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Ensuring Performance, Efficiency, and Scalability of Digital Transformation

Alex Podelko

And we still have a lot of great sessions covering other hot topics: digital transformation, security, AI, machine learning, blockchain, etc. – Performance engineering as it done at Alibaba – which emerging as a major cloud provider. Meeting of the Minds: Performance Engineering. a Panel Discussion.

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Software Testing Trends 2021 – What can we expect?

Testsigma

According to Gartner, the greatest technological developments in 2021 will influence the future from technology affecting how people operate, to AI engineering and hyperautomation. This obligated QA engineers, in particular, to pay more attention to the user interface. Blockchain Tests. Signup for free now. billion in 2020.

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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. A workflow engine to drive business decisions. We are at the cusp of a dramatic age of technology.

AWS 90
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Even more amazing papers at VLDB 2019 (that I didn’t have space to cover yet)

The Morning Paper

AliGraph covers Alibaba’s distributed graph engine supporting the development of new GNN applications. 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!). .” So it’s great to see some papers from Alibaba and Tencent here.

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Should You Use ClickHouse as a Main Operational Database?

Percona

Actually, we can simulate an additional index set by creating a materialized view in ClickHouse : create materialized view rc_id_v ENGINE MergeTree() PARTITION BY toYYYYMM(toDate(created_utc)) ORDER BY (id) POPULATE AS SELECT id, created_utc from rc; Here I’m creating a materialized view and populating it initially from the main (rc) table.

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Structural Evolutions in Data

O'Reilly

” Web3 has similarly progressed through “basic blockchain and cryptocurrency tokens” to “decentralized finance” to “NFTs as loyalty cards.” Each time, the underlying implementation changed a bit while still staying true to the larger phenomenon of “Analyzing Data for Fun and Profit.”