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Structural Evolutions in Data

O'Reilly

It progressed from “raw compute and storage” to “reimplementing key services in push-button fashion” to “becoming the backbone of AI work”—all under the umbrella of “renting time and storage on someone else’s computers.” ” (It will be easier to fit in the overhead storage.)

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Even more amazing papers at VLDB 2019 (that I didn’t have space to cover yet)

The Morning Paper

Autoscaling tiered cloud storage in Anna. Hyper Dimension Shuffle describes how Microsoft improved the cost of data shuffling, one of the most costly operations, in their petabyte-scale internal big data analytics platform, SCOPE. BlockchainDB – it’s a blockchain underneath, and a database on top.

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Software Testing Trends 2021 – What can we expect?

Testsigma

The implementation of emerging technologies has helped improve the process of software development, testing, design and deployment. of companies invest over US$ 50 million in initiatives such as Artificial Intelligence (AI) and Big Data in 2020, up from 39.7% Blockchain Tests. Automation to Enhance AI Security Defence.

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Should You Use ClickHouse as a Main Operational Database?

Percona

In a partitioned massively parallel database system, the storage format and sorting algorithm may not be optimized for that operation as we are reading multiple partitions in parallel. At the same time, it was not originally designed that way. compose','xamarin','markdown','scrum','comic'] ? ? systemd','gitlab','autotldr'] ? ?