Big data management
Big data management is the organization, administration and governance of large volumes of both structured and unstructured data.. See complete definition.
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Google vs. Oracle vs. SQL Server
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Big data management News
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May 31, 2019
31
May'19
MapR's future in jeopardy, layoffs loom
It's right there in a MapR letter to California's labor department: A leader in the Hadoop market is desperately seeking funding after poor sales of its promising data platform.
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May 13, 2019
13
May'19
Red Hat OpenShift Operators target AI, big data workloads
Speedy deployment of machine learning jobs may not arrive too soon. But container platform enhancements from Red Hat aim to quicken the uptake of such innovations.
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May 07, 2019
07
May'19
ProvenDB brings blockchain applications to world of MongoDB
Blockchain is intriguing technology, but carries with it high system overhead. ProvenDB adds blockchain to MongoDB in an effort to gain acceptable performance.
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April 30, 2019
30
Apr'19
Snowflake CEO Bob Muglia talks cloud data warehouse evolution
In this Q&A, now-former Snowflake CEO Bob Muglia discusses the vendor's decision to embrace cloud data warehousing and how the industry is changing as more data moves to the cloud.
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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5 things to know about deploying big data systems in data containers
Planning for security and container APIs, and watching out for infrastructure sprawls are some issues to be aware of before deploying big data in containers. Continue Reading
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Tips for creating curated data sets for self-service BI users
Data curation initiatives can help streamline BI processes by reducing the amount of time users spend locating and preparing data. Get four tips for preparing data sets. 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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Microservices and big data start to get closer
Microservices are riding a wave of user interest, leading to changes in IT operations. ThoughtWorks expert Zhamak Dehghani discusses what that means for big data. Continue Reading
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GDPR privacy concerns still brewing on law's first birthday
The first year of the much-debated EU data protection rule was subdued. High-profile fines for privacy breaches have yet to come, but regulators are starting to take action. Continue Reading
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Inside view of Tibco integration architecture planning
Tibco's acquisitions of well-regarded, small software specialists such as SnappyData are part of a drive toward what it calls 'connected intelligence.' CTO Nelson Petracek provides background. Continue Reading
Manage Big data management
Learn to apply best practices and optimize your operations.
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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
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Big data platform broadens place in analytics architecture
Big data platforms stumbled a bit getting out of the prototyping stage. But a view from the Strata Data Conference in New York sees broader use in the offing. 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