Name: Qlik Compose
Rating: 9.9 (2 reviews)
Author: Qlik

Help Desk

Web and Video Conferencing

Customer Support

Agile Development

Image Recognition

Development

Academic Advising

Education

Business Intelligence (BI)

Collaboration

Contract Management

Streaming Analytics

Supply Chain Management

Enterprise

Accounting

Cash Flow Management

Crypto Asset Management

Investor Relations

Finance and Accounting

Applicant Tracking

Corporate Learning Management

HR Management

Payroll

Talent Intelligence

Talent Management

Technical Skills Assessment

Workforce Analytics

Workforce Management

Human Resources

Cloud Storage

Data Integration

Data Mapping

Debugging

Edge Computing

Event Monitoring

Fraud Detection

IT Asset Disposal

Integration Platform as a Service (iPaaS)

Internet Security

License Management

Managed Hosting

Master Data Management (MDM)

Network Diagnostics

Network Performance Monitoring

NoSQL Databases

Packet Analyzer

Security Analytics

Storage Management

Tape Storage

Unified Endpoint Management (UEM)

WAN Optimization

Web Content Filtering

Wireless LAN

Wireless WAN

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Community

Content Management

Digital Rewards

Email Marketing

Marketing Analytics

Marketing Automation

Predictive Analytics

Social Media Analytics

Social Media Management

Survey & Forms Building

Video Collaboration

Web Analytics

Marketing

Project Management

Professional Services

Customer Communication Management

Customer Relationship Management (CRM)

Lead-to-Account Matching and Routing

Sales

Microsegmentation

Security

Animal Shelter

Animation

Computer-Aided Design (CAD)

Construction Management

Debt Collection

Tax Practice Management

Vertical-Specific

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Qlik Compose comes in two offerings: Qlik Compose for Data Warehouses and Qlik Compose for Data Lakes. Qlik Compose for Data Warehouse automates and streamlines the design, creation, loading, management, and update of data warehouses including Amazon Redshift, Azure Synapse, Google BigQuery, Snowflake and Oracle. Qlik Compose for Data Lakes automates the process of providing continuously updated, accurate, and trusted data to big data platforms like Apache Hadoop, Cloudera Customer Data Platform and Databricks Unified Data Analytics Platform.

Astera Data Pipeline Builder is a no-code solution for designing and automating data pipelines. It allows users to read and write data across various file formats, databases, and applications. Users can execute ETL and ELT pipelines manually, schedule automated reruns, or integrate them into broader data management processes.

Centerprise Enterprise

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Task Factory

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SolarWinds Task Factory

Qlik Compose

Data integration involves combining data residing in different sources and providing users with a unified view of these data.

Qlik’s vision is a data-literate world, one where everyone can use data to improve decision-making and solve their most challenging problems. Only Qlik offers end-to-end, real-time data integration and analytics solutions that help organizations access and transform all their data into value. Qlik helps companies lead with data to see more deeply into customer behavior, reinvent business processes, discover new revenue streams, and balance risk and reward. Qlik does business in more than 100 countries and serves over 50,000 customers around the world.

Qlik

Data Source Connection

Ability to connect to multiple data sources

Connect to traditional data sources

Ability to connect to traditional data sources like relational databases, flat files, XML files and packaged applications

Connecto to Big Data and NoSQL

Ability to connect to non-traditional data sources like Hadoop and other big data technologies, and NoSQL databases

Data Transformations

Data transformations include calculations, search and replace, data normalization and data parsing

Simple transformations

Simple data transformations are calculations, data type conversions, aggregations and search and replace operations

Complex transformations

Complex data transformations are data normalization, advanced data parsing, etc.

Data Modeling

A data model is a diagram or flowchart that illustrates the relationships between data

Data model creation

Ability to create and maintain data models using a graphical tool to define relationships between data

Metadata management

Automated discovery of metadata with ability to synchronize and share metadata with other tools like Master Data Management

Business rules and workflow

Ability to define and manage business rules and workflows

Collaboration is enabled by a shared repository of project information and metadata

Testing and debugging

Tool to debug and tune for optimal performance

Data Governance

Data governance is the practise of implementing policies defining effective use of an organization's data assets

Integration with data quality tools

Integration with tools for cleansing, parsing and normalizing data according to business rules

Integration with MDM tools

Integration with master data management tools to ensure data consistency across the organization

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Qlik Compose

Overview

What is Qlik Compose?