Increase Data Lake ROI with Streaming Data Pipelines

Data lakes have emerged as an attractive complement to traditional data warehouses because they store masses of structured and unstructured data in native formats until analytical needs arise. However, many enterprises struggle to realize the expected return on data lake investments due to the unexpected challenges associated with data quality, data governance and data immediacy. This paper discusses how to automate your data lake pipeline to address these challenges and stop pristine data lakes devolving into useless data swamps.

Qlik provides automated data lake pipelines that accelerate and streamline your data lake ingestion efforts, enabling IT to deliver more data, ready for agile analytics, to the business.

This whitepaper covers the following:

• Data lake origins and challenges including hybrid data integration, multiple data source platforms, and lakes both on premises and in the cloud.
  
• Real-time integration, with change data capture technology that integrates live transactions with the data lake.
• Rethinking the data lake with multi-stage methodology, continuous data ingestion and merging processes that assembles a historical data store.
• Leveraging a scalable and autonomous streaming data pipeline to deliver analytics ready data sets.