Automating Data Pipelines for Analytics-Ready Data Lakes (featuring Forrester)


  

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Data lakes hold the promise of enabling cost-effective and agile analytics. However, IT organizations struggle to meet business requirements because they lack the necessary ETL and Hadoop skills to create usable analytics data stores within data lakes. This affects their ability to meet time-sensitive SLAs for the business.

Watch this webinar to learn from speakers Noel Yuhanna, VP and Principal Analyst at Forrester, and Attunity, how to overcome these challenges, employ ‘Big Data Fabrics’ including Apache HIVE to scale your Big Data initiatives, and optimize the data pipeline for analytics-ready data lakes. We also explore how Attunity software automates data ingestion, Hive schema creation and continuous data store updates to realize faster value from data lakes.

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