Enterprise data architecture best practices

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Enterprise data architecture best practices 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 21, 2018 21 Mar'18
Kubernetes gains momentum in big data implementation process

Big data vendors and users are looking to Kubernetes-managed containers to help accelerate system and application deployments and enable more flexible use of computing resources.

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Enterprise data architecture best practices 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
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
Apache Hadoop YARN

Apache Hadoop YARN is the resource management and job scheduling technology in the open source Hadoop distributed processing framework. Continue Reading

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Evaluate Enterprise data architecture best practices Vendors & Products

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

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
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
Expert: For BI, you must know the data integration process

Understanding the data integration process is central to self-service BI and data architecture design, consultant Rick Sherman says in an end-of-year look at data management trends. Continue Reading

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Manage Enterprise data architecture best practices

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
IT teams take big data security issues into their own hands

Data security needs to be addressed upfront in deployments of big data systems -- and users are likely to find they have to build some security capabilities themselves. Continue Reading

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Problem Solve Enterprise data architecture best practices Issues

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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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