For many organizations, data lakes have become a standard low-cost way to store data in the cloud or on-premises and enable self-service analytics. Despite its low cost benefits, the unfortunate reality is that many data lakes deployments don’t get beyond the pilot phase or achieve rapid return on investment. This is made more difficult by the trend towards a hybrid-cloud environment, requiring more holistic data discoverability across cloud and on-premises deployments.
Data lakes are only as valuable as the business insights they drive. Successful data lakes aren’t built just for the technology team, they empower analysts with trust, discoverability, and governed discovery across any source of data - in the cloud or on-premises.
In Lower the Barrier to Analyst Insights in the Governed Data Lake Matt Aslett, Research Director of 451 Research, discusses the importance of establishing trust and business context for a hybrid cloud data lake environment, and how to empower the business users to generate rich business driven insights to propel successful data lake deployments.
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Matt Aslett is a Research Director for the Data Platforms and Analytics Channel at 451 Research. Matt has overall responsibility for the data platforms and analytics research coverage, which includes operational and analytic databases, Hadoop, grid/cache, stream processing, search-based data platforms, data integration, data quality, data management, analytics, machine learning and advanced analytics.
Jason runs partner programs at Alation. His background includes product management, corporate development and engineering positions in hardware and software technology companies. Prior to Alation, he was principal product marketing manager at MongoDB.