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Data lakes started as a place for big data discovery and exploration for highly technical users. However, as security, data governance, and analytics have evolved, leading organizations have deployed data lakes to support a wide variety of business use cases, assisted by machine learning and artificial intelligence, visual analytics, BI tools, and other methods.
Many attempts at building data lakes have failed due to process and technology mismatches. To overcome challenges and progress toward gaining higher value from data, organizations need to learn from the experiences of peer organizations and apply improved practices and technologies.
Join us for this webinar with industry experts from TDWI, Arcadia Data, and Hortonworks to learn:
Sponsored by Arcadia Data, Hortonworks
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