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

June 12, 2020 12 Jun'20
Data drives the decisions behind making movies

From the moment a script is submitted to the time a movie is released, analytics drive just about every decision made during the making of a feature film.
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.

Big data analytics Get Started

Bring yourself up to speed with our introductory content

Important resources in a data scientist education

There are plenty of resources for data science learning for people entering the field all the way up to managers. Read on for key resources and an excerpt from a new book on data science skills. Continue Reading
Data scientist vs data analyst: A visual breakdown

The differences can be subtle, but in general, a data scientist has more responsibilities and a more advanced background than analyst counterparts. Continue Reading
Data science interview preparation: How to answer top questions

A successful interview for a data scientist position relies on the ability to effectively communicate and demonstrate your combined experiences and skills. Continue Reading

Evaluate Big data analytics Vendors & Products

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

What does Salesforce mean for Tableau AI features?

Tableau and Salesforce both offer AI features for their analytics tools. Experts talk about how the AI offerings from each platform can complement each other. Continue Reading
Benefits of embedded BI and customizable analytics

Depending on your data needs, embedded analytics from a BI platform or a more custom-built analytics framework may work. Read on for the benefits of each option. Continue Reading
The top augmented analytics tools vendors are offering

From natural language querying to automated data preparation, augmented analytics are key capabilities for the top BI platforms. Read on to see what popular vendors are offering. Continue Reading

Manage Big data analytics

Learn to apply best practices and optimize your operations.

Find out how smart you are about machine learning and AI

Machine learning can help businesses gain powerful analytics value from their data -- but only if it's done right. How much do you know about machine learning and related forms of AI? Continue Reading
Why organizations need IoT data scientists on their team

IoT is ratcheting up the stakes and creating new ways to use data, making IoT data scientists a necessity for organizations to maintain a competitive edge. Continue Reading
The COVID-19 impact on analytics professionals

The global pandemic has forced many businesses to make quick changes. The COVID-19 impact on analytics professionals makes them imperative to changing business goals. 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.

Overcoming the top 3 analytics adoption challenges

Analytics is a growing part of many businesses. Experts talk about some of the most pressing challenges enterprises may face when implementing new analytics strategies. Continue Reading
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