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.
Big data analytics News
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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.
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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 15, 2019
15
May'19
Qlik debuts free data literacy certification
Qlik unveiled a free data literacy certification in the hopes of making people -- both customers and non-customers -- more data literate.
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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.
Big data analytics Get Started
Bring yourself up to speed with our introductory content
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natural language processing (NLP)
Natural language processing (NLP) is the ability of a computer program to understand human language as it is spoken. Continue Reading
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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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logistic regression
Logistic regression is a statistical analysis method used to predict a data value based on prior observations of a data set. Continue Reading
Evaluate Big data analytics 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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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
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Data modeling software tackles glut of new data sources
Data modeling platforms are starting to incorporate features to automate data-handling processes, but IT must still address entity resolution, data normalization and governance. Continue Reading
Manage Big data analytics
Learn to apply best practices and optimize your operations.
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6 tips for effective customer data mining
Digging into customer analytics can improve sales opportunities -- but how does an organization balance that against data privacy concerns? Get insights from data professionals. Continue Reading
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Data modeling best practices power analytics, business apps
Data modeling is a key part of data management and analytics. This handbook highlights best practices for creating data models and new functionality in modeling tools. 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
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.
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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
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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