Qlik Releases New Streamlined Big Data Offerings

Qlik is releasing two new big data offerings - the latest version of the Podium Data product and the initial release of Qlik’s Associative Big Data Index available this month. With these latest releases, Qlik continues to streamline the enterprise data journey from raw data source to end user insights.

“Qlik is committed to improving enterprise data readiness and analytics scale,” said Mike Potter, Qlik CTO. “Delivering a new version of Podium alongside the first version of the Qlik Associative Big Data Index is a clear signal to the market: Qlik is ready to help customers drive more value from all of their data across their entire user base - whether big, small, or any combination thereof.”

The latest release of the Podium Data product contains many new features to help users derive more insights and benefit from Podium’s smart data catalog. Two key aspects, the new catalog module and intelligent rules engine, both accelerate time-to-answers for all users who rely on data.

Podium’s smart data catalog now delivers richer search and data drill-down capabilities. New Operational, Quality and Popularity data metrics within the smart data catalog give users an Amazon-like shopping experience when searching, browsing, previewing and choosing information from the data marketplace.

The Intelligent Rules Engine is based on the open source Drools rules management system, Podium’s code-free, customizable rules engine analyzes incoming data and takes appropriate action based on outcome.

 For example, this feature can be used for intelligent data identification and action on sensitive data such as personally identifiable information (PII), PCI data, and data subject to GDPR regulations. Other examples include the ability to automatically launch custom scripts or send notifications to data stewards when unusual data patterns are observed.

The Qlik Associative Big Data Index delivers Qlik’s patented associative experience on top of extremely large-scale data sources, allowing users to freely explore and search big data repositories, including full access to all the underlying details, while leaving the data where it resides.

The platform includes the ability to:

  • Continuously provide a complete, up-to-date view of the data since the index immediately updates alongside data source updates;
  • Leverage Docker containers, allowing organizations to be platform agnostic and freeing them from being tied to a single big data repository and related strategy;
  • Distribute processing across a cluster to maximize performance using Kubernetes to tackle even the largest scale data sources.

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