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Enterprise data architecture best practices News
January 22, 2019
Cloud architecture, analytics and AI data processing are top innovation priorities for new Teradata CEO Oliver Ratzesberger. He talks about his goals in this Q&A.
December 28, 2018
Better data governance, increased cloud use and wider DataOps adoption head the list of trends for data management teams to plan for in 2019, IT analysts say.
December 18, 2018
Datawatch plans to add analytics and data visualization tools to its Swarm data preparation platform, starting with integration capabilities in a Swarm 2.2 release.
November 30, 2018
Built-for-purpose databases target general ones, especially in the cloud. At re:Invent 2018, AWS added time-series and transaction ledger databases to expand its line.
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Data analytics (DA) is the science of examining raw data with the purpose of drawing conclusions about that information. Continue Reading
A data mart is a repository of data that is designed to serve a particular community of knowledge workers. Continue Reading
As companies add machine learning applications, they need to really understand -- and be able to improve -- their data. That's where data quality initiatives come in. Continue Reading
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It's the start of a new year -- is your organization ready to face the data management challenges ahead? Here are five technologies to consider adopting. Continue Reading
Graph databases specialize in mapping relationships in data sets, particularly complex ones. We explore how they work and the applications they're suited for. Continue Reading
Graph databases are finding a place in analytics applications at organizations that need to be able to map and understand the connections in large and varied data sets. Continue Reading
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Expert David Loshin explores the differences between static and dynamic indexing in master data management systems, and which queries each approach can support. Continue Reading
Big data platforms stumbled a bit getting out of the prototyping stage. But a view from the Strata Data Conference in New York sees broader use in the offing. Continue Reading
BI on Hadoop is still new, but moving BI to data is trending. A data scientist working with IoT data at Komatsu sees the importance of getting big data to the right people. Continue Reading
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Forrester's Mike Gualtieri details how to develop a unified plan to manage customer data that gives business users what they need to manage CRM programs. Continue Reading
What's the difference between DDL and DML? Get the answer and see examples of data manipulation language and data definition language commands for SQL databases. Continue Reading
Data integration processes that aren't managed properly can create inconsistent data in BI and analytics applications. Here are some steps to avoid that problem. Continue Reading