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USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon

Brendan Gregg

As for attending USENIX conferences: I finally started attending and speaking at them in 2010 when a community manager encouraged me to (thanks Deirdre Straughan), and since then I've met many friends and connections, including Amy who is now USENIX President, and Rikki with whom I co-chaired the USENIX LISA18 conference.

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USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon

Brendan Gregg

As for attending USENIX conferences: I finally started attending and speaking at them in 2010 when a community manager encouraged me to (thanks Deirdre Straughan), and since then I've met many friends and connections, including Amy who is now USENIX President, and Rikki with whom I co-chaired the USENIX LISA18 conference.

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MariaDB vs MySQL: Key Differences and Use Cases

Percona

MariaDB is a popular SQL open source relational database management system that originated as a fork of MySQL after MySQL was acquired by Sun Microsystems in 2008 and later Oracle in 2010. Efficient data processing and indexing, making it optimal for executing queries and handling large datasets.

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Top Frontend Frameworks to use in 2022

Enprowess

Many of the software programs have a web version in some form or other. Usage of Virtual DOM allows efficient rendering where only certain part of webpage is rerendered speeding up performance. VueJS can be used to create Single Page Apps efficiently with fewer resources evident from its tiny package size. Let’s begin!!

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The Ultimate Guide to Open Source Databases

Percona

Instead, the business may design and redesign systems as customer expectations change and business objectives evolve. It stores data in documents and collections, a design ideal for handling large amounts of unstructured data. Those additions allow PostgreSQL to support workloads and schema designs that are more complex.

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Should You Use ClickHouse as a Main Operational Database?

Percona

However, ClickHouse is super efficient for timeseries and provides “sharding” out of the box (scalability beyond one node). Although such databases can be very efficient with counts and averages, some queries will be slow or simply non existent. Inserts are efficient for bulk inserts only. created_utc?? ?

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Data Mining Problems in Retail

Highly Scalable

Although these problems are very different, we are trying to establish a common framework that helps to design optimization and data mining tasks required for solutions. The design of the model heavily depends on the problem. This model helps to design targeted usage expansion campaigns. Propensity to category expansion.

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