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.

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Big data analytics News

February 11, 2020 11 Feb'20
Snowflake raises $479 million to boost cloud data warehouse

Snowflake is looking to grow its data warehouse platform with new funding and a partnership with Salesforce that could differentiate its platform from rivals.
February 10, 2020 10 Feb'20
GoodData says it is CCPA compliant

GoodData says it is complying with the California Consumer Privacy Act. Meanwhile, founder and CEO Roman Stanek talks about why complexity is a key challenge for data analytics.
January 22, 2020 22 Jan'20
New Confluent Platform release boosts event streaming quality

Based on the open-source Kafka event streaming platform, the Confluent Platform 5.4 update adds new capabilities to help meet enterprise data management requirements.
December 19, 2019 19 Dec'19
2019 BI trends included reality check for AI, consolidation

AI features in BI products improved in 2019, but not at the pace predicted before the year began. Instead, advancement was incremental and consolidation was a dominant theme.

Big data analytics Get Started

Bring yourself up to speed with our introductory content

Top embedded analytics examples in enterprise applications

Embedded analytics has been trending for ease of use and accessibility for users. Here are the top use cases for these tools in enterprise applications. Continue Reading
Data scientist vs. data analyst: What's the difference?

Data scientists and data analysts have a lot of crossover in their roles, but they're certainly not the same. Here's a look at some key differences in the positions. Continue Reading
chief data officer (CDO)

A chief data officer (CDO) is a C-level executive who is responsible for an organization's data use and data governance. Continue Reading

Evaluate Big data analytics Vendors & Products

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

Should your company hire a freelance data scientist?

Enterprises need to make the right hiring choices when it comes to supporting their data projects. Here are some reasons your company may -- or may not -- consider hiring a freelancer. Continue Reading
Ethical data collection in the spotlight over new regulations

New regulations have put data privacy top of mind for many consumers. Here's a look at how businesses can incorporate ethical data collection -- and even benefit from it. Continue Reading
How to improve data scientist job satisfaction

Hiring data scientists is tough. Keeping them is tougher. However, there are certain things companies can do to minimize the high cost of turnover within their data science team. Continue Reading

Manage Big data analytics

Learn to apply best practices and optimize your operations.

Trends and top use cases for streaming data analytics

As more enterprises adopt real-time analytics, new infrastructure and best practices are appearing. Here are some trending practices for streaming data analytics platforms. Continue Reading
Varied experience builds strong data science background

Data scientists need many skills and learn those skills from different backgrounds. Experts say relevant experience can come from nearly any quantitative field. Continue Reading
How to enhance your data science storytelling

How do you create substantive, compelling stories for business executives from cold, hard numerical data? Experts share their tips on how to improve your data storytelling skills. 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.

COVID-19 data resources for volunteering data scientists

Many data scientist are looking to research the novel coronavirus and ways to fight the continued outbreak. Read on for the top COVID-19 data resources for volunteer researchers. Continue Reading
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
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