Enterprise data warehouse management

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8 Worst Practices in MDM and How You Can Avoid Them

Master data management (MDM) depends on the alignment and partnership between business and IT because both groups are responsible for improving data quality, accuracy, and streamlining data sharing across the enterprise. To help your organization along the journey to a successful MDM program, here are 8 worst practices in MDM and how you can avoid them.

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Enterprise data warehouse management News

October 18, 2019 18 Oct'19
Databricks contributes Delta Lake to the Linux Foundation

Databricks has found a new home at the Linux Foundation for its open source Delta Lake data lake project, in a bid to help grow a broader community and accelerate adoption.
September 30, 2019 30 Sep'19
Cloud database services multiply to ease admin work by users

The list of vendors offering managed cloud database services is growing rapidly, which gives IT teams more opportunities to offload management of database systems.
September 25, 2019 25 Sep'19
Cloudera Data Platform gives big data users multi-cloud path

Cloudera released a big data platform combining its technologies and ones from Hortonworks, initially in the AWS cloud but with multi-cloud support to come.
September 05, 2019 05 Sep'19
Cloudera Data Platform to debut, as big data fortunes waver

The interim CEO of Cloudera is cautiously optimistic about growth prospects as the big data vendor acquired Arcadia Data and planned to bolster its own cloud platform.

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Enterprise data warehouse management Get Started

Bring yourself up to speed with our introductory content

What Is Data Management and Why Is It Important?

Data management is the process of ingesting, storing, organizing and maintaining the data created and collected by an organization, as explained in this in-depth look at the process. Continue Reading
Big data

Big data is a combination of structured, semistructured and unstructured data collected by organizations that can be mined for information and used in machine learning projects, predictive modeling and other advanced analytics applications. 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.

Future of MongoDB could be brighter than other NoSQL engines

Top NoSQL database MongoDB, once thought of as a revolution in data management, has come back to Earth some, but it still has a chance to stay ahead of competitors. Continue Reading
Third-party database tools boast attractive alternatives

For companies considering third-party database tools, this handbook provides expert advice on evaluating and deploying on-premises and cloud options from third parties. Continue Reading
Database management tools from third parties make natives restless

Third-party database performance tools offer attractive alternatives to management software from DBMS vendors, provided their capabilities include orchestration, governance and integration. Continue Reading

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Manage Enterprise data warehouse management

Learn to apply best practices and optimize your operations.

Managing unstructured data is crucial to enterprises' AI goals

Unstructured data makes up a huge portion of most businesses' data volume. But, with data-hungry AI systems coming online, making sense of these stores has never been more important. Continue Reading
How enterprises navigate GDPR data management rules

For businesses that operate in the European Union, complying with GDPR has to be a top priority. In many of these organizations, the burden is falling on the data management staff. Continue Reading
Worried about storing unstructured data? You're not alone

Most data being created today is unstructured, and storage pros often find themselves struggling to keep up. Luckily, efficient unstructured data storage is still possible. 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.

7 steps to a successful data lake implementation

Flooding a Hadoop cluster with data that isn't well organized and managed can stymie analytics efforts. Take these steps to help make your data lake accessible and usable. Continue Reading
Why data silos matter: Settling ownership of data issues

Data ownership is still seen as a task for IT -- but that can lead to data silos full of redundant information. Find out why you should put the business in charge of its data. Continue Reading
Four first steps for customer data management

Forrester's Mike Gualtieri details how to develop a unified plan to manage customer data that gives business users what they need to manage CRM programs. Continue Reading

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