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Millions of tiny databases

The Morning Paper

Millions of tiny databases , Brooker et al., It takes you through the thinking processes and engineering practices behind the design of a key part of the control plane for AWS Elastic Block Storage (EBS): the Physalia database that stores configuration information. Engineering decisions involve making lots of trade-offs.

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SQL Server On Linux: Forced Unit Access (Fua) Internals

SQL Server According to Bob

SQL Server relies on Forced-Unit-Access (Fua) I/O subsystem capabilities to provide data durability, detailed in the following documents: SQL Server 2000 I/O Basic and SQL Server I/O Basics, Chapter 2. Be sure to deploy SQL Server 2017 CU6 or newer for best data durability and performance results. “. The Back Story.

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SQL 2016 – It Just Runs Faster Announcement

SQL Server According to Bob

SQL Server 2016 ‘It Just Runs Faster’ A bold statement that any SQL Server professional can stand behind with confidence. Try SQL Server 2016 Today. The SQL Server Development team tasked several individuals with scalability improvements and real world testing patterns. – [link]. Follow-up.

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Cloudy with a high chance of DBMS: a 10-year prediction for enterprise-grade ML

The Morning Paper

Many of the software engineering discipline and controls need to be brought over into an ML context. Inference (scoring) engines will be deployed everywhere, and ML scoring will be deeply integrated into the DBMS "as a foundational extension of relational algebra, and an integral part of SQL query optimizers and runtimes."

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SQL 2016 – It Just Runs Faster: DBCC Scales 7x Better

SQL Server According to Bob

SQL Server 2016 changes the internal design to (CheckScanner), applying no lock semantics and a design similar to those used with In-Memory Optimized (Hekaton) objects, allowing DBCC operations to scale far better than previous releases. The following chart shows the same 1TB database testing. SQL Server. SQL Server 2014.

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Microservices Adoption in 2020

O'Reilly

Software engineers comprise the survey audience’s single largest cluster, over one quarter (27%) of respondents (Figure 1). software and systems architects, technical leads—architects represent almost 28% of the sample. Use of a Central, Managed Database. Respondent Demographics. Figure 2: Respondent industries.

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