End-to-End Qlik Data Integration & Analytics Services
Delivering value With Qlik Data Integration Services
It’s crucial for an organisation undergoing a transformative project to be able to analyse data from multiple data sources. It’s fundamentally important that an organisation can streamline structured, unstructured, and legacy data systems for effective data integration during a transformative project.
Modern cloud-based data integration solutions such as Qlik’s data integration tools are very effective for accelerating your digital journey. Qlik cloud-based data integration solutions provide you and your organisation with immediate access to data insights 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
- Access to rapidly scale up and down data based on organisational needs
- Protect data from threats with robust security features
3 Key Enterprise 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 importing large amounts of assorted data from multiple data sources to a single cloud-based storage location such as a data warehouse or data lake. Data ingestion can be streamed in real-time or in batches and typically includes cleaning and standardising the data to be ready for data analytics tools such as Qlik’s Data Integration Platform. 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 centre to a data warehouse in the cloud. This ensures that the correct information is backed-up and synchronised to operational uses. Data replication can occur in bulk, in batches on a scheduled basis, or in real-time across data centres and/or the cloud.
The data warehouse automation process accelerates the availability of analytics-ready data by automating the data warehouse lifecycle—from data modelling and real-time ingestion to data marts and governance. This diagram shows the key steps of automated and continuous refinement of data warehouse creation and operation.
Using the Qlik Data Integration Platform for Better Analytics
Qlik's Data Integration (QDI) Platform is the ultimate solution for streamlining your data integration processes. By automatically creating data streams from core transactional systems, it efficiently moves data to applications, warehouses, and lakes, both on-premises and in the cloud. And the best part? It makes data immediately available via an intuitive Amazon-like catalogue marketplace experience! With Qlik's Data Integration Platform, you can enjoy the freedom of frictionless data agility, empowering you to drive greater business value and achieve your goals with ease.
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 Data Integration FAQs
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