31962 Courses

Duration 1 Days 6 CPD hours This course is intended for This course is intended for business users and knowledge workers in a variety of roles and fields who have competence in a desktop-based installation of the Microsoft Office 2010, 2013, or 2016 edition of the Microsoft Office productivity suite, and who are now extending Microsoft Office to a collaborative cloud-based Office 365 environment. Overview In this course, you will build upon your knowledge of the Microsoft Office desktop application suite to work productively in the cloud-based Microsoft Office 365 environment. You will: Sign in, navigate, and identify components of the Office 365 environment. Create, edit, and share documents with team members using the Office Online apps, SharePoint, OneDrive for Business, and Delve. Collaborate and work with colleagues using the Yammer and Planner apps. Use email and manage contacts with Outlook on the web. Collaborate using Teams. Configure Teams. This course introduces working with shared documents in the familiar Office 365 online apps?Word, PowerPoint©, and Excel©?as an alternative to installing the Microsoft© Office desktop applications. This course also introduces several productivity apps including Yammer?, Planner, and Delve© that can be used in combination by teams for communication and collaboration. Getting Started with Office 365 Topic A: Sign In to Office 365 Topic B: Navigate the Office 365 Environment Collaborating with Shared Files Topic A: Work with Shared Documents in SharePoint Topic B: Edit Documents in Office Online Topic C: Collaborate on the SharePoint Site Topic D: Work with OneDrive for Business Topic E: Find Shared Resources Using Productivity Apps Topic A: Work with Productivity Apps in Combination Topic B: Broadcast Messages with Yammer Using Outlook on the Web Topic A: Send and Receive Email Topic B: Manage Contacts Topic C: Schedule Appointments Topic D: Personalize Outlook on the Web Collaborating with Teams Topic A: Overview of Microsoft Teams Topic B: Converse and Share in Teams Topic C: Call and Meet in Teams Topic D: Collaborate with Microsoft 365 Apps and Teams Configuring Teams Topic A: Configure Teams Topic B: Configure Channels Topic C: Configure Tabs Additional course details: Nexus Humans Microsoft 365 Office for the Web (with Teams) 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 Microsoft 365 Office for the Web (with Teams) 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 Data center architects Cloud infrastructure architects Network engineers System administrators Storage administrators Engineers requiring advanced configuration skills Cisco integrators and partners Overview After taking this course, you should understand: Data center challenges and cloud solutions Cisco UCS Director architecture Cisco UCS Director setup and configuration Cisco ACI Multitenancy in FlexPod Cisco ACI infrastructure Resource groups and service offerings Tenant onboarding Self-service provisioning Application containers The Designing and Deploying Cisco UCS Director with ACI (UCSDACI) v6.6 course shows you how to use Cisco UCS© Director software to manage physical and virtual infrastructure elements, including Cisco Application Centric Infrastructure (Cisco ACI?). You will learn to use orchestration and automation functions of Cisco UCS Director to effectively manage infrastructure and automate IT processes. The course offers hands-on experience installing and configuring Cisco UCS Director software. You will also learn about features such as bare-metal provisioning; compute, network, and storage management; orchestration, including Application Policy Infrastructure Controller (APIC); Cisco UCS Director custom tasks, and more. Introducing Cisco UCS Director Understanding Data Center Challenges Understanding the Benefits of Cisco UCS Director Understanding Cisco UCS Director Components Explaining Cisco UCS Director Architecture Explaining Bare-Metal Agent Introducing Cisco Application Centric Infrastructure Understanding Cisco ACI Overview Understanding Cisco ACI Terms and Constructs Understanding Cisco UCS Director Infrastructure Management Understanding Cisco UCS Director Deployment Introducing Role-Based Access Control Explaining User Groups/Roles/Users Introducing Orchestration Understanding Orchestration Introducing Cisco UCS Director ACI Explaining Cisco UCS Director with ACI So Understanding Multitenancy with Cisco UCS Director ACI Explaining Multitenancy with Cisco UCS Director ACI Understanding Resource Groups and Service Offerings Introducing Advanced Tenant Onboarding Onboarding a Tenant Tagging Resources Introducing Application Containers Understanding Application Profiles Understanding Service Container Catalog Understanding Deployment Through Self-Service Portal Understanding Self-Service Provisioning Portal Understanding Service Request Understanding Virtual Data Center Understanding Policies Understanding vDC and Groups Use