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Hint: There is no easy answer, and no consensus either.
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Data pipelines were the headline from the third annual survey of Apache Kafka use. Behind anecdotal evidence of a growing user base, Kafka is still at the early adopter stage and skills remain hard to find.
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At its Inspire partner conference in Las Vegas, Microsoft announces big performance enhancements to its cloud data warehouse and new Enterprise/Big Data capabilities for Power BI.
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In a homecoming of sorts, cloud data warehouse pure-play Snowflake's product is no longer an AWS exclusive
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Will blockchain and cryptocurrencies prove to be the next killer app for smartphones? Sirin Labs is seeking to kick-start mass adoption by addressing security and usability issues in its pioneering handset.
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Vendor unleashes its third self-assessed innovation wave, providing visual cues to data trustworthiness as its being queried, both within the product and inside integrated partner tools.
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While Databricks' built its success on open source, until now, the primary path to its analytics platform has been through its own executable notebook. Will the new integration with RStudio start cracking the door open to other tools favored by data scientists?
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Software development has been fundamentally changing. It's following the data and going to the cloud. What should organizations be aware of to make the most of it?
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How do you resolve the tension between the need to build and deploy accurate machine learning models fast, and the need to understand how those models work, what data they touch upon, and what are the implications? Immuta says data governance is the answer.
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While it has become fashionable for operational databases to become multi-model, MongoDB has stuck to its knitting with the document model. But in the 4.0 release, it addresses some checkboxes on widely different sides of the database spectrum.
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