Now On-Demand


When you join this deep dive with Qlik and Databricks you will learn more about our joint solutions for data ingestion, application, cataloging, and analytics.

During the session we will showcase the solutions being leveraged by Qlik and Databricks clients to load data into Delta, which includes Replicate and Compose for Data Lake generation, Delta Merge statements, Cataloging the system, and querying data in Qlik Sense for Analytics. In this session you will see how an agile approach to data lake creation can help you realize higher efficiency and faster ROI from your data lake initiatives.

You’ll learn the advantages of decoupling your legacy on-premise data into operationalized Lakehouses and see how data professionals like you are having an impact – lowering costs, improving time-to-insights, and more.

During this deep dive session, we will explore:

  • Data Lake challenges and opportunities
  • Decoupling on-premises legacy data
  • End-to-end data pipelines with Qlik and Databricks
  • Building a performant Data Lake
  • Technology gaps and requirement to watch for
  • Agile DataOps for Data Lake creation
  • Qlik and Databricks in-action demonstration
  • Top 5 take-aways for success

Register today

Agenda


  • Data Lake challenges and opportunities
  • Decoupling on-premises legacy data
  • End-to-end data pipelines with Qlik and Databricks
  • Technology gaps and requirement to watch for
  • Agile DataOps for Data Lake creation
  • Qlik and Databricks in-action demonstration
  • Q&A

SPEAKERS


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Prasad Kona
Senior Partner Solutions Architect
Databricks

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Jordan Martz
Principal Solutions Architect
Qlik

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Damien Edwards
Analytics Data Architect
Qlik

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Ravi Kukkamalla
Analytics Data Architect
Qlik

Questions? Contact us at [email protected]