Qlik Learning Catalog

Create Visualizations with Qlik Cloud Analytics / Qlik Sense

This learning path focuses on practical skills for designing and building effective visualizations in Qlik Cloud Analytics. You will work with data preparation, selection, and analysis that support data-driven decision-making. You will also explore guided storytelling and best practices for sharing and finalizing apps.

Data Modeling with Qlik Cloud Analytics / Qlik Sense

This learning path provides a detailed methodology and process for creating a strong data model in Qlik Sense. It shows you how to manipulate data, create connections, and resolve data issues using the Data Load Editor and scripting. 

Introduction to Talend Studio

This learning path helps you use Talend Studio as quickly as possible. It focuses on the basic capabilities of Studio and how you can use it to build Jobs to read and write data from common database and file formats, transform it, and integrate it into targets. This learning path serves as a prerequisite for many other learning paths, and the skills learned apply to most products.

Talend Studio for Data Integration Essentials

This learning path helps you use Talend Studio for Data Integration as quickly as possible. It focuses on the basic capabilities of Studio and how you can use it to build reliable, maintainable data integration tasks that solve practical problems, including extracting data from common database and file formats, transforming it, and integrating it into targets.This learning path serves as a prerequisite for many other Talend courses, and the skills learned apply to most products.

Qlik Automate Foundations

Welcome to the exciting world of Qlik Automate! This comprehensive course is designed to empower you with the skills and knowledge needed to harness the full potential of Qlik's powerful automation capabilities. Qlik Automate enables you to seamlessly integrate and orchestrate data flows, ensuring timely and accurate insights that drive business success.

Talend Cloud Data Preparation

Talend Cloud Data Preparation is a self-service application that enables information workers to prepare data for analysis and other data-driven tasks. This learning path helps you immediately get started with Talend Data Preparation Cloud, and it covers the management of data tasks in Talend Cloud.

Talend Cloud API Services

This learning path provides full API development lifecycle support that extends from design to deployment. You can easily design, prototype, and document APIs in Talend API Designer, quickly implement the underlying service in Talend Studio, ensure your APIs are solid and reusable with API Tester, and deploy services in Talend Management Console.

Talend Data Mapper Essentials

Talend Data Mapper helps you work with hierarchical data involving complex constructs like nested or looping structures. The product lets you define and execute transformations (called maps) between data records or documents. You can define the input and output structures manually or import them from various formats (such as XML, SWIFT, COBOL, CSV, EDI, XLS, and MySQL databases). This learning plan familiarizes you with the most popular features of Talend Data Mapper.

Talend Studio for Big Data Essentials

Talend provides a development environment that enables users to interact with many Big Data sources and targets without having to understand or write complicated code. Talend Big Data Basics is an introduction to the Talend components shipped with several products that interact with Big Data systems.

Talend Studio for Big Data - Spark Batch

This learning path focuses on Spark Batch. After an introduction to Apache Spark, you learn how to use the Spark framework in Studio and then you work on a common Big Data use case: download analysis. Talend Big Data Spark Batch is designed to help you utilize the most common Talend Big Data components as well as publish Jobs to Talend Administration Center and schedule them.

Talend Studio for Big Data - Spark Streaming

This learning path concentrates on Big Data Spark Jobs. It is mainly focused on Big Data Streaming Jobs but also introduces you to Big Data Batch Jobs. After an introduction to Apache Kafka and Apache Spark, you work on a log processing use case, which is a common Big Data use case. You see how to publish messages to Kafka, subscribe to receive messages, insert data into ElasticSearch, and use Kibana to create charts and dashboards. You also see how to save data to and read data from HBase tables.

Talend Data Fabric Installation Foundations

In this learning path, you go through a series of videos to help you understand the installation procedures and prerequisites, and you will learn how to get the best out of Talend Cloud and on-premises products.

Talend Data Fabric Security Foundations

In this learning path, you go through a set of videos to understand the security enhancements you can implement to accelerate your digital transformation and get the best out of your Talend products, cloud and on-premises.

Talend Studio for Data Integration Advanced

Discover how to use more advanced features of Talend Data Integration, which provides an extensible, highly-scalable set of tools to access, transform, and integrate data from any business system to meet both operational and analytical data integration needs.

Talend Data Catalog Basics

Accelerate time to compliance and improve data accessibility with detailed information about all of your metadata. Talend Data Catalog is a tool that combines data cataloging and metadata management. It connects data from platforms, databases, and analytics tools to generate a holistic view of the information supply chain in a language that everyone can understand.

