Managed Data Lake Creation

Continuously updated, analytics-ready data lakes without coding

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The Qlik Data Integration platform for managed data lakes automates the process of providing continuously updated, accurate, and trusted data sets for business analytics. Data engineers have the agility to quickly add new sources and ensure success at every step of the data lake pipeline from real-time data ingestion, to refinement, provisioning, and governance.
Graphic illustrating the steps involved in data lake creation and how Qlik data integration supports the process.

Delivering the Agile Data Lake

Rapid design, deployment, and data management without coding
Qlik is recognized in the Gartner Magic Quadrant for Data Integration Tools.
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Graphic illustrating the steps involved in data lake creation and how Qlik data integration supports the process.

Real-time data streams for faster, better insights

Change data capture provides a real-time backbone to accelerate data movement to your lake from the widest variety of heterogeneous databases, data warehouses, and enterprise sources like mainframe and SAP.

  • Change data capture
  • Universal sources, targets and platforms
  • Enterprise-wide monitoring and control
Graphic illustrating the steps involved in data lake creation and how Qlik data integration supports the process.

Automated and continuous refinement

Qlik standardizes and combines change streams into a single transformation-ready data store in the lake. It automatically merges multi-table and/or multi-sourced data into a flexible format and structure while retaining full history. The resulting persisted data history provides data consumers with rapid access to trusted data, including full lineage, without needing to understand the automated structuring that has taken place.

  • Pipeline automation and orchestration
  • Resilient and self healing
  • “Merge on Read” Live Views
Screenshot of Qlik Catalog

Trusted, enterprise-ready data

Qlik Catalog™ builds a secure, enterprise-scale catalog of all the data in your lake and throughout your organization, no matter where it resides. Business users get a single, go-to data marketplace to easily find, understand, and use any enterprise data source to gain insights.

  • Smart, integrated data catalog
  • Security and governance
  • IT and business collaboration

Support for Flexible Architectures

Qlik recognizes that enterprise data architectures are evolving. Many organizations have adopted both data lake and data warehouse architectures to meet varied analytics needs of their data consumers. To facilitate, Qlik Compose brings together both data lake and data warehouse automation capabilities in one unified user interface, enabling you to plan and execute either project with ease.

  • Single, unified user experience
  • Multi-platform support
  • Simplified implementation

Built on industry-leading capabilities

  • Real-time change data capture

    Qlik Replicate™ provides the real-time change data capture (CDC) to generate streams of data into your managed data lakes.

  • Automation not coding

    Qlik Compose™ generates the necessary ELT code to standardize and combine change streams into a single analytics-ready data lake.

  • Data catalog and governance

    Qlik Data Catalyst® provides a secure, enterprise-scale catalog for all of your source and derived data sets in the lake and beyond.

  • Monitoring and control

    Qlik Enterprise Manager™ is your command center to configure, execute and monitor data replication and transformation tasks across the enterprise.

Learn more about our unique data lake capabilities for these leading platforms

“With Qlik, we’re able to better analyze immense data volumes from disparate applications – including our ecommerce, transactional and back office systems.”
Kiran Nagarur , Vice President, Data Science & Engineering, Fanatics
“Without Qlik, we could not have done the project since it would have been too costly for us in terms of development work.”
Christian Phan-Trong, Director Architecture, SwissLife
“With Qlik feeding the Azure Databricks data lake, we’re seeing more real-time data in J.B. Hunt 360, which gives shippers and carriers up-to-the-minute information on how they are performing. The combination of real-time data and insights we’re now experiencing is really helping advance the company’s expertise in supply chain technology.”
Joe Spinelle, Director of Engineering & Technology, J.B. Hunt

Get started with Qlik Data Integration for Managed Data Lakes.

Learn more about data lake pipelines and data ingestion for Hadoop data lakes.

Automate your data lake pipeline and increase the value of your data lake by delivering timely, high-quality and well-governed transactional data to the business. Accelerate data lake ingestion at scale from many sources into your Hadoop data lake.