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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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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 120
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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. Data-bearing members face a higher risk of encountering issues caused by rollbacks, compared to others who utilize different storage methods.

Database 130
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Using JSONB in PostgreSQL: How to Effectively Store & Index JSON Data in PostgreSQL

Scalegrid

Why should a relational database even care about unstructured data? Often times an external system is providing data as JSON, so it might be a temporary store before data is ingested into other parts of the system. JSON database in 9.2 It is useful to validate incoming JSON and store in the database. JSONB Indexes.

Storage 321
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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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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.

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What is? OpenTelemetry??An open-source standard for logs, metrics, and traces

Dynatrace

Loosely defined, observability is the ability to understand what’s happening inside a system from the knowledge of the external data it produces, which are usually logs, metrics, and traces. Logs are important because you’ll naturally want an event-based record of any notable anomalies across the system. Watch webinar now!