Talend Data Catalog Advanced

Become an expert with Talend Data Catalog and learn how to manage multiple configurations in a common interface. Optimize your work with time-saving features, helpful collaboration tools, and advanced administrative capabilities.

Talend Studio for Data Quality Essentials

Talend Studio for Data Quality enables data governance teams to assess the quality of data in any data source. Talend Data Quality also lets you verify data completeness, accuracy, and integrity in preparation for data migration, instance consolidation, and data integration. This learning path helps you immediately utilize Talend Studio for Data Quality. You learn how to evaluate data quality according to a set of metrics and thresholds based on indicators, models, and rules for each data item to be analyzed or monitored. You also use Data Integration Jobs for simple data cleansing tasks.

Mapping COBOL Structures with Talend Data Mapper

This learning path is an extension of the Talend Data Mapper Essentials learning plan, showing you how to perform mapping on data structures following the COBOL format.  

Mapping EDI Structures with Talend Data Mapper

This learning path is an extension of the Talend Data Mapper Essentials learning plan, showing you how to perform mapping on data structures following the EDI format.

Mapping SWIFT Structures with Talend Data Mapper

This learning path is an extension of the Talend Data Mapper Essentials learning plan, showing you how to perform mapping on data structures following the SWIFT format.

Talend Cloud Essentials

Talend Cloud provides broad connectivity, built-in data quality, Talend Cloud apps for business, and native code generation to support the latest cloud technologies. In this learning plan, you learn how to create datasets and preparations to deliver cleansed, structured, enriched data to business users. You also learn how to build Data Preparation and Data Stewardship Jobs in Talend Studio, publish them to the cloud, and schedule them in Talend Cloud. Duration: 1 day (7 hours) Target audience: Data owners, DI developers, an

Talend Cloud Data Stewardship

This learning path enables developers to build DI Jobs for Talend Data Stewardship (in Talend Cloud) to empower business users to quickly access and handle tasks. It covers the creation of data models, campaigns, and tasks, as well as how to resolve several types of tasks in Talend Data Stewardship.It is based on knowledge of data integration acquired from the Introduction to Talend Studio or Talend Data Integration Basics learning paths.

Talend Cloud Trust Score

This learning plan covers the main functionalities of Talend Cloud for a data analyst: creating and managing datasets in Talend Data Inventory; creating preparations to cleanse, structure, and enrich data; preparing data using Pipeline Designer; and handling tasks using Talend Data Stewardship.

Talend Cloud Administration

This learning path covers the main functionalities of Talend Management Console. This cloud application is used to schedule and follow up task execution and as an administration console to create users, roles, user groups, and projects. You can design cloud-to-cloud and hybrid integration Jobs in Talend Studio and publish them to Talend Management Console.

Talend Data Inventory

This learning path provides the knowledge required to inventory multiple datasets in your organization.

Talend Data Fabric Troubleshooting guides

This learning path provides a portfolio of solutions for the common issues you may encounter using Talend products. It offers trainees the troubleshooting tools they need to solve the issues encountered using Talend Management Console and Remote Engines, Talend Studio, Administration Center & Job Server, Talend Data Catalog and the Continuous Integration process.

Synchronizing Data with Qlik Replicate

This learning path combines demonstrations and hands-on activities to teach the concepts of keeping data sources and data targets synchronized.

Qlik Talend Cloud Data Integration Essentials

This learning path enables you to create data pipelines using Qlik Cloud Data Integration. It shows you how to install and configure the Data Movement Gateway, channel data from the source to the target platform and transform data while in transit.

Data Load Basics

This module compares methods for loading data into a Qlik Sense app, and explains how data profiling impacts the process of creating associations between tables. In addition, you learn the importance of associations relative to visualizations which reference fields in multiple tables.

Using Images Within Apps

This module shows you how to include images in sheets, in stories, as thumbnail images that identify your app, or for select components within your app.

Configuring Alternative Dimensions and Measures

This module presents the process of configuring and applying alternative dimensions and measures on charts.

Considerations when Loading Data from Excel

This module presents some things you should think about when you want to analyze Excel data in Qlik Sense.

Introduction to the Data Model Viewer

This module provides a basic introduction to the capabilities of the Data model viewer.

Introduction to the Data Manager

This module provides an introduction to the capabilities of the Data manager and the results of the data profiling tools that are generated under certain data load workflow conditions. This includes an introduction to the capabilities of the Associations bubble view, the Tables overview, and the Table editor view.

