Most people (and companies!) see big data as this bottomless pit of potential, but it's also brimming with challenges and hurdles.
Big data refers to the incredible amount of structured and unstructured information that humans and machines generate—petabytes every day, according to PwC. It’s the social posts we mine for customer sentiment, sensor data showing the status of machinery, financial transactions that move money at hyperspeed. It’s also too massive, too diverse, and comes at us way too fast for old-school data processing tools and practices to stand a chance. It’s also much too valuable to leave unanalyzed...
The best-selling author of Big Data is back, this time with a unique and in-depth insight into how specific companies use big data. Big data is on the tip of everyone's tongue. Everyone understands...
A number of big data companies have emerged over the years to provide analytics solutions for huge datasets. Here are some that you should know.
Big data adoption reached 53% in 2017 for all companies interviewed, up from 17% in 2015, with telecom and financial services leading early adopters. Reporting, dashboards, advanced visualization e...
Check out 12 examples of companies using big data tools to harness IoT data, making their operations more efficient.
Yet we estimate that up to 30 percent of the thousands of pricing decisions companies make... of using big data in a B2B context actually transcend pricing and touch on other aspects of a...
Internet services and devices collect and store an immense amount of information, encompassing every facet of our lives. That data is gathered by businesses and used to help them innovate and acquire a competitive advantage. It is a complex puzzle that can unlock the secrets of our past, present, and future. In this article, I will start with a brief explanation of key terms related to Big Data. Then we’ll get to the main focus of this article: how do companies use Big Data? We will examine ho...
Victor Nilson, senior vice president of big data at AT&T; and... of data, and sometimes we just weren’t using that data and... from data providers, it comes from analytical companies. We...
Big data analytics software (SAS, Cloudera, SiSense) ; Database management systems (MongoDB, MySQL, IBM Db2) ; Data lakes (HPE Greenlake, AWS)