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Expanding the Cloud: Introducing the AWS Asia Pacific (Mumbai) Region

All Things Distributed

AdiMap uses Amazon Kinesis to process real-time streaming online ad data and job feeds, and processes them for storage in petabyte-scale Amazon Redshift. Advanced problem solving that connects big data with machine learning. warehouses to glean business insights for jobs, ad spend, or financials for mobile apps.

AWS 80
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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.)

Hardware 101
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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

By 2021, a distributed cloud would help companies physically put all services closely together, thereby addressing low-latency challenges, minimising the expense of storage and ensuring that data standards are consistent with the laws in a given geographical region. 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. compose','xamarin','markdown','scrum','comic'] ? ? china','sourceforge','subscription','chinese','kotlin'] ? ? systemd','gitlab','autotldr'] ? ?