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.

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Big data analytics News

April 17, 2019 17 Apr'19
Google takes a run at enterprise cloud data management

New Google Cloud boss Thomas Kurian is putting databases and data management at the forefront at Google. The vendor has forged key data deals, showing a more mature Google Cloud.
April 15, 2019 15 Apr'19
Kafka at center of new event processing infrastructure

Events are as important as data in emerging applications underlying many e-commerce efforts. Streams of events tell a company what motivates customers to use online products.
April 08, 2019 08 Apr'19
Google's BigQuery ML needs big changes to compete

On the eve of Google Cloud Next '19, experts assess the impact of Google's BigQuery ML since its release and their hopes for the automated machine learning tool's future.
April 04, 2019 04 Apr'19
Equifax and FICO unite to move into alternative data market

With the Equifax-FICO alliance, the credit giants are offering a combined Data Decisions Cloud suite they hope can solidify their place in the alternative data market.

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Big data analytics Get Started

Bring yourself up to speed with our introductory content

Data-rich organizations turn focus to ethical data mining

As data analytics have increasingly become a core component of organizations' strategies, concerns have arisen around how data is mined. Experts offer tips. Continue Reading
Qlik Research head talks Associative Engine, NLP and Data Swarm

Elif Tutuk, research head at Qlik, discusses projects her team is working on -- including a smarter Associative Engine, multi-attribute visualizations and NLP. Continue Reading
smart manufacturing (SM)

Smart manufacturing (SM) is a technology-driven approach that utilizes Internet-connected machinery to monitor the production process. The goal of SM is to identify opportunities for automating operations and use data analytics to improve ... 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.

4 factors to consider in a Hadoop distributions comparison

Examine the key characteristics necessary to evaluate in a Hadoop distribution comparison, focusing on enterprise features, subscription options and deployment models. Continue Reading
Explore Hadoop distributions to manage big data

Discover the uses of Hadoop distributions and the first steps in evaluating these products, as well as how the merger of rivals Cloudera and Hortonworks affects the market. Continue Reading
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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Manage Big data analytics

Learn to apply best practices and optimize your operations.

ICIP IoT training: IoT and big data analytics

In this podcast lesson, ICIP instructor Bruce Sinclair outlines the benefits of IoT and big data analytics, exploring how they affect digital twins, the types of analytics available and more. Continue Reading
What to consider when choosing big data file formats

While JSON may be the go-to data format for developers, Parquet, ORC or other options may be better for analytics applications. Learn more about big data file formats. Continue Reading
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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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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