Case Additional course details: Nexus Humans CiscoDesigning and Deploying Cisco UCS Director with ACI (UCSDACI) v6.6 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 CiscoDesigning and Deploying Cisco UCS Director with ACI (UCSDACI) v6.6 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 1 Days 6 CPD hours This course is intended for This class is intended for the following: Data analysts, Data scientists, Business analysts getting started with Google Cloud Platform. Individuals responsible for designing pipelines and architectures for data processing, creating and maintaining machine learning and statistical models, querying datasets, visualizing query results and creating reports. Executives and IT decision makers evaluating Google Cloud Platform for use by data scientists. Overview This course teaches students the following skills:Identify the purpose and value of the key Big Data and Machine Learning products in the Google Cloud Platform.Use Cloud SQL and Cloud Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform.Employ BigQuery and Cloud Datalab to carry out interactive data analysis.Train and use a neural network using TensorFlow.Employ ML APIs.Choose between different data processing products on the Google Cloud Platform. This course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities. Introducing Google Cloud Platform Google Platform Fundamentals Overview. Google Cloud Platform Big Data Products. Compute and Storage Fundamentals CPUs on demand (Compute Engine). A global filesystem (Cloud Storage). CloudShell. Lab: Set up a Ingest-Transform-Publish data processing pipeline. Data Analytics on the Cloud Stepping-stones to the cloud. Cloud SQL: your SQL database on the cloud. Lab: Importing data into CloudSQL and running queries. Spark on Dataproc. Lab: Machine Learning Recommendations with Spark on Dataproc. Scaling Data Analysis Fast random access. Datalab. BigQuery. Lab: Build machine learning dataset. Machine Learning Machine Learning with TensorFlow. Lab: Carry out ML with TensorFlow Pre-built models for common needs. Lab: Employ ML APIs. Data Processing Architectures Message-oriented architectures with Pub/Sub. Creating pipelines with Dataflow. Reference architecture for real-time and batch data processing. Summary Why GCP? Where to go from here Additional Resources Additional course details: Nexus Humans Google Cloud Platform Big Data and Machine Learning Fundamentals 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 Google Cloud Platform Big Data and Machine Learning Fundamentals 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 is intended for individuals who want to recognize and manage their emotions, behaviors and impulses and apply these skills to the world around them. Overview Upon successful completion of the Developing Emotional Intelligence course, participants will have the tools to gain control over emotions, navigate challenging situations, and communicate empathetically. In this course, students will develop the skill of emotional intelligence to help maximize personal and professional success. Module One: Getting Started Getting Started Module Two: Introduction to Emotional Intelligence Defining Emotional Intelligence The Importance of EI Who Needs It? What Are Emotions? EQ vs. IQ Practical Illustration Module Three: The Components of EI Self-Management Self-Awareness Social Skills Internal Motivation Empathy Practical Illustration Module Four: Tools to Gain Control Journaling Meditation and Mindfulness Identifying Emotional Triggers Breathing Techniques Taking a Break Practical Illustration Module Five: Verbal Communication Skills Active Listening Asking Questions Consider Your Audience Choosing Your Words Be Authentic Practical Illustration Module Six: Nonverbal Communication Skills Body Language Tone Matters Facial Expressions Eye Contact Distance and Personal Space Practical Illustration Module Seven: Managing Relationships With Others Building Rapport Respond, Don?t React Show Gratitude Finding Common Ground Setting Boundaries Practical Illustration Module Eight: Overcoming Obstacles Recognizing and Admitting Failure Disagreeing Constructively Staying Cool Under Pressure Be Open to Perspectives The Power of Forgiveness Practical Illustration Module Nine: Application to Business Practices Working as a Team Setting Business Goals Interviewing for Successful Hires Giving and Receiving Feedback Customer Experience and Rapport Practical Illustration Module Ten: Benefits of Being Emotionally Aware Strong Interpersonal Relationships Able to Manage Change Reduced Stress and Anxiety Improved Decision Making Boosts Employee Morale Practical Illustration Module Eleven: Making an Impact Creating a Powerful First Impression Maintaining Your Composure Inspiring Leadership Gaining Self-Confidence Patience and Practice Practical Illustration Module Twelve: Wrapping Up Words from the Wise Additional course details: Nexus Humans Developing Emotional