
END-TO-END DATA INTEGRATION AND ANALYTICS
Delivering value with Data Integration
Having the ability analyse data from multiple sources, including structured, unstructured, and legacy systems is crucial to organisations undertaking transformative projects.
Modern cloud based data integration solutions accelerate your digital transformation journey. This provides you and your organisation with immediate access to data insight and resulting actions.
- Unlock trapped value from your existing business systems
- Extend enterprise data into live streams to enable modern analytics
- Rapidly design, build, deploy and manage purpose built cloud data warehouses
- Automate complex ingestion and transformation
- Enable analytics across your enterprise
- Reduce the complexity and cost of multiple tools
- Automate manual processes and workflows
- Ensure data quality and governance criteria are met
- Embrace disparate data formats and sources
3 Key Data Integration Use Cases
Every organisations’ needs are different, depending on industry, customers, products, process and workflow.
- Data Ingestion
- Data Replication
- Data Warehouse Automation
The data ingestion process involves moving data from a variety of sources to a storage location such as a data warehouse or data lake. Ingestion can be streamed in real time or in batches and typically includes cleaning and standardising the data to be ready for a data analytics tool. Examples of data ingestion include migrating your data to the cloud or building a data warehouse, data lake or data lakehouse.
In the data replication process, data is copied and moved from one system to another—for example, from a database in the data center to a data warehouse in the cloud. This ensures that the correct information is backed-up and is synchronised to operational uses. Replication can occur in bulk, in batches on a scheduled basis, or in real time across data centers and/or the cloud.
The data warehouse automation process accelerates the availability of analytics-ready data by automating the data warehouse lifecycle—from data modeling and real-time ingestion to data marts and governance. This diagram shows the key steps of automated and continuous refinement to data warehouse creation and operation.
Using the Qlik Data Integration Platform for Better Analytics
Qlik’s Data Integration (QDI) Platform automates the creation of data streams from core transactional systems. It efficiently moves data to applications, warehouses, and lakes — on premise and in the cloud — and makes data immediately available via an Amazon-like catalog marketplace experience. With Qlik, users get the frictionless data agility they need to drive greater business value.
2021 Gartner® Magic Quadrant™ for Data Integration Tools
Explore Qlik Data Integration Products
- Qlik Replicate™
Universal data replication and real-time data ingestion - Qlik Enterprise Manager™
Command centre to configure, execute and monitor data pipelines across the enterprise - Qlik Application Automation™
A no-code cloud service that streamlines workflows between SaaS applications and Qlik Cloud®
- Qlik Compose™
Agile data lake and data warehouse automation - Qlik Catalog™
A secure, enterprise-scale catalog to easily find, prepare and deliver analytics-ready data - Qlik Gold Client™
Streamline your SAP test data management and SAP modernization initiatives.
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