Data warehouse appliance technology news, help and research

Data warehouse appliance technology News

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.
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.
August 31, 2016 31 Aug'16
HPE adapts Vertica analytical database to world with Hadoop, Spark

Vertica 8.0 expands the analytical database's support for Kafka, Spark and Hadoop. That's an important step, as the Hewlett Packard Enterprise technology tries to compete in a field of diverse data tools.
July 21, 2016 21 Jul'16
Azure SQL Data Warehouse brings MPP to Microsoft cloud

As Azure SQL Data Warehouse reaches general availability, it brings massively parallel processing to a wider audience, and augers more competition in the cloud data space.

Bring yourself up to speed with our introductory content

Data warehousing design and value change with the times

Big data, the cloud and analytics profoundly shape data warehouse purpose and design. Learn how companies derive value from a repository that at times needs definition. Continue Reading
data warehouse

A data warehouse is a federated repository for all the data collected by an enterprise's various operational systems, be they physical or logical. Continue Reading
A buyer's guide to selecting the best data warehouse product

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

Weigh the pros and cons of technologies, products and projects you are considering.

Choosing a modern data warehouse to fit your data needs

Choosing the right modern data warehouse for your enterprise data is a large task. Here are the key evaluation points to consider when choosing your platform. Continue Reading
Evaluating data warehouse platform options and your need for one

There's still a place for data warehouses in data architectures. But first, ask whether your organization needs one and what type of technology platform is the best fit. Continue Reading
Data warehouse technologies evolve as vendors look skyward

The need for high-speed analytics and low latency are pushing data warehousing vendors to create and reinvent their platforms and, in some cases, reinvent themselves. Continue Reading

Learn to apply best practices and optimize your operations.

Analytics demands add loftier goals to data warehouse strategies

As the concept of storing data and the technologies needed to do it evolve, companies with set goals in mind are building their data warehouses to maximize analytics outcomes. Continue Reading
IT exec sets course for smooth sailing on BI, data warehouse projects

In a video Q&A, Sam Strum of Inttra details how the ocean shipping logistics company managed a business intelligence and data warehouse initiative. Continue Reading
The analytical advantages of an enterprise data warehouse system

Learn about the potential benefits of an enterprise data warehouse system for analytics uses. Also, find out about the data security issues and cost considerations of large data warehouses. Continue Reading

We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.

Why IT departments should consider a large data warehouse system

Find out how a large data warehouse system can benefit companies. Learn how enterprise data warehouses help meet business needs. Get tips on operational considerations for a central data warehouse. Continue Reading
Key issues to consider when building a data warehouse

There are numerous issues, both technical and cultural, that organizations need to consider before building a data warehouse. Learn what they are from our data warehousing expert. Continue Reading