Intelligence 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 Developing Emotional Intelligence 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 intended for: Database architects Database administrators Database developers Data analysts and scientists Overview This course is designed to teach you how to: Discuss the core concepts of data warehousing, and the intersection between data warehousing and big data solutions Launch an Amazon Redshift cluster and use the components, features, and functionality to implement a data warehouse in the cloud Use other AWS data and analytic services, such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis, and Amazon S3, to contribute to the data warehousing solution Architect the data warehouse Identify performance issues, optimize queries, and tune the database for better performance Use Amazon Redshift Spectrum to analyze data directly from an Amazon S3 bucket Use Amazon QuickSight to perform data analysis and visualization tasks against the data warehouse Data Warehousing on AWS introduces you to concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift, the petabyte-scale data warehouse in AWS. This course demonstrates how to collect, store, and prepare data for the data warehouse by using other AWS services such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis, and Amazon S3. Additionally, this course demonstrates how to use Amazon QuickSight to perform analysis on your data Module 1: Introduction to Data Warehousing Relational databases Data warehousing concepts The intersection of data warehousing and big data Overview of data management in AWS Hands-on lab 1: Introduction to Amazon Redshift Module 2: Introduction to Amazon Redshift Conceptual overview Real-world use cases Hands-on lab 2: Launching an Amazon Redshift cluster Module 3: Launching clusters Building the cluster Connecting to the cluster Controlling access Database security Load data Hands-on lab 3: Optimizing database schemas Module 4: Designing the database schema Schemas and data types Columnar compression Data distribution styles Data sorting methods Module 5: Identifying data sources Data sources overview Amazon S3 Amazon DynamoDB Amazon EMR Amazon Kinesis Data Firehose AWS Lambda Database Loader for Amazon Redshift Hands-on lab 4: Loading real-time data into an Amazon Redshift database Module 6: Loading data Preparing Data Loading data using COPY Data Warehousing on AWS AWS Classroom Training Concurrent write operations Troubleshooting load issues Hands-on lab 5: Loading data with the COPY command Module 7: Writing queries and tuning for performance Amazon Redshift SQL User-Defined Functions (UDFs) Factors that affect query performance The EXPLAIN command and query plans Workload Management (WLM) Hands-on lab 6: Configuring workload management Module 8: Amazon Redshift Spectrum Amazon Redshift Spectrum Configuring data for Amazon Redshift Spectrum Amazon Redshift Spectrum Queries Hands-on lab 7: Using Amazon Redshift Spectrum Module 9: Maintaining clusters Audit logging Performance monitoring Events and notifications Lab 8: Auditing and monitoring clusters Resizing clusters Backing up and restoring clusters Resource tagging and limits and constraints Hands-on lab 9: Backing up, restoring and resizing clusters Module 10: Analyzing and visualizing data Power of visualizations Building dashboards Amazon QuickSight editions and feature

Duration 4 Days 24 CPD hours This course is intended for This course benefits individuals responsible for configuring and monitoring EX Series switches running Junos ELS. Overview After successfully completing this course, you should be able to: List the benefits of implementing switched LANs. Describe transparent bridging concepts and operations. Describe terms and design considerations for switched LANs. List enterprise platforms that support Layer 2 switching. Configure interfaces for Layer 2 switching operations. Display and interpret the Ethernet switching table. Explain the concept of a VLAN. Describe access and trunk port modes. Configure and monitor VLANs. Describe voice VLAN and native VLAN concepts. Explain inter-VLAN routing operations. Configure and monitor inter-VLAN routing. Explain when a spanning tree is required. Describe STP and Rapid Spanning Tree Protocol (RSTP) operations. List some advantages of using RSTP over STP. Configure and monitor RSTP. Describe the bridge protocol data unit (BPDU), loop, and root protection features. Configure and monitor the BPDU, loop, and root protection features. List and describe various port security features. Configure and monitor port security features. Describe the storm control feature. Configure and monitor storm control. Describe firewall filter support for EX Series Ethernet Switches. Implement and monitor the effects of a firewall filter. List and describe some features that promote high availability. Configure and monitor high availability features. Describe the basic