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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Free Guide: Machine Learning Meets Data Quality

Read an exclusive interview with Andrew Burt, chief privacy offer and legal engineer at Immuta Inc., on data governance and machine learning integration. Plus, uncover steps IT managers are taking to improve data quality in their big data environments in order to ensure analytics accuracy.

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Big data management News

October 12, 2018 12 Oct'18
MarkLogic Data Hub Service aims to ease cloud use of NoSQL DBMS

MarkLogic rolled out a cloud-service version of its NoSQL database management system, a move designed to make the technology more cost-effective for cloud users.
October 04, 2018 04 Oct'18
Cloudera-Hortonworks merger narrows Hadoop users' options

Hadoop users will have fewer choices as big data rivals Cloudera and Hortonworks unite. But the new company may be more competitive with AWS and Google.
September 25, 2018 25 Sep'18
SQL Server 2019 preview brings Hadoop, Spark and AI into DBMS

A SQL Server 2019 preview brings Hadoop and Spark into the fold, positioning the database as an all-purpose data portal. Azure Cosmos DB also gets an update.
September 13, 2018 13 Sep'18
Containers key for Hortonworks alliance on big data hybrid

Hortonworks is joining with Red Hat and IBM to work together on a hybrid big data architecture format that will run using containers both in the cloud and on premises.

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Big data management Get Started

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big data analytics

Big data analytics is the often complex process of examining large and varied data sets -- or big data -- to uncover information including hidden patterns, unknown correlations, market trends and customer preferences that can help organizations make... Continue Reading
MongoDB

MongoDB is an open source database management system (DBMS) that uses a document-oriented database model which supports various forms of data. Continue Reading
Apache Hive

Apache Hive is an open source data warehouse system for querying and analyzing large data sets that are principally stored in Hadoop files. Continue Reading

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Evaluate Big data management Vendors & Products

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

Cloud buoys data microservices -- for on-premises systems, too

Data in a microservices architecture is percolating anew. This news analysis looks at IBM Cloud Private for Data and other means to harmonize data in public and private locations. Continue Reading
5 trends driving the big data evolution

The speedy evolution of big data technologies is connected to five trends, including practical applications of machine learning and cheap, abundantly available compute resources. Continue Reading
Beyond the RDBMS: Data warehouse vs. data lake vs. data mart

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

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Manage Big data management

Learn to apply best practices and optimize your operations.

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
When to choose an S3 big data environment over HDFS storage

Selecting a storage service for big data in the cloud can be challenging. Expert David Loshin explains usage patterns that could lead organizations to Amazon Simple Storage Service. Continue Reading
IoT, edge computing spawn new security issues

As real-time big data increasingly hitches up to internet of things, edge computing power and fog nodes, a whole new layer of security threats emerges. Continue Reading

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Problem Solve Big data management Issues

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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
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
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

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