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
DBMS You Need to Know: Google vs. Oracle vs. SQL Server
DBMS offerings are undergoing major changes to help organizations like yours stay on track to meet business goals in the face of AI, automation, and exploding data. Download this free guide to explore the key features to consider for each product.
Big data management News
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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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July 30, 2019
30
Jul'19
Hitachi Vantara updates Pentaho 8.3 to expand DataOps vision
Hitachi Vantara's new Pentaho update brings DataOps capabilities for data management to help organizations derive better data insights.
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July 26, 2019
26
Jul'19
Cloudera open source route seeks to keep big data alive
Inspired by the IBM-Red Hat model, Cloudera goes the open source route to broaden its market as demand for Hadoop weakens and the vendor takes on big competitors like AWS.
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June 28, 2019
28
Jun'19
PostgreSQL database specialist EnterpriseDB gets new backing
EnterpriseDB is looking to push its database further with help from new financial backers. The deal sees Postgres originator Michael Stonebraker coming onboard as technical adviser.
Big data management Get Started
Bring yourself up to speed with our introductory content
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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
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smart city
A smart city is a municipality that uses information and communication technologies (ICT) to increase operational efficiency, share information with the public and improve both the quality of government services and citizen welfare. Continue Reading
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Big data containers gain wider appeal in system deployments
This handbook examines the use of Docker containers in Kubernetes clusters to run big data systems and offers insight on container deployment and management issues. 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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What you need to know about Cloudera vs. AWS for big data
Enterprises in need of a big data platform must run some analytics of their own to choose a vendor. AWS' integration between services can't be beat, but is Cloudera a better choice? Continue Reading
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Data management roles: Data architect vs. data engineer, others
Veteran data professional Michael Bowers differentiates between key data management positions, including their salaries and which ones can add the most business value. Continue Reading
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Container technologies promise more agility for big data apps
Along with the ability to provide greater agility and flexibility for big data applications, containers can play a role in IT strategy that drives real-time decision-making. Continue Reading
Manage Big data management
Learn to apply best practices and optimize your operations.
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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
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A future data scientist needs business, deep learning skills
As automation grows, data scientists will focus more on business needs, strategic oversight and deep learning and less on model creation and other routine tasks. Continue Reading
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Data management trends for 2019: Governance, DataOps, cloud
Better data governance, increased cloud use and wider DataOps adoption head the list of trends for data management teams to plan for in 2019, IT analysts say. 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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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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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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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