concepts and operational details of a virtual chassis. Implement a virtual chassis with multiple EX4300 switches. Explain the concepts of Ethernet Ring Protection Switching (ERPS). Configure and monitor ERPS. Explain the concepts of Multiple Spanning Tree Protocol (MSTP). Configure and monitor MSTP. This 4-day program includes an overview of protocol independent routing features, load balancing and filter-based forwarding, OSPF, BGP, IP tunneling, switching concepts and operations, virtual LANs (VLANs), the Spanning Tree Protocol (STP), and more. Chapter 1: Course Introduction Course Introduction Chapter 2: Layer 2 Switching Ethernet Bridging Basics Terminology and Design Considerations Overview of Enterprise Switching Platforms Enabling and Monitoring Layer 2 Switching Operations Lab 1: Implementing Layer 2 Switching Chapter 3: Virtual Networks Overview of VLANs Configuring and Monitoring VLANs Voice VLAN Native VLAN Routed VLAN Interfaces Lab 2: Implementing Virtual Networks Chapter 4: Routing Instances Routing Instances Overview Configuring and Monitoring Virtual Switches Chapter 5: Spanning Tree Spanning Tree Protocol Rapid Spanning Tree Protocol Configuring and Monitoring STP and RSTP Protection Features: BPDU Protection Protection Features: Loop Protection Protection Features: Root Protection Lab 3: Implementing Spanning Tree Chapter 6: Port Security MAC Limiting Persistent MAC Learning DHCP Snooping Dynamic ARP Inspection (DAI) IP Source Guard Lab 4: Implementing Port Security Chapter 7: Device Security and Firewall Filters Storm Control Firewall Filters Lab 5: Implementing Storm Control and Firewall Filters Chapter 8: Virtual Chassis Overview of Virtual Chassis Configuring and Monitoring a Virtual Chassis Lab 6: Implementing a Virtual Chassis System Chapter 9: High Availability Features Overview of High Availability Networks Link Aggregation Groups Redundant Trunk Groups Graceful Routing Engine Switchover (GRES) Nonstop Active Routing (NSR) Nonstop Bridging (NSB) Lab 7: Implementing High Availability Features

Duration 2 Days 12 CPD hours This course is intended for This course is intended for Data Warehouse Administrator, Database Administrator, Database Designer, Support Engineer, and Technical Administrator. Overview Upon successful completion of this course, students will be able to Install Oracle Grid Infrastructure for a Standalone Server, Configure ASMLIB and create ASM disk groups, Apply the latest patch set updates to the Grid Infrastructure software, Install Oracle Database software, Use Oracle Restart to manage components, Prepare the Linux operating system for Oracle software installation, Upgrade Oracle Database, Create a container database, Install Oracle Grid Infrastructure for an Independent Server, Create an Oracle Database using DBCA, and Install the latest patch set updates to the Oracle database software. This Oracle Database: Deploy, Patch and Upgrade Workshop gives you detailed information to help you install Oracle Database software. In this course, you will be introduced to Oracle Database Cloud Service. Oracle Database Overview Oracle Database Introduction Oracle Database Architecture Overview Oracle Database Instance Configurations Oracle Database Memory Structures Process Structures Database Storage Architecture Logical and Physical Database Structures Container and Pluggable Database Overview Installing Oracle Grid Infrastructure for a Standalone Server Overview of Oracle Grid Infrastructure for a Standalone Server System Requirements for Oracle Grid Infrastructure Configuring Storage for Oracle Automatic Storage Management (ASM) Installing Oracle Grid Infrastructure for a Standalone Server Upgrading Oracle Grid Infrastructure for a Standalone Server Installing Oracle Database Software Planning Your Installation System Requirements for Oracle Database Preparing the Operating System Using 4 KB Sector Disks Setting Environment Variables Checking the System Requirements Using the Oracle Universal Installer (OUI) Performing a Silent Mode Installation Creating an Oracle Database by Using DBCA Planning the Database Storage Structure Choosing non-CDB or CDB Types of Databases (based on workload) Choosing the Appropriate Character Set Understanding How Character Sets are Used Setting the NLS_LANG Initialization Parameter Using the Database Configuration Assistant (DBCA) Using Oracle Restart Oracle Restart Overview Oracle Restart Process startup Controlling Oracle Restart Choosing the Correct SRVCTL Utility Oracle Restart Configuration Using the SRVCTL Utility Obtaining Help for the SRVCTL Utility Starting Components by Using the SRVCTL Utility Introduction to Upgrading to Oracle Database Upgrade Methods Data Migration Methods Supported Releases for Direct Upgrade Overview of Upgrade Process Performing a Rolling Upgrade Upgrading a CBD Preparing to Upgrade to Oracle Database Developing a Test Plan Performance Testing Requirements for Databases Using Oracle Label Security or Oracle Database Vault Requirement for Databases Using Oracle Warehouse Builder Using the Pre-Upgrade Information Tool Backing Up the Database Installing the Oracle Database Software Preparing the New Oracle Home Upgrading to Oracle Database Upgrading by Using the Database Upgrade Assistant (DBUA) Manually Upgrading to Oracle Database Migrating a non-CDB to a CDB Performing Post-Upgrade Tasks Migrating to Unified Auditing Performing Post-Upgrade Tasks Following a Manual Upgrade Migrating Data by Using Oracle Data Pump Data Pump Overview Migrating by Using Data Pump Importing by Using a Network Link

