Enterprise data warehouse management

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Enterprise data warehouse management News

June 18, 2018 18 Jun'18
Hortonworks cloud options grow via Google, Microsoft, IBM

Hortonworks now supports Google Cloud Storage and has also broadened cloud deals with Microsoft and IBM, aiming to increase cloud uses of its big data platform.
June 14, 2018 14 Jun'18
Quantum computing applications creep forward

Tech vendors and users are moving forward on quantum computing tools and research. While still futuristic, developments bear watching, Forrester's Brian Hopkins says.
April 17, 2018 17 Apr'18
Teradata applies time series analytics tools to IoT data

Data warehouse pioneer Teradata looks to ease IoT data analysis with capabilities that address skills gaps on time series analytics techniques, which are coming more to the fore.
March 30, 2018 30 Mar'18
Oracle Autonomous Database debut heralds new cloud hopes

It wasn't the first in the cloud computing space, but Oracle is all in now. Key to the effort is a new Autonomous Database service, initially available for data warehousing uses.

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Enterprise data warehouse management Get Started

Bring yourself up to speed with our introductory content

What goes into a customer analytics data integration framework

Customer data integration is a minefield for IT teams to navigate. But incorporating a set of core technical functions into an integration architecture can ease the process. Continue Reading
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
Hadoop

Hadoop is an open source distributed processing framework that manages data processing and storage for big data applications running in clustered systems. Continue Reading

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Evaluate Enterprise data warehouse management Vendors & Products

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

Why Spark DataFrame, lazy evaluation models outpace MapReduce

Learn how the Spark DataFrame execution plan works and why its lazy evaluation model helps the processing engine to avoid the performance issues inherent in Hadoop MapReduce. Continue Reading
Starburst finds new worlds to conquer with SQL query engine

Relational databases may have hit a wall of late, but the SQL query engine seems poised for wider growth. Starburst, a retro startup of sorts, is among those looking to take it wider still. Continue Reading
AP uses data collaboration platform to spread data journalism

Data journalism reporters need tools that deliver quick context for stories on deadline. A data collaboration platform from data.world helps the Associated Press meet such needs. Continue Reading

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Manage Enterprise data warehouse management

Learn to apply best practices and optimize your operations.

Evolving data integration strategies target new analytics needs

Most companies don't have a shortage of data, but it's often stored in siloed systems or inconsistent formats -- problems that data integration programs need to address. Continue Reading
Distributed SQL database wagered on for scalability boost, GDPR

CockroachDB is a distributed database system that seeks to support processing on a global scale, a need that online gambling company Kindred Group hopes it can meet. Continue Reading
IoT, edge computing spawn new security issues

As real-time big data increasingly hitches up to internet of things, edge computing power and fog nodes, a whole new layer of security threats emerges. Continue Reading

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Problem Solve Enterprise data warehouse management Issues

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

Data integration techniques to help keep BI data consistent

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
Kubernetes container orchestration gets big data star turn

The new thing in big data is Kubernetes container orchestration. While it's still early, there are signs of activity, which are cited in this edition of the Talking Data podcast. Continue Reading
Seven steps to a successful data lake implementation

Flooding a Hadoop cluster with data that isn't organized and managed properly can stymie analytics efforts. Take these steps to help make your data lake accessible and usable. Continue Reading

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