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Web Performance Bookshelf

Rigor

Take, for example, The Web Almanac , the golden collection of Big Data combined with the collective intelligence from most of the authors listed below, brilliantly spearheaded by Google’s @rick_viscomi. Javascript: The Ultimate Beginner’s Guide to Learn JavaScript Programming Step by Step. Javascript by Ryan Turner.

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Should You Use ClickHouse as a Main Operational Database?

Percona

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. And the results are (here I’m grouping words for each year): For “programming” subreddit: ??year???words??????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????

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Data Mining Problems in Retail

Highly Scalable

Customer retention programs can require the identification of customers who are likely to stop the relationship with a retailer but can change their minds under the influence of incentives. This metric reveals customers with high revenue potential, hence it can be used in loyalty programs and usage expansion campaigns. Smith, 2009.

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World’s Top Web Performance Leaders To Watch

Rigor

He has also hosted the NY Web Performance Meetup, which boasts over 5,000 members, since 2009. Rick is a senior developer programs engineer at Google, the host of “ The State of the Web ,” as well as the “steward” of HTTPArchive and Chrome UX Report. That’s right – NY WebPerf is 10 years old!