Duration 4 Days 24 CPD hours This course is intended for This course is best suited to developers, engineers, and architects who want to use use Hadoop and related tools to solve real-world problems. Overview Skills learned in this course include:Creating a data set with Kite SDKDeveloping custom Flume components for data ingestionManaging a multi-stage workflow with OozieAnalyzing data with CrunchWriting user-defined functions for Hive and ImpalaWriting user-defined functions for Hive and ImpalaIndexing data with Cloudera Search Cloudera University?s four-day course for designing and building Big Data applications prepares you to analyze and solve real-world problems using Apache Hadoop and associated tools in the enterprise data hub (EDH). IntroductionApplication Architecture Scenario Explanation Understanding the Development Environment Identifying and Collecting Input Data Selecting Tools for Data Processing and Analysis Presenting Results to the Use Defining & Using Datasets Metadata Management What is Apache Avro? Avro Schemas Avro Schema Evolution Selecting a File Format Performance Considerations Using the Kite SDK Data Module What is the Kite SDK? Fundamental Data Module Concepts Creating New Data Sets Using the Kite SDK Loading, Accessing, and Deleting a Data Set Importing Relational Data with Apache Sqoop What is Apache Sqoop? Basic Imports Limiting Results Improving Sqoop?s Performance Sqoop 2 Capturing Data with Apache Flume What is Apache Flume? Basic Flume Architecture Flume Sources Flume Sinks Flume Configuration Logging Application Events to Hadoop Developing Custom Flume Components Flume Data Flow and Common Extension Points Custom Flume Sources Developing a Flume Pollable Source Developing a Flume Event-Driven Source Custom Flume Interceptors Developing a Header-Modifying Flume Interceptor Developing a Filtering Flume Interceptor Writing Avro Objects with a Custom Flume Interceptor Managing Workflows with Apache Oozie The Need for Workflow Management What is Apache Oozie? Defining an Oozie Workflow Validation, Packaging, and Deployment Running and Tracking Workflows Using the CLI Hue UI for Oozie Processing Data Pipelines with Apache Crunch What is Apache Crunch? Understanding the Crunch Pipeline Comparing Crunch to Java MapReduce Working with Crunch Projects Reading and Writing Data in Crunch Data Collection API Functions Utility Classes in the Crunch API Working with Tables in Apache Hive What is Apache Hive? Accessing Hive Basic Query Syntax Creating and Populating Hive Tables How Hive Reads Data Using the RegexSerDe in Hive Developing User-Defined Functions What are User-Defined Functions? Implementing a User-Defined Function Deploying Custom Libraries in Hive Registering a User-Defined Function in Hive Executing Interactive Queries with Impala What is Impala? Comparing Hive to Impala Running Queries in Impala Support for User-Defined Functions Data and Metadata Management Understanding Cloudera Search What is Cloudera Search? Search Architecture Supported Document Formats Indexing Data with Cloudera Search Collection and Schema Management Morphlines Indexing Data in Batch Mode Indexing Data in Near Real Time Presenting Results to Users Solr Query Syntax Building a Search UI with Hue Accessing Impala through JDBC Powering a Custom Web Application with Impala and Search

Duration 2 Days 12 CPD hours This course is intended for Report Authors Overview Create query models Create reports based on query relationships Introduction to dimensional data Introduction to dimensional data in reports Dimensional report context Focus your dimensional data Calculations and dimensional functions Create advanced dynamic reports This offering teaches Professional Report Authors about advanced report building techniques using relational data models, dimensional data, and ways of enhancing, customizing, managing, and distributing professional reports. The course builds on topics presented in the Fundamentals course. Activities will illustrate and reinforce key concepts during this learning activity. Create query models Build a query and connect it to a report Answer a business question by referencing data in a separate query Create reports based on query relationships Create join relationships between queries Combine data containers based on relationships from different queries