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Rethinking data architectures for a cloud world

Rethinking data architectures for a cloud world
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Dremio shifts analytics processing from data warehouse to data lake to speed up self-service


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Data warehouses have proven to be great repositories for enormous amounts of critical information, but the process of preloading data into the necessary structure to run business analytics workloads can take weeks. One startup company has found a way to change that model by delivering sub-second query response times using cloud data lakes instead.
Dremio Inc. is a next-generation data lake engine designed to deliver self-service access and super-fast queries directly on Amazon Web Services Inc., Microsoft Azure or private cloud data lake storage. By using in-memory caching architected into the S3 format, Dremio can dramatically accelerate data access and bypass the time-consuming extract/transform/load or ETL process common to data warehouses. ....

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Data-driven 2021: Predictions for a new year in data, analytics and AI


Data-driven 2021: Predictions for a new year in data, analytics and AI
A tumultuous 2020 has had many in the industry pondering what comes next, yielding almost 50 pages of predictions, from more than 30 companies, delivered to my inbox. Here s a roundup of many of the 2021 predictions, broken down into the topics that garnered the most conjecture.
December 31, 2020 14:00 GMT (06:00 PST)
| Topic: Big Data Analytics
Towards the end of each year, I receive a slew of predictions, from data/analytics industry executives and luminaries, focused on the year ahead. This year, those predictions filled a 49-page-long document. 
While I couldn t include all of them, I ve rounded up many of this year s prognostications, from over 30 companies, in this post. The roster includes numerous well-known data/analytics players, including ....

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