Data lake projects often fail to produce a return on investment because they are complex to implement, need specialized domain expertise and take months or even years to roll out.
As a result, data engineers waste time on ad-hoc data set generation and data scientists not only lack confidence in the provenance of the data, but struggle to derive insights from outdated information.
Qlik Compose™ for Data Lakes (formerly Attunity Compose for Data Lakes) automates the creation and deployment of pipelines that help data engineers successfully deliver a return on their existing data lake investments.
With the no-code approach from Qlik (Attunity), data professionals implement data lake creation in days, not months, ensuring the fastest time to insight for accurate and governed transactional data.
Data lake failures often use a single zone for data ingest, query and analysis. Qlik Compose for Data Lakes mitigates this problem by promoting a multi-zone, best-practice approach.
Realize faster value by automating data ingestion, target schema creation, and continuous data updates to zones.
Change data capture (CDC) technology delivers only committed changes made to your enterprise data sources to your data lake without imposing additional overhead on the source system or data lake infrastructure.
Understand, utilize and trust data flows with the help of a centralized metadata repository.
The central command center helps you configure, execute and monitor data pipelines across the enterprise.
Accelerate data ingestion at scale from many sources into your data lake. Qlik’s easy and scalable data ingestion platform supports many source database systems, delivering data efficiently with high performance to different types of data lakes.