Create a report comparing the percentage of change Introduction to dimensional reporting concepts Examine data sources and model types Describe the dimensional approach to queries Apply report authoring styles Introduction to dimensional data in reports Use members to create reports Identify sets and tuples in reports Use query calculations and set definitions Dimensional report context Examine dimensional report members Examine dimensional report measures Use the default measure to create a summarized column in a report Focus your dimensional data Focus your report by excluding members of a defined set Compare the use of the filter() function to a detail filter Filter dimensional data using slicers Calculations and dimensional functions Examine dimensional functions Show totals and exclude members Create a percent of base calculation Create advanced dynamic reports Use query macros Control report output using a query macro Create a dynamic growth report Create a report that displays summary data before detailed data and uses singletons to summarize information Design effective prompts Create a prompt that allows users to select conditional formatting values Create a prompt that provides users a choice between different filters Create a prompt to let users choose a column sort order Create a prompt to let users select a display type Examine the report specification Examine report specification flow Identify considerations when modifying report specifications Customize reporting objects Distribute reports Burst a report to email recipients by using a data item Burst a list report to the IBM Cognos Analytics portal by using a burst table Burst a crosstab report to the IBM Cognos Analytics portal by using a burst table and a master detail relationship Enhance user interaction with HTML Create interactive reports using HTML Include additional information with tooltips Send emails using links in a report Introduction to IBM Cognos Active Reports Examine Active Report controls and variables Create a simple Active Report using Static and Data-driven controls Change filtering and selection behavior in a report Create interaction between multiple controls and variables Active Report charts and decks Create an Active Report with a Data deck Use Master detail relationships with Decks Optimize Active Reports Create an Active Report with new visualizations

Duration 3.75 Days 22.5 CPD hours This course is intended for New systems administrators Overview When you complete this course, you will be able to:Customize your application, including page layouts, fields, tabs, and business processes in Lightning Experience.Learn how security settings created in Salesforce Classic are applied in Lightning.Maintain and import clean data in Lightning.Use Lightning features to create high-value reports and dashboards.Understand how workflow automation complies with Lightning This course is the core training that ensures your success with Salesforce Lightning. It?s a must for new administrators, and we recommend completing this course before starting a Salesforce deployment or when taking over an existing deployment. Getting Around the App Data Model and Navigation Lightning Experience Help & Training Getting Your Organization Ready for Users Setting Up the Company Profile Configuring the User Interface Setting Up Activities and Calendars Configuring Search Settings Setting Up Chatter Groups Mobile Access with Salesforce1 Setting Up & Managing Users Managing User Profiles Managing Users Setting Up Chatter Free Users and Invites Troubleshooting Login Issues Security & Data Access Restricting Logins Determining Object Access Setting Up Record Access Creating a Role Hierarchy Dealing with Record Access Exceptions Managing Field-level Security Object Customizations Administering Standard Fields Creating New Custom Fields Creating Selection Fields: Picklists and Lookups Creating Formula Fields Working with Page Layouts Working with Record Types and Business Processes Maintaining Data Quality Managing Data Import Wizards Data Loader Data.com Mass Transfer Backing Up Data Mass Delete and Recycle Bin Reports & Dashboards Running and Modifying Reports Creating New Reports with the Report Builder Working with Report Filters Summarizing with Formulas and Visual Summaries Printing, Exporting, and Emailing Reports Building Dashboards Automation Email Templates Workflow Rules Process Builder Lead Automation Managing the Support Process Managing and Resolving Cases Customizing a Support Process Automating Support Understanding the Salesforce Console for Service Collaborating in the Service Cloud Analyzing Support Data Additional course details: Nexus Humans Salesforce Administration Essentials for New Admins in Lightning Experience (ADX201) 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 Salesforce Administration Essentials for New Admins in Lightning Experience (ADX201) 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.