Data Manager Calculations and Transformations

This module discusses the capabilities to calculate new fields and transform data from within the table editor view of the Data manager. This includes the ability to bin data into categorical ranges, parse data from a single field into multiple fields, and replace multiple values with a single consistent value or a null value.

Data Manager Associations, Concatenations and Joins

This module shows you how to use the Data manager's associations bubble view to create associations, or relations, between tables and merge rows of data from separate sources to form a single concatenated table.

Chart Expressions Overview

This module provides a broad overview of how expressions can be applied to charts in order to broaden your options for configuring visualizations.

Introduction to String Functions

This module provides an overview of how String functions may be applied in charts in order to expand the analytical capabilities of data visualizations.

Working with Variables

This module discusses the value of creating variables in an app, and shows you how to use the Variables overview dialog to view and manage existing variable values. You will also be introduced to the Variable input extension, which may be used to change variable values in both unpublished and published apps.

Color in Visualizations

This module describes the wide array of options that are available to configure color on different types of visualizations.

Configure Reference Lines

This module discusses the option to include reference lines on certain visualization types. Concepts and capabilities such as set expressions, variables, statistical variability, the aggregate function, and number formatting are presented as they are applied to reference lines.

Limit Dimensions Displayed

This module discusses the limitation capability that can be applied to certain chart types in order to limit the number of dimension values displayed in a visualization.

Sorting Items in Visualizations

This module discusses the options that are available to sort items like bars, sectors, lines, and table cells within certain types of visualizations.

Format Numbers in Visualizations

This module shows you the options for achieving the desired number formatting in visualizations.

Working with Dates

This module discusses how dates are handled in Qlik Sense. You learn how to format dates, perform calculations with dates, map date aggregations to the assets panel, create calendar measures, and ensure that gaps in dates from your data model are accurately represented in visualizations.

Nested Aggregations

This module discusses the ability to configure chart expressions to calculate percentages, scale a range of values between zero and one, and nest one aggregation within a second aggregation in order to achieve expression goals.

Create Bar Charts

This module provides a detailed look at the properties that are available to configure bar chart visualizations. You will be encouraged to consider when it is appropriate for you to select this chart type to represent your data to facilitate your visual analysis.

Create Histograms

This module shows you how to configure and use histograms to evaluate the distribution of numerical values in a field.

Create Waterfall Charts

This module provides a detailed look at the properties that are available to configure waterfall chart visualizations. You will be encouraged to consider circumstances where it is appropriate for you to select this chart type to represent an initial value and the cumulative impact of subsequent positive and negative contributions upon that value.

Create Combo Charts

This module provide a detailed look at the properties that are available to configure combo chart visualizations. You will be encouraged to consider when it is appropriate for you to select this chart type to represent your data to facilitate your visual analysis.

Create Box Plots

This module describes the box plot visualization type, shows how to configure box plots to represent different data distribution metrics, and applies box plots to make robust comparisons of categorically grouped measure values.

Create Line Charts

This module provides a detailed look at the properties that are available to configure line chart visualizations. You will be encouraged to consider when it is appropriate for you to select this chart type to represent your data to facilitate your visual analysis.

Create Scatter Plots

This module provides a detailed look at the properties that are available to configure scatter plot visualizations. You will be encouraged to consider when it is appropriate for you to select this chart type to represent your data to facilitate your visual analysis.

Create Distribution Plots

This module shows you how to create and interpret distribution plots.

Create Pie Charts

This module provides a detailed look at the properties that are available to configure pie chart visualizations. You will be encouraged to consider when it is appropriate for you to select this chart type to represent your data to facilitate your visual analysis. And you will be shown how to configure pie charts which approximate a rose chart or radial bar chart (a.k.a. coxcomb chart, polar area diagram, or polar bar chart).

Create Treemaps

This module provides a detailed look at the properties that are available to configure treemap visualizations. You will be encouraged to consider when it is appropriate for you to select this chart type to represent your data to facilitate your visual analysis.

Create Tables

This module provides a detailed look at the properties that are available to configure table visualizations. You will be encouraged to consider when it is appropriate for you to select this chart type to represent your data to facilitate your visual analysis.

Create Pivot Tables

This module provides a detailed look at the properties that are available to configure pivot table visualizations. You will be encouraged to consider when it is appropriate for you to select this chart type to represent your data to facilitate your visual analysis.

Create Gauges

This module provides a detailed look at the properties that are available to configure gauge visualizations. You will be encouraged to consider when it is appropriate for you to select this chart type to represent your data to facilitate your visual analysis.

Create KPI Charts

This module provides a detailed look at the properties that are available to configure KPI visualizations. You will be encouraged to consider when it is appropriate for you to select this chart type to represent your data to facilitate your visual analysis.

