Big data management
Big data management is the organization, administration and governance of large volumes of both structured and unstructured data.. See complete definition.
New & Notable
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.
Big data management News
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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.
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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.
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August 20, 2019
20
Aug'19
Enterprise data marketplace aims to ease self-service chaos
Self-service data preparation can duplicate work and slow down analytics. One possible fix: an internal marketplace where users can 'shop' for data assets.
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August 06, 2019
06
Aug'19
HPE buys MapR assets to fuel AI applications
Longtime independent big data vendor MapR goes out of business, selling technology and intellectual property to HPE. The move marks the continuing decline of the Hadoop market.
Big data management Get Started
Bring yourself up to speed with our introductory content
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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
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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
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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
Evaluate Big data management Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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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
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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
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Data warehouse vs. data lake vs. data mart: Beyond the RDBMS
There are many ways to store big data, but the choice of data warehouse vs. data lake vs. data mart comes down to who uses the data and how. Use this cheat sheet to compare. Continue Reading
Manage Big data management
Learn to apply best practices and optimize your operations.
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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
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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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Building leaner, meaner BI data sources
As business intelligence analysis and reporting platforms become increasingly important in the enterprise, so does the data that feeds them. Are your BI data sources up to par? Continue Reading
Problem Solve Big data management Issues
We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.
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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
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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
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Panera meets big data challenge of lunchtime operations
In the era of more and more digital orders, Panera Bread encountered big data challenges that led the restaurant chain to deploy a new cluster architecture with Hadoop, Spark and other technologies. Continue Reading