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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. You can take advantage of this effort packaged in SQL Server 2016. SQL 2016 supports 3X more physical memory than previous versions. – [link].

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

SQL Server According to Bob

Internally DBCC CHECK* uses a page scanning coordinator design (MultiObjectScanner.) 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.

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How It Works (It Just Runs Faster): Non-Volatile Memory SQL Server Tail Of Log Caching on NVDIMM

SQL Server According to Bob

Note: We received feedback that there was some confusion on us calling this functionality “tail of the log caching” because our documentation and prior history has referred to the tail of the log as the portion of the hardened log that has not been backed up. Create / Alter Database … LOG ON. Tail Of Log Caching.

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The Performance Inequality Gap, 2021

Alex Russell

Back in 2016, I gave a talk outlining the causes and effects of the terrible performance of web apps built using popular tools on the fastest-growing device segment: low-end to mid-range Android phones. A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage.

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Headless WordPress: The Ups And Downs Of Creating A Decoupled WordPress

Smashing Magazine

When it comes down to how WordPress is programmed, one thing is certain: it doesn’t follow the M odel- V iew- C ontroller (MVC) design pattern that many developers are familiar with. on December 6th, 2016. Security concerns. So, What Exactly Is A Decoupled WordPress? Working With WordPress REST API. Setting Up A Project. post_slug ||

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MariaDB vs MySQL: Key Differences and Use Cases

Percona

Before we dive into the differences between MariaDB and MySQL, we will provide a thorough examination of each relational database management system (RDBMS). While originally designed to be a drop-in replacement for MySQL, it evolved into its own distinct database management system and is now maintained and supported by the MariaDB Foundation.

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AMD EPYC Processors in Azure Virtual Machines

SQL Performance

The L3 cache size is 64MB. Both of these Intel processors are special bespoke models that are not in the Intel ARK database. The slightly newer Intel Xeon E5-26xx v4 (Broadwell) series which was introduced in Q1 of 2016, increased that to 2400MHz. The L3 cache size is 64MB. lanes for I/O connectivity. Azure Lsv2 Details.

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