profiling on wired ports Downloadable User Roles Requirements for DUR DUR enforcement profiles Dynamic Segmentation What is Dynamic Segmentation? How it works Configuring Dynamic Segmentation OnGuard Configuration Postures Posture policies OnGuard Agent Monitoring OnGuard OnGuard in Enforcement OnGuard workflow OnGuard enforcement Onboard Provisioning Configuring certificate authorities Portal setup Configuring services Onboard Administration Managing certificates Managing users and devices Certificate revocation and OCSP Administrative Operations Licenses Certificates Updates and upgrades Gathering logs ClearPass Cluster Cluster structure Policy Manager zones High availability Administrative Access Admin access to NADs Admin access to Policy Manager Guest operator logins Insight Reports Alerts Reports Administration Additional course details: Nexus Humans Aruba ClearPass Configuration 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 Aruba ClearPass Configuration course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for This course 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 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 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.