Introduction to Qlik GeoAnalytics

This module introduces Qlik GeoAnalytics, an advanced suite of location intelligence tools.

Create Map Layers with Qlik GeoAnalytics

This module focuses on the configuration options available in the various map layers of Qlik GeoAnalytics.

Configuration Settings on the Qlik GeoAnalytics Map

This module focuses on many of the settings available to configure the Qlik GeoAnalytics Map.

Resolving Location Errors and Data Mismatches

This module investigates troubleshooting and resolving location errors and data mismatches experienced when configuring Qlik GeoAnalytics map charts.

Qlik GeoAnalytics Aggregate Operations

This module explores the Qlik GeoAnalytics Aggregate Operations available in Qlik Sense Enterprise Client Managed.

Qlik GeoAnalytics Routing Operations

This module explores the Qlik GeoAnalytics Routing Operations available in Qlik Sense Enterprise Client Managed.

Qlik GeoAnalytics Lookup Operations

This module explores the Qlik GeoAnalytics Lookup Operations available in Qlik Sense Enterprise Client Managed.

Introduction to the Data Load Editor

This module delivers a brief overview of the Data load editor.

Loading Data from a Database

This module focuses on using the Data load editor to connect to, and extract data from, database sources.

Associating Tables and Transforming Data

This module uses the Data load editor to create the loading script to extract data from several database tables.

Debugging the Script

This module addresses multiple errors when attempting to load data with the Qlik Sense data loading script.

Creating Data During Reload

This module performs several different tasks by using different types of data sources from within the Qlik Sense data load script.

Managing Security with Section Access - Qlik Sense Enterprise Client Managed

This module investigates Section Access, which is an additional layer of security that is defined in the load script within a Qlik Sense app. It is specific to the Qlik Sense Enterprise Client Managed versions of the software.

Working with Dates in the Data Load Script

This module explores several solutions for handling dates in order to provide accurate representations of the data in your analysis.

Classifying Data

This module investigates three options for classifying data using a Qlik Sense script: The Class() function, the If() function, and the IntervalMatch prefix.

Working with CrossTable and Generic Loads

This module explains two different methods for transforming tables using the CrossTable and Generic prefixes.

Create Map Charts

This module provides a detailed look at the properties which are available to configure the Map chart-type which is available as a standard Qlik Sense chart. The process of building Maps with multiple layers will be discussed. And, you will learn how to interact with the maps you have designed.

Interpreting Bar Charts

This module provides business users with an overview of bar charts, including different types of bar charts, and helps them interpret bar chart visualizations.

Interpreting Box Plots

This module provides business users with an overview of box plots, including different types of box plots, and helps them interpret box plot visualizations.

Interpreting Combo Charts

This module provides business users with an overview of combo charts, including different types of combo charts, and helps them interpret combo chart visualizations.

Interpreting Histograms

This module provides business users with an overview of histograms, including how to interpret them.

Interpreting Waterfall Charts

This module provides business users with an overview of waterfall charts, including how to interpret them.

Exploring the Qlik Sense Repository Database

This module focuses on exploring the Qlik Sense Repository Database.

Automating the Qlik Sense Repository Database Backup

This module focuses on the simple task of automating a Qlik Sense Repository database backup.

Creating and Applying Tags to System Resources

This module focuses on system resource tags in the Qlik Management Console.

Creating User Directory Connectors

This module focuses on creating User Directory Connectors in Qlik Sense.

Introduction to Qlik NPrinting

This module introduces Qlik's enterprise class reporting solution, Qlik NPrinting.

Install Qlik NPrinting

This module focuses on the installation and configuration of Qlik NPrinting.

Configure Qlik NPrinting

This module focuses on configuring the Qlik NPrinting environment.

Qlik NPrinting Report Scheduling and Distribution

This module focuses on scheduling and distributing Qlik NPrinting reports.

Qlik NPrinting Filters and Conditions

This module focuses on two Qlik NPrinting capabilities: filters and conditions.

A Quick Tour of QlikView (QV 12)

This module familiarizes you with QlikView fundamentals.

Create a Simple Document (QV 12)

This module describes what a document in QlikView is and how it is created.

Loading Data (QV 12)

This module covers the basics of loading data into a QlikView document.

QlikView Design Interface (QV 12)

This module reviews the functionality of the QlikView design interface.

Searching and Selecting (QV 12)

This module explores ways to search for and select data values in a QlikView document.

