Big data analytics
Big data analytics is the often complex process of examining large and varied data sets, or big data, to uncover information -- such as 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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September 27, 2019
27
Sep'19
Former accountant embezzled $3.5 million from QlikTech Singapore
A former employee of analytics vendor Qlik’s Singapore subsidiary embezzled nearly $4 million. Ariel Biasong Salamanes worked in the Singapore office’s sales and marketing department.
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September 25, 2019
25
Sep'19
Cloudera Data Platform gives big data users multi-cloud path
Cloudera released a big data platform combining its technologies and ones from Hortonworks, initially in the AWS cloud but with multi-cloud support to come.
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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.
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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.
Big data analytics Get Started
Bring yourself up to speed with our introductory content
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deep learning
Deep learning is a type of machine learning (ML) and artificial intelligence (AI) that imitates the way humans gain certain types of knowledge. At its simplest, deep learning can be thought of as a way to automate predictive analytics. Continue Reading
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data scientist
A data scientist is a professional responsible for collecting, analyzing and interpreting extremely large amounts of data. The data scientist role is an offshoot of several traditional technical roles, including mathematician, scientist, ... Continue Reading
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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
Evaluate Big data analytics Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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Data science storytelling emerges as top analytics skill
Storytelling in data science is emerging as a critical skill to have in analytics. Without it, data-driven insights have a tendency to wither on the vine. Continue Reading
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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
Manage Big data analytics
Learn to apply best practices and optimize your operations.
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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
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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
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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
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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7 steps to a successful data lake implementation
Flooding a Hadoop cluster with data that isn't well organized and managed can stymie analytics efforts. Take these steps to help make your data lake accessible and usable. Continue Reading
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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