Data warehouse software

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Data warehouse software News

December 01, 2017 01 Dec'17
AWS graph database Amazon Neptune sets sail at re:Invent 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 12 Jul'17
Azure SQL Data Warehouse turns up the heat, expands processing power

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 02 Dec'16
Amazon ushers in pay-by-query pricing with Athena data engine

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 30 Sep'16
Azure Data Lake Analytics gets boost from U-SQL, a new SQL variant

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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Data warehouse software Get Started

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Google Cloud data lake fuels cloud payment processing flow

To create a cloud payment processing system, Global Payments first had to deploy a data lake in the Google Cloud. Getting quick user feedback was another early step. Continue Reading
semantic technology

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

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

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Evaluate Data warehouse software Vendors & Products

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GPU databases bring greater parallelism to big data processing

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 Neptune database validates graph technology, rivals say

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
Expect big data doings at upcoming Microsoft Ignite conference

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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Data analytics architecture must break down higher ed silos

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
Metadata injection marks Pentaho big data pipeline

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
Effective analytics depends on preparation of data

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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Dimension tables vs. fact tables: What's the difference?

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 store vs. data warehouse: How do they differ?

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
Imhoff: Data warehouse architecture must go beyond the traditional

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

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