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    Enterprise are particularly valuable for cloud-based data warehouse modernization.

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    RT AWSOpen : RT apachehudi: Checkout how you can use to ingest data from the awscloud Database Migration Service!! (Special thanks to AWSOpen for the credits to support this work)

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    We held our first for the year on Thursday. It was an amazing evening with interesting topics on; different presented by Ramona Mohan, Type-rich programming in c# by Denys Safronov, by Stephen Ford and of course some icebreakers by Rosy Henderson

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    Download this white paper to learn the nine imperatives for intelligent data lake management and how data lakes can transform your industry.

  6. 30. sij

    In today’s digital-first economy, the high volume & velocity of has given rise to . solutions allow you to analyze and organize data to deliver rich experiences. Learn more with only at . Register Now

  7. 31. sij

    The work behind the buzzwords - 's write-up with tips of how to start with data puddles rather than jumping straight into - if you're working on a legacy data stack, take a look and avoid treading-water/drowning!

  8. 29. sij

    Diving into at the Buffalo Innovation Center!

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    Early adopters of have hit a ceiling as a result of limitations in .

  10. 4 Steps to Ensure Data Lakes Can Help Officials Make Informed Decisions via

  11. 30. sij

    notes that savvy marketers are moving to all-inclusive customer platforms or , integrating data across the whole experience and across all channels.

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    DigitalTwin, and semantic tagging - the is spiked with technical terms. expert Tyson Soutter developed a glossary on some important terms to create some unity within the industry - find it here:

  15. 30. sij
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    How is solving challenges with - All Things Distributed by

  17. 31. sij
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    Many organisations have their locked away in existing/legacy systems and struggle to liberate or integrate that data to inform their decision making and improve performance. Dive in here and find out how you can utilise for your company:

  19. 3. velj

    A centralized data management that integrates all corporate must be the first step of a new stage

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