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Data warehouse software News
December 01, 2017
After Cyber Monday, Amazon Web Services techies headed for re:Invent 2017. There, among a deluge of cloud product announcements by AWS, the Amazon Neptune graph database surfaced.
July 12, 2017
Spirited competition is under way among cloud providers as they enhance large-scale relational data warehouses in the cloud. An Azure SQL Data Warehouse update by Microsoft is the latest example.
December 02, 2016
Amazon's Athena data engine brings interactive SQL queries to S3 data sets and lets users pay as they go. It's based on an open source framework called Presto that Teradata and others also employ.
September 30, 2016
The big data movement has frozen out many data professionals who are versed in SQL. Microsoft's U-SQL programming language tries to get such folks back in the data querying game.
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Semantic technology is a set of methods and tools that provide advanced means for categorizing and processing data, as well as for discovering relationships within varied data sets. Continue Reading
Big data analytics is the process of examining large and varied data sets -- i.e., big data -- to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help organizations make ... Continue Reading
With several deployment options and product choices, it's difficult to know where to start. This buyer's guide helps you choose the right data warehouse product for your company. Continue Reading
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GPU databases offer a new way to process data. 451 Research analyst James Curtis discusses where they fit in big data applications, particularly for parallel processing. Continue Reading
Amazon's Neptune database may change the status quo in the graph technology world. But it could also introduce a wider base of possible users to graph databases, existing vendors say. Continue Reading
Ignite 2017 and the Microsoft data portfolio are the topics of this edition of the Talking Data podcast. On tap is a closer look at Azure Cosmos DB. Continue Reading
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Siloed data isn't only a problem for businesses. It's also a big issue for many large universities -- one that their data infrastructures need to resolve for effective analytics. Continue Reading
The crush of big data leads some data pros to seek more automation of data integration processes. The Pentaho software platform now offers metadata injection capabilities to help meet such needs. Continue Reading
In simple terms, successful analytics depends heavily on how well the information is prepared. Except it's not that simple. Many data scientists believe preparation of data for analysis is the biggest challenge they face, and it's all the more ... Continue Reading
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Fact tables and dimension tables are used together in star schemas to support data analytics applications. But they play different roles and hold different types of data. Continue Reading
Operational data stores and data warehouses both store operational data, but the similarities between them end there -- and they both have a role to play in analytics architectures. Continue Reading
In a video interview, consultant Claudia Imhoff discusses the increasing need to augment data warehouses with technologies such as Hadoop and real-time analytics systems. Continue Reading