Understanding Dimensions and Measures (QV 12)

This module explores the concepts of dimensions and measures and how they apply to QlikView documents.

Creating Simple Bar Charts (QV 12)

This module focuses on creating simple bar charts.

Creating Simple Line Charts (QV 12)

This module reviews the purpose and function of a line chart.

Creating Pie Charts (QV 12)

This module reviews the purpose and function of a pie chart.

Creating Straight Table Charts (QV 12)

This module reviews the purpose and function of a straight table chart.

Exploring the Flexible Text Object (QV 12)

This module explores what a QlikView text object is and how it is used.

Adding a Search Object (QV 12)

This module reviews the function and power of the QlikView search object.

Adding a Current Selections Object (QV 12)

This module explores the function of the current selections object.

Sharing Results (QV 12)

This module explores the sharing and collaborative options that QlikView offers.

Exploring Dimension Limits (QV 12)

This module discusses the limitation capability which can be applied to certain chart types in order to limit the number of dimension values displayed in a visualization.

Managing Alternate States (QV 12)

Implementing alternate states enables a comparative analysis between different datasets on the same sheet. Sheets and objects that no longer inherit the default state are independent from the rest of the document in terms of selections.

Adding Chart User Control (QV 12)

This module explores configuring user controls on charts to extend their usefulness and avoid creating multiple similar charts.

Using Expression Attributes (QV 12)

This module explains the additional functionality provided by chart expression attributes.

Leveraging Set Analysis (QV 12)

In this module uncovers the world of QlikView set analysis expressions.

Aggregating with AGGR() (QV 12)

This module investigates the QlikView AGGR() function.

Loading Data from a Database (QV 12)

This module focuses on using the Edit Script dialog to connect to - and extract data from - database sources.

Associating Tables and Transforming Data (QV 12)

This module discusses controlling table associations by aliasing fields and using expressions to transform data within the data loading script.

Resolving Data Model Issues (QV 12)

This module investigates several issues that you will commonly encounter when loading data into QlikView and resolves them with some essential scripting techniques.

Debugging the Script (QV 12)

This module addresses multiple errors when attempting to load data with the QlikView data loading script.

Validating the Model (QV 12)

This module focuses on ensuring data models accurately reflect the correct numeric data required of QlikView documents.

Creating Data During Reload (QV 12)

This module explores several techniques of generating data internally within the QlikView data load script.

Generating a Master Calendar (QV 12)

This module explores why master calendars are necessary and explains how to work with them within the QlikView data load script.

Combining Tables - Joins (QV 12)

This module investigates table joins - one of three ways to combine tables in a QlikView data model.

Combining Tables - Concatenation (QV 12)

This module investigates table concatenation - one of three ways to combine tables in a QlikView data model.

Combining Tables - Mapping (QV 12)

This module investigates table mapping - one of three ways to combine tables in a QlikView data model.

Interpreting Distribution Plots

This module provides business users with an overview of distribution plots, including how to interpret them.

Interpreting Line Charts

This module provides business users with an overview of line charts, including how to interpret them.

Interpreting Scatter Plots

This module provides business users with an overview of scatter plots, including how to interpret them.

Drill-down and Zoom-dependent Layer Display in Maps

This module provides a detailed look at the ability to configure standard Qlik Sense charts with multiple layers. You learn how to achieve complex map configurations, including drill-down or zoom level-dependent layer display. In addition, you see how map data is loaded from a KML file and experience the process of adjusting the scope of mapping matches to Qlik's geographic database.

Interpreting Pie Charts

This module provides business users with an overview of pie charts, including how to interpret them.

Interpreting Treemaps

This module provides business users with an overview of treemaps, including how to interpret them.

Interpreting Tables

This module provides business users with an overview of tables, including how to interpret them.

Interpreting Pivot Tables

This module provides business users with an overview of pivot tables, including how to interpret them.

Interpreting Gauges

This module provides business users with an overview of gauges, including how to interpret them.

Interpreting KPIs

This module provides business users with an overview of KPIs, including how to interpret them.

Interpreting Map Charts

This module provides business users with an overview of Map charts, including how to interpret them.

Interpreting Filter Panes

This module provides business users with an overview of filter panes, including how to interact and interpret them.

Create Mekko Charts

This module describes and demonstrates how to create Mekko charts in order to evaluate a measure grouped by two different dimensions and normalized to a percentage scale to make relative comparisons.

Create Bullet Charts

This module provides a detailed look at the properties that are available to configure bullet chart visualizations. You are shown several options for representing data in bullet charts and are encouraged to consider when it is appropriate for you to select this chart type to represent your data to facilitate your visual analysis.

