Databases

Database news, information, and how-to advice

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3 major cloud migration mistakes to avoid

These three mistakes are costly, but they are also easily avoidable if you know what to look for

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How to create a Microsoft SQL Server failover cluster in the Google Cloud

A step-by-step guide to using SAN-less failover clustering software to support SQL Server’s Always On Failover Clustering in the public cloud

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Redis 5.0 introduces streams for in-memory abstract types

Redis's builders are calling streams the most complex type in the platform even if the data structure itself is simple

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5 reasons why your code is running so slowly—and how to fix it

Here’s how to address why the code runs well on your development machine but has totally borked in production

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How Arcadia Data brings self-service BI to the data lake

The data lake is a new approach to data management that requires a new approach to analytics

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When it comes to data, the interface matters as much as the information

Regulations like GDPR are getting headlines, but the song remains the same

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The era of the cloud database has finally begun

Enterprises are waking up to discover that their database needs have changed dramatically—and that the old-school RDBMS is no longer the best tool

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TigerGraph: The parallel graph database explained

How TigerGraph achieves fast data ingest, fast graph traversal, and deep link analytics even for large data sets

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GDPR may well kill enterprise blockchain databases

The secure ledger technology sounds like a godsend for all sorts of databases—until you examine how GDPR’s PII management gets in the way

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How to use Azure Cosmos DB in .Net

Take advantage of the Azure cloud’s fully managed, schema agnostic, NoSQL database-as-service for your .Net web applications

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The right way to pick a cloud database

Beware the database fan boys, who never want to move to a different database than what they have in the datacenter

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How to choose the right type of database for your enterprise

Choosing a database to serve your enterprise technology needs can be overwhelming. Start by understanding what databases are available and use this article to guide you to finding the right fit

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3 requirements of modern archive for massive unstructured data

As the nature and scale of enterprise data changes, secondary storage—especially archive—becomes a huge opportunity to add value to organizational data

App dev trends going hot -- and cold

21 hot programming trends—and 21 going cold

Hot or not? From the web to the motherboard to the training ground, get the scoop on what’s in and what’s out in app dev

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Database decisions: AWS has changed the game for IT

Enterprises are figuring out that they likely need different database engines to power different parts of their applications. AWS has figured that out, too

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Real-time data pipelines: pairing message queues and databases

Data leaders need to stay on top of the technologies of message queues and databases

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Navigating time in knowledge graphs

The temporal benefits of cognitive knowledge graphs can affect almost any business problem, including basic issues of data management such as data quality, data cleansing, and integration

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What is a graph database? A better way to store connected data

Learn why graph databases excel at exploring highly connected data, and how to leverage them in your organization

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