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New Metadata-Only Column Changes in SQL Server 2016

SQL Performance

Ultimately, tables are stored as a sequence of bytes with some metadata elsewhere in the system to describe what each of those bytes mean, and how they relate to each of the table's various columns. It requires only a few changes to system tables, and a minimal amount of logging. Improvements in SQL Server 2016. Test2 ; GO.

Servers 63
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Performance Testing at MongoDB

Alex Podelko

Evergreen Continuous Integration: Why We Reinvented The Wheel , blog post from July 27, 2016, explains why and how it was done. These two papers provide many more insights: Automated system performance testing at MongoDB , DBTest 2020 [ Video ]. First, to set up the scene, MongoDB has its own Continuous Integration.

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MongoDB Rollback: How to Minimize Data Loss

Scalegrid

When a MongoDB rollback happens, it can cause trouble to your data integrity and system consistency. For example, memory-resident databases without persistent disks, such as Redis cluster setups or Apache Spark installations, rely on stand-alone machines.

Database 130
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Weekend Reading: Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases.

All Things Distributed

In many, high-throughput, OLTP style applications the database plays a crucial role to achieve scale, reliability, high-performance and cost efficiency. For a long time, these requirements were almost exclusively served by commercial, proprietary databases.

Database 117
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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 2016. or newer release.

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RSA Guide 2023: Cloud application security remains core challenge for organizations

Dynatrace

Log4Shell required many organizations to take devices and applications offline to prevent malicious attackers from gaining access to IT systems and sensitive data. As digital transformation escalates, vulnerabilities are increasing as well, by more than 290% since 2016.

Cloud 185
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How To Use systemd in Linux to Configure and Manage Multiple MySQL Instances

Percona

Why not just create another database on the same instance? We split databases by function/team to give each team full autonomy over their schema, And if someone screws up, it breaks their cluster, not all databases. So you put multiple MySQL servers on a single machine instead of multiple databases inside one MySQL instance.