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 informed business decisions.. See complete definition.

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Free Guide: 5 Data Science Tools to Consider

With the right data science tools, you can gain powerful insight out of the ever-growing pools of corporate data. Learn why data science experts are using Python, R, Jupyter Notebook, Tableau, and Keras.

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Big data analytics News

August 07, 2019 07 Aug'19
HPE acquires MapR storage layer for AI, containers

MapR storage technology gets a new lease on life from HPE, which plans to integrate the AI data management features with recently acquired BlueData container-as-a-service platform.
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.
June 06, 2019 06 Jun'19
Google acquisition of Looker to boost Google Cloud analytics

By acquiring Looker, Google will enhance its analytics and BI capabilities available through Google Cloud, while becoming a formidable force in the enterprise-level BI space.
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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Big data analytics Get Started

Bring yourself up to speed with our introductory content

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
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
business analytics (BA)

Business analytics (BA) is the iterative, methodical exploration of an organization's data, with an emphasis on statistical analysis. Business analytics is used by companies that are committed to making data-driven decisions. Continue Reading

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Evaluate Big data analytics Vendors & Products

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

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
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
Advice on enterprise data cleansing from an SAP VP

SAP's Kristin McMahon details data cleansing best practices and explains why a good data cleanse needs continual communication, collaboration and oversight. Continue Reading

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Manage Big data analytics

Learn to apply best practices and optimize your operations.

How to navigate today's business analytics governance challenges

Don't let a traditional analytics mindset lure you into complacency when it comes to advanced analytics governance. Here are the biggest governance roadblocks and how to avoid them. Continue Reading
Cloud cost implications of the 5 V's of big data

Moving analytics to the cloud opens a lot doors for users, but only if they keep costs in check and understand the 5 V's of big data -- volume, variety, velocity, veracity and value. Continue Reading
Today's top data pipeline management challenges

IT executives say pricing models, agility and auditability are some of the biggest challenges they have faced in managing today's increasingly complex data pipelines. Continue Reading

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Problem Solve Big data analytics Issues

We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.

What data management challenges do analytics programs face?

Expert Anne Marie Smith shares five reasons why organizations' analytics programs might fail and how a data management framework and other programs can help. Continue Reading
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

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