Netflix, for example, has a basic plan that only lets you stream in standard quality, which uses about 0.7 GB of data per hour. Keeping an eye on how much data you stream ...

Streaming data, also called event stream processing, is usually discussed in the context of big data. It is data that is generated continuously, often by thousands of data sources, such as sensors ...

A data streaming solution must account for speed, security, scaling and more if it’s to provide the productivity, service and information it’s designed to deliver.

For example, Spotify uses the same bitrates listed above, while Apple Music streams at 64, 126, and 250 kbps, but uses a different file type and audio codec. However, streaming an hour of music at ...

Real-time data streaming is still early in its adoption, but over the next few years organizations with successful rollouts will gain a competitive advantage Today, there are many data sources ...

Take, for example, the classic problem of data fragmentation. Spreading private data across multiple systems — each with their own capabilities, purposes, and cybersecurity measures — makes it ...

Heavily rooted in the Kafka data streaming standard that was originally developed by LinkedIn engineers nearly 20 years ago, Confluent was once a hot company that went public in 2021 at $36.

Until this point, traditional and streaming TV data were “a bit more siloed” in Ampersand’s platform, Rosen said, because they are processed differently. Linear TV viewing data comes from set-top ...

Confluent, Inc., the data streaming pioneer, today announced that it has been named as a Leader in the IDC MarketScape for Worldwide Analytic Stream Processing Software 2024 Vendor Assessment and ...