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Memory-Optimized TempDB Metadata in SQL Server 2019

SQL Shack

By removing disk-based storage and the challenge of copying data in and out of memory, query speeds in SQL Server can be improved by orders of magnitude. Introduction In-memory technologies are one of the greatest ways to improve performance and combat contention in computing today.

Servers 79
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DBaaS Pros & Cons

Scalegrid

Data Center Dynamics highlights a significant uptick in DBaaS adoption, growing from 40% to 45% between 2019 and 2020. This blog post will explore some of the major challenges in database management that businesses can expect, especially when transitioning from traditional database servers. Your data will always be intact.

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Stuff The Internet Says On Scalability For February 1st, 2019

High Scalability

Glacier is cheap because it isn't "always ready" storage. ludovicc : We spent many years to remove stored procedures and put business logic in an application server, why do you want to go back to that? There are TRADEOFFS YOU HAVE TO CONSIDER. and if/when you REALLY need the data, you're gonna be waiting a long time.

Internet 146
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USENIX LISA2021 Computing Performance: On the Horizon

Brendan Gregg

AWS Graviton2); for memory with the arrival of DDR5 and High Bandwidth Memory (HBM) on-processor; for storage including new uses for 3D Xpoint as a 3D NAND accelerator; for networking with the rise of QUIC and eXpress Data Path (XDP); and so on.

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Expert MariaDB: Utilize MariaDB Server Effectively - Percona Live ONLINE Talk Preview

Percona Community

Wed) Level: Intermediate Abstract MariaDB Server 10.4 has been out for some time now (June 2019) and it has many new features, some of which MySQL does not have. Feature-wise, it is important to know what MariaDB Server 10.4 (Wed) • New Delhi 8:30 a.m.

Servers 52
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Finding Distinct Values Quickly

SQL Performance

This follow-up post revisits the question for SQL Server 2019, using a larger number of rows. It has 32GB RAM, with 24GB available to the SQL Server 2019 instance. It would be nice if SQL Server could push the aggregation down into the scan and just return distinct values from the column store directly.

Servers 86
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USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon

Brendan Gregg

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory.