Big data analytics

Big data analytics is the often complex process of examining big data to uncover information -- such as hidden patterns, correlations, market trends and customer preferences -- that can help organizations make informed business decisions.. See complete definition.

April 09, 2021 09 Apr'21
Air Force's data overhaul makes analytics a priority

With its data locked in legacy systems that didn't communicate with one another, in 2017 the Air Force started to overhaul of its BI stack to enable data-driven decision-making.
March 24, 2021 24 Mar'21
Incorta 5 advances direct data mapping technology

The big data analytics platform vendor will add more data connectors and advance data visualization capabilities as enterprises' need for more insights from data continues to grow.
January 06, 2021 06 Jan'21
DataOps engineer an emerging role in analytics

As organizations accumulate more data and realize the need to implement a DataOps strategy, they are now seeking DataOps specialists to help implement and oversee data management.
December 08, 2020 08 Dec'20
SingleStore raises $80M for distributed SQL database

Raj Verma, CEO of SingleStore, explains why the vendor rebranded from MemSQL and how its platform is more than just an in-memory database, but is a general-purpose database.

Bring yourself up to speed with our introductory content

6 essential big data best practices for businesses

These best practices can help businesses put their big data strategy on the right track to meet analytics needs and produce the expected business benefits. Continue Reading
Building a big data architecture: Core components, best practices

To process the infinite volume and variety of data collected from multiple sources, most enterprises need to get with the program and build a multilayered big data architecture. Continue Reading
8 big data use cases for businesses and industry examples

As the understanding of big data requirements increases, so do big data use cases. Here are eight ways businesses are using big data to improve operations. Continue Reading

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

Hadoop vs. Spark: Comparing the two big data frameworks

Hadoop and Spark are widely used big data frameworks. Here's a look at their features and capabilities and the key differences between the two technologies. Continue Reading
Data scientist job outlook in post-pandemic world

There was a lull in hiring for one of the hottest jobs in the U.S., but as lockdowns start to lift and offices start to reopen, the data scientist job outlook is changing. Continue Reading
Big data vs. machine learning: How they differ and relate

Big data and machine learning are a powerful analytics pairing. Here's an explanation of the difference between them and how they can be used together. Continue Reading

Learn to apply best practices and optimize your operations.

Top trends in big data for 2021 and beyond

Big data is driving changes in how organizations process, store and analyze data. The benefits are spurring even more innovation. Here are four big trends. Continue Reading
Why using graph analytics for big data is on the rise

Graph analytics is being used across industries for different reasons. Read on to see how they can improve organizational decision-making, network analysis, production and more. Continue Reading
The data science process: 6 key steps on analytics applications

The data science process includes a set of steps that data scientists take to gather, prepare and analyze data and present the analytics results to business users. Continue Reading

We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.

10 big data challenges and how to address them

Bringing a big data initiative to fruition requires an array of data skills and best practices. Here are 10 big data challenges enterprises must be ready for. Continue Reading
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