Remove 2016 Remove Big Data Remove Data Warehouse
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The 2016 Crystal Ball – What’s Next in Data?

Alation

With the year coming to a close, many look back at the headlines that made major waves in technology and big data – from Spark to Hadoop to trends in data science – the list could go on and on. 2016 will be the year of the “logical data warehouse.”

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Why Open Table Format Architecture is Essential for Modern Data Systems

phData

Versioning also ensures a safer experimentation environment, where data scientists can test new models or hypotheses on historical data snapshots without impacting live data. Note : Cloud Data warehouses like Snowflake and Big Query already have a default time travel feature. FAQs What is a Data Lakehouse?

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Will Google’s Bard Replace Oracle and SnowFlake?

Mlearning.ai

Back in 2016 I was trying to explain to software engineers how to think about machine learning models from a software design perspective; I told them that they should think of a database. Both serve as a means of storing representations of historical data, which can later be queried. Library, primitive data storage solution.