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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. ITIL Version 4 Capacity and Performance Management in an Agile Container World by Chris Molloy, IBM. Meeting of the Minds: Performance Engineering. a Panel Discussion. Or can you?

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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.”

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

The Morning Paper

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. The authors claim a two orders-of-magnitude performance improvement. speedup over the best performing existing method.

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Software Testing Trends 2021 – What can we expect?

Testsigma

The latest trend in hyperautomation – Gartner projects that by the year 2023, 25% of tasks by the organisations will be able to perform autonomously and hence reducing the cost. 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.

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Should You Use ClickHouse as a Main Operational Database?

Percona

With the latest ClickHouse version, all of these features are available, but some of them may not perform fast enough. Currently, an issue has been opened to make the “tailing” based on the primary key much faster: slow order by primary key with small limit on big data. Updating a single message in the past (e.g.