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

All Things Distributed

Seamless ingestion of large volumes of sensed data. 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. We want you to start using it today.

AWS 90
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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.” And Hadoop rolled in. The elephant was unstoppable.

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

The Morning Paper

Their dataset has about 7B edges… Meanwhile, AnalyticDB is Alibaba’s real-time OLAP RDBMS handling 10PB of data (in excess of 100 trillion rows!). Autoscaling tiered cloud storage in Anna. BlockchainDB – it’s a blockchain underneath, and a database on top. Research papers. (In In random order!).

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Software Testing Trends 2021 – What can we expect?

Testsigma

When more companies transition into digital-first projects, there must be an expanded number of processes and IT data departments to keep IT teams on track. 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. billion in 2020.

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Should You Use ClickHouse as a Main Operational Database?

Percona

In my case, I’m using this data as a simulation of text messages, and will show how we can use ClickHouse as a backend for an API. Loading the JSON data to Clickhouse. Updating / deleting data in ClickHouse. Vadim published a blog post about analyzing reddit comments with ClickHouse. toDate(min(created_utc))???toDate(max(created_utc))??????count()??