Transitioning from QlikView to Qlik Sense

This module helps QlikView users get started using Qlik Sense.

Introduction to Qlik Compose for Data Lakes

In this course you learn how Qlik Compose fits into the Qlik Data Integration platform.

Qlik Compose Integration with Qlik Replicate

This course discusses how Qlik Compose for Data Lakes integrates with Qlik Replicate.

Qlik Compose for Data Warehouses - ETL Mapping Functions

This course covers some basics of managing the ETL mappings process in Qlik Compose. Qlik Compose ETL Mappings define business transformation rules for creation and the loading of data into the Data Warehouse.

Qlik Compose for Data Warehouses - ETL Data Rules

This course continues the discussion of managing ETL in Qlik Compose.

Qlik Compose for Data Lakes Row Level Computation

This course explores row level computation and what can be done to the data when you are working with the mapping of an entity.

Qlik Compose for Data Warehouses - Managing Lookup Tables

This course covers some basics of managing ETL in Qlik Compose, including how to use lookup tables to create a transformation.

Qlik Compose for Data Lakes Schema Evolution

This course shows how Qlik Compose for Data Lakes can automatically deal with schema changes on the source without user intervention and without losing data.

Qlik Compose for Data Lakes - Development Operations

This course covers monitoring, including workflows, scheduling, and setting up notifications. It also discusses deployment packages, the Compose CLI (Command Line Interface), command tasks, source control, and user permissions.

Qlik Enterprise Manager Console

This course explores the Qlik Enterprise Manager, a console for monitoring and managing multiple Qlik Replicate, Qlik Compose for Data Lakes, Qlik Compose for Data Warehouses, and Qlik Data Catalog servers in one user interface.

Managing Security with Section Access - Qlik Sense Enterprise SaaS

This module investigates Section Access, which is an additional layer of security that is defined in the load script within a Qlik Sense app.

Qlik Compose for Data Warehouses Modeling

In this course, you review the concepts of data warehouse modeling, how it differs with the various approaches and how it impacts your progress in Qlik Compose.

Qlik Compose Overview and Basic Navigation

This course covers the basic navigation and operation of Qlik Compose.

Qlik Compose Methodology - Data Vaults

This course covers data vault modeling, a key aspect to the Compose data warehouse methodology.

Qlik Compose for Data Warehouses - Common Use Cases

In this course, you take a deeper dive into understanding data warehouses and how they benefit the OLAP model.

Qlik Compose for Data Warehouses vs Qlik Compose for Data Lakes

In this course you explore the differences between Compose for Data Warehouses and Data Lakes.

Qlik Compose for Data Warehouses - ETL

This course looks at a high-level view of managing the ETL process in Qlik Compose for Data Warehouses.

Hard and Soft Deletes in Qlik Compose

In this course you explore how deletes are handled in Qlik Replicate and Qlik Compose.

Qlik Compose for Data Lakes - Understanding the Live View

In this course, you explore how live view works, specifically when using Compose for Databricks

Qlik Compose for Data Lakes - Objects Created by Compose

In this course, you look at what objects are created by Compose and how they are managed.

Qlik Compose for Data Warehouses - Change Mapping Views and Source Types

In this course, you explore advanced mappings including how to use different views to map and use queries instead of tables to create mappings.

Qlik Compose for Data Warehouses - ETL Mapping Add and Rename

In this course, you look at how to add new mappings and rename existing mappings to manage the ETL set.

Qlik Compose Lab: SAP Orders-to-Cash Solution

This course contains a lab exploring the Qlik Orders2Cash Data Warehouse model for performing operational reporting in the enterprise areas Sales, Shipping, Billing, and Accounts Payable, based directly on the data in a SAP ERP system.

Qlik Compose Lab: Inventory Management Solution

This course contains a lab exploring the Qlik Compose Inventory Management model for performing operational reporting in the enterprise areas Sales, Shipping, Billing, and Accounts Payable, based directly on the data in a SAP ERP system.

Qlik Compose Lab: Financial Solution

This course contains a lab exploring the Qlik Compose Finance model for performing operational reporting in the enterprise areas Sales, Shipping, Billing, and Accounts Payable, based directly on the data in a SAP ERP system.

Qlik Compose Lab: Troubleshooting ETL Codes Associated with Errors

This course contains a lab exploring how to associate an error in Qlik Compose.

Qlik Compose Lab: Troubleshooting Error Samples

This course contains a lab exploring troubleshooting errors in Qlik Compose.

K-means Clustering

This module discusses the process and value of clustering data in Qlik Sense. Clustering is a mathematical method for grouping data based upon similarities across multiple measures. The k-means clustering algorithm is applied in order to accomplish clustering based upon two measures (2D clustering) or more than two measures. This module also discusses the potential need to normalize data and the option to determine the number of cluster groups relative to the degree of similarity of items grouped.

Understanding the Differences Between Client-Managed and SaaS Editions of Qlik Sense

This webinar video will demonstrate topics showing the differences between the client-managed Qlik Sense environment and Qlik Sense SaaS. Learn how customize your own page, use spaces, connect to data sources and much more!

Introduction to Data Gateway - Direct Access

This module explores the Data Gateway – Direct Access capability, which is a registered, authenticated connection for applications in Qlik Cloud to securely access on-premises data or data from a Virtual Private Cloud for analysis in Qlik Sense applications.

Managing a Business Glossary in Qlik Cloud

This module explores how to leverage a Qlik Cloud Business Glossary to standardize the definitions of your organization's keywords and short phrases, and enables you to develop, manage, and present a consistent set of logical categories and terms that are associated to Qlik apps and objects.

Transitioning from PowerBI to Qlik Sense

This module explores the differences and similarities between PowerBI and Qlik Sense to assist your transition to using Qlik Sense.

Differentiate and Manage Qlik Cloud Spaces

This module explores the four types of spaces in Qlik Cloud (Personal, Shared, Managed, and Data) to understand when to use each type.

Administer and Allocate Space Roles in Qlik Cloud

This module reviews allocating user roles manually and dynamically for Qlik Cloud.

Integrating an External Identity Provider with Qlik Cloud

This module demonstrates integrating an external Identity Provider (IdP) for authentication of your Qlik Cloud environment.

Reload Data for Analysis

This module introduces the concept of reloading data and provides basic instructions for reloading data into an app after making simple changes or updates to the data source.

Introduction to Set Expressions

This module introduces set expressions, which may be applied to visualizations in order to define a set of data for aggregation which is different from the 'normal' set defined by the current state of selections in an app.

Advanced Set Expressions

This module takes a look at some advanced set expression concepts.

Control Visualization Calculation

This learning module focuses on a visualization feature which allows you to control whether or not the visual components of a chart are calculated, based upon a conditional test. The calculation condition feature may be useful when you want to reduce visual clutter or improve the performance of an app.

Identifying Correlated Measures

This module focuses on examining measures for potential correlations, and shows you how to calculate metrics associated with linear regression analysis.

Calculating Quartiles or Percentiles

This module focuses on a specific type of calculation that is useful for defining a data distribution based on commonly calculated percentile aggregations.

Generating Missing Data

This module explores scripting techniques to generate missing data.

Qlik GeoAnalytics Geometric Operations

This module explores the Qlik GeoAnalytics Geometric Operations available in Qlik Sense Enterprise Client Managed.

Qlik Talend Data Product Catalog Essentials

This learning plan helps you to understand the key capabilities of Qlik Talend Catalog. It focuses on discovering and understanding the various data assets listed in the catalog. It helps you understand how to discover and compute various data quality indicators. You can also learn to create and activate data products for consumption across the organization using analytical apps.

Integrating Qlik Replicate with SAP

In this activity you learn about Qlik Replicate's ability to connect to different interfaces of an SAP system to ingest data and stream data updates to an external target in real time.

Introduction to Talend Data Catalog

Talend Data Catalog is a tool that combines data cataloging and metadata management.This training helps business users and data analysts quickly understand how to address their typical use cases: finding data assets and determining their reliability and lineage.

Qlik Reporting: Creating Reports with PixelPerfect Editor

This course teaches you how to work with the PixelPerfect editor in the Reporting section of Qlik Cloud Analytics. Follow along with the activities to explore the various features and options in this new tool!

Qlik Cloud Analytics - Data Preparation Essentials

This course will cover the creation of data flows and table recipes.

Talend Cloud & Talend Studio Foundations

This learning path gives you an overview of all Talend Cloud applications and Talend Studio capabilities.

Talend Cloud Dynamic Engines

In this learning path, you are introduced to the Talend Management Console and Dynamic Engine solution, its architecture, advantages, and how it can be deployed.

Qlik Talend Cloud - Open Lakehouse

In this course, you learn about creating an Open Lakehouse using Qlik Talend Cloud Data Integration. You learn about Apache Iceberg tables and how to create them from content in a SQL database, storing the Iceberg tables and metadata in an Amazon Web Services S3 bucket. Examine two approaches to creating and managing iceberg table data. The first uses Qlik Talend Cloud to load, create, manage and process the data. The second uses Snowflake and Qlik Talend Cloud to load, create, manage and process the data.

Qlik Data Gateway — Data Movement installation

This learning path enables you to install and configure a Qlik Data Gateway — Data Movement in Qlik Talend Cloud Data Integration.

Preparing Data For Analytics Using Data Integration Tools

In this activity, you use Talend Studio and Talend Cloud to prepare data for analytics use.

Monitoring Data APIs on Remote Engine Gen2

In this learning path, you are introduced to the Talend Management Console and Dynamic Engine solution, its architecture, advantages, and how it can be deployed.

Qlik Compose Essentials

This collection of courses helps you get started with Qlik Compose, by learning how to navigate the Qlik Compose user interface and how Qlik Compose for Data Lakes fits into the Qlik Data Integration platform.

Qlik Compose Advanced

This collection of courses extends your knowledge and skills with Qlik Compose. For Qlik Compose for Data Warehouses, deepen your ETL knowledge and skills by exploring topics such as using lookup tables and advanced mapping. Additional labs offer skills-building on advanced topics such as SAP, inventory, financial management, and troubleshooting errors.

Qlik Replicate

Learn about Qlik Replicate and the concepts of keeping data sources and data targets synchronized. Also, learn about Qlik Replicate's ability to connect to different interfaces of an SAP system to ingest data and stream data updates to an external target in real time.

Talend Cloud

Learn how to work with Talend Cloud and prepare for the Talend Cloud Administrator certification exam.

Monitoring Data APIs on Remote Engine Gen2

In this training activity, you learn how to configure a data API on Talend Remote Engine Gen2 and set up dashboards to monitor the performance of the API.

Talend Management Console and Remote Engines Troubleshooting Guide

This set of tips help you fix issues related to your Talend Cloud subscription and your Remote Engines configuration.

Talend Studio, TAC, and JobServer Troubleshooting Guide

This guide covers troubleshooting, performance, and tips regarding Talend Studio, Talend Administration Center (TAC), and Talend Job Server.

Talend Data Catalog Troubleshooting Guide

This set of tips help you fix issues related to your Talend Data Catalog.

CI/CD Troubleshooting Guide

In this activity, you learn how to implement the CI/CD command line zero installation feature using Talend 8.x. You also learn how to troubleshoot the most common issues related to the CI/CD configuration, build, and deployment process.

Preparing Data for Analytics Using Data Integration Tools

In this activity, you prepare data for analytics use. You load data into Snowflake. Then, you use cloud apps to cleanse and prepare data. You use Studio to structure your data in a data mart. Finally, you connect your data mart to Qlik Sense and create visualizations.

Qlik Talend Cloud - Starter Edition Foundations

In this video series, you learn the basics of using Qlik Talend Cloud - Starter Edition for designing your replication tasks.

Integrate Qlik Replicate and Talend using Kafka

This use case presents a single solution for using Qlik and Talend for real-time integration using Kafka. Qlik Replicate copies data from a source, either fully or only changed data. In real-time, Talend identifies records that may require further investigation by data stewards or further data preparation steps. The final data can then be stored in data lakes, trusted and ready to be consumed by AI learning engines and corporate decision-makers.

Integrating Qlik Replicate with SAP

In this activity you learn about Qlik Replicate's ability to connect to different interfaces of an SAP system to ingest data and stream data updates to an external target in real time. 

Integrating Qlik Talend Cloud with SAP

In this activity, you learn about Qlik Talend Clouds' ability to connect to different interfaces of an SAP system to ingest data and transform and write change data to an external target.

Understanding Qlik Predict

This course covers the first steps in identifying and creating a machine learning (ML) experiment using AutoML.

Qlik Predict Foundations

This course introduces you to the basics of machine learning (ML) and how Qlik AutoML can democratize the power of data science, allowing organizations to apply predictive AI to far more use cases.

Qlik Answers Foundations

Qlik Answers is a plug-and-play, generative AI-powered knowledge assistant that provides business users with personalized, contextually relevant answers to questions sourced from unstructured content. Unlike traditional search, generative AI delivers personalized answers to questions instead of just lists of content.

Qlik Embed Foundations

Qlik-embed is Qlik’s primary embedding framework. It simplifies the embedding of Qlik technologies while also increasing the potential breadth and depth of your integrations for both Qlik Cloud and Qlik Sense Enterprise client-managed. This course covers qlik-embed and the concepts needed to facilitate qlik-embed, like authentication and security.