Building and operating a data lake requires substantial investment in skills, technologies, and services. However, the activities of putting data into the data lake don’t create value. They only create databases. And ingestion-only data lakes are the failures that have developed into “data swamps” or “data dumps.”

Data lakes create value only when the data stored in them is used to inform or automate actions to drive business decisions. Yet many companies that lament poor data lake ROI are simply storing data into data lakes. Ingesting data into the data lake is certainly important, but only the beginning. Equally critical is a managed approach including landing, storing, provisioning, and cataloging data in order to make it usable and accessible for data consumers.

This Eckerson Group webinar features a live demo from Qlik to learn the strategies and tactics required to create value from your data lake including:

- Three layers and twelve components of the data lake value chain.

- The role of change data capture to efficiently deliver real-time and low latency data to the data lake.

- The power of data pipeline automation to reduce the complexity of moving data to and through the data lake.

- The role of a data catalog in driving trust in and usability of the data lake.

- The capabilities of data lake automation technologies to create successful, valuable, and agile data lakes.

Sponsor: Qlik