Qlik® Data Lake Creation
Automated data lake creation
A zero-code, model driven approach for quickly designing, building, and managing data lakes on-premises or in the cloud.
Real-time Data Streams
Get support for all major data sources with hyper fast real-time data ingestion.
Process and refine raw data
Automate the standardization of data so it’s usable in your data lake the moment it is available.
KEY RESOURCE
Work with an Industry Leader for Data Integration Tools
See why Qlik® and Talend® are Leaders in the Gartner® Magic Quadrant™ for Data Integration Tools.
Leverage 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.
Refine automatically and continuously
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. Data consumers get rapid access to trusted data, including full lineage, without needing to understand the automated structuring that has taken place.
Count on trusted, enterprise ready data
Qlik delivers 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 all major enterprise data sources to gain insights.
Support flexible architectures
Qlik brings together both data lake and data warehouse automation into one unified user interface. You can plan and execute either project with ease.
Get maximum choice and deployment flexibility
The Qlik Talend® Data Integration & Quality platform is cloud and analytics vendor agnostic to offer you maximum choice and deployment flexibility when deciding where to store, transform, and analyze your data.
Spend more time working with data than preparing it
To truly automate and manage cloud data lake operations you need an industry leading set of capabilities to ensure your teams spend more time working with data instead of preparing it.