Tech Insights

Big Data

Last updated , generated by Sumble
Explore more →

What is Big Data?

Big Data refers to extremely large and complex datasets that are difficult to process using traditional data processing applications. It's characterized by the 'Five Vs': Volume (the amount of data), Velocity (the speed of data processing), Variety (the different types of data), Veracity (the quality of data), and Value (the insights derived from the data). Big Data is commonly used for data analysis, business intelligence, predictive modeling, and other advanced analytics to extract valuable insights and support decision-making.

What other technologies are related to Big Data?

Big Data Complementary Technologies

Event Mesh facilitates the real-time flow of data between applications and services, which is useful for Big Data processing.
mentioned alongside Big Data in 54% (1.1k) of relevant job posts
Cloud computing provides the infrastructure and services needed to store, process, and analyze large datasets in Big Data.
mentioned alongside Big Data in 7% (8.1k) of relevant job posts
IoT devices generate massive amounts of data, which are often processed using Big Data technologies.
mentioned alongside Big Data in 7% (7.3k) of relevant job posts

This tech insight summary was produced by Sumble. We provide rich account intelligence data.

On our web app, we make a lot of our data available for browsing at no cost.

We have two paid products, Sumble Signals and Sumble Enrich, that integrate with your internal sales systems.