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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BI Self-Service Tool Comparison
What’s the difference between Tableau and Qlik Sense? Designed exclusively for decision makers like you, this expert guide explores the pros and cons of both tools. Learn how they compare in 4 critical categories.
Big data analytics News
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February 14, 2019
14
Feb'19
Originators form group to boost Presto SQL query engine
The Presto engine arose as an alternative to Hive for big data queries. Now, the Presto Software Foundation has formed to promote the SQL query software's virtues.
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December 28, 2018
28
Dec'18
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.
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November 29, 2018
29
Nov'18
Deep learning in big data analytics with Sisense Hunch
Sisense Hunch, a new Sisense BI tool, enables big data analytics for IoT devices by using deep learning to automatically extract insights from big data.
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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.
Big data analytics Get Started
Bring yourself up to speed with our introductory content
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data analytics (DA)
Data analytics (DA) is the science of examining raw data with the purpose of drawing conclusions about that information. Continue Reading
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data exploration
Data exploration is the first step in data analysis and typically involves summarizing the main characteristics of a data set, including its size, accuracy, initial patterns in the data and other attributes. Continue Reading
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Why data literacy skills still matter with augmented analytics
Democratizing data analytics gives everyone access to tools and information, but data literacy is still required for analyzing data and delivering successful outcomes. 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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Expert urges data pros to hone data science skills
IT expert William McKnight shares job tips for data professionals looking to prosper in a changing enterprise. His first piece of advice: continually foster data science skills. Continue Reading
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Demand for data scientists is booming and will only increase
Fueled by big data and AI, demand for data science skills is growing exponentially, according to job sites. The supply of skilled applicants, however, is growing at a slower pace. Continue Reading
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IT managers look to deploy BI, analytics in the cloud
More organizations plan to use cloud-based BI and analytics and focus on data governance and predictive analytics, TechTarget's 2019 IT Priorities Survey found. Continue Reading
Manage Big data analytics
Learn to apply best practices and optimize your operations.
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5 best practices for managing real-time data integration
Real-time data integration isn't like traditional data integration -- "it's moving, it's dirty and it's temporal," cautions one data pro. Experts offer up some best practices. Continue Reading
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5 tips for enabling citizen data scientists
Self-service analytics tools are enabling citizen data scientists to dig deeper into BI than ever before. Experts offer insights into how to empower data democratization. Continue Reading
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How Morgan Stanley scaled up Tableau self-service analytics
Morgan Stanley wanted to empower users to make data-driven decisions. A Tableau analytics platform was the answer. The problem: introducing it to 30,000 users. 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