Streaming data is generated continuously, often by thousands of data sources, such as sensors or server logs. Streaming data records are often small, perhaps a few kilobytes each, but there are many ...

The more real-time data about customers, processes or competitors you can capture and analyze, the better you’ll be able to react quickly to important events. Amazon Kinesis is a cloud tool we really ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Developers can now leverage real-time data using standard ANSI SQL, with new functionality including elastic storage separated from compute, strict-serializability, active replication and horizontal ...

Let’s take a closer look at how much data some of today’s biggest streaming platforms actually use for live TV and your favorite shows. By Brandon Russell Published Mar 25, 2022 10:44 AM EDT We may ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Using workarounds to pipe data between systems carries a high price and untrustworthy data. Bharath Chari shares three possible solutions backed up by real use cases to get data streaming pipelines ...

EXCLUSIVE: SAG-AFