Data-focused start-up Qbeast wants to help enterprises improve returns on their investments in analytics and artificial ...

Businesses of all sizes want in on big-data analytics to cut costs, improve customer service, increase profits and identify and solve problems. We'll explain big data and share how businesses can ...

No need to spin up separate Apache Spark clusters, vendor claims Snowflake is launching a client connector to run Apache ...

This week CRN is running the Big Data 100 list in a series of slide shows, organized by technology category, spotlighting vendors of business analytics software, database systems, data warehouse ...

Comparing the data center market with the big data and data analytics market shows that this segment was worth $198 billion in 2020 and it is expected to grow at a CAGR of 13.5% between 2021 and ...

An updated edition of the May 23, 2025 article. Big Data specifically refers to massive amounts of information generated daily from various sources, such as online shopping, sensors, social media ...

Descriptive analytics is the process of analyzing data to find trends and patterns that support decision-making, monitoring, and other initiatives. It's the most fundamental building block of data ...

If they’ve used Big Data to any degree, it’s hard to find a company that doesn’t extoll its virtues for predictive and real-time insights. Industrial Big Data in particular—specifically the large and ...

Predictive analytics is the method of using historical data, AI, and machine learning to predict future outcomes. Organizations can take advantage of predictive analytics by following some best ...

The history of AI’s development can shed much light on the current state of data analytics. First, like AI, Big Data research projects initially spawned a wide variety of algorithms and use cases.

There are no quick paths to business growth, but big data is certainly one of the best paths forward—the tool that can help you achieve scalability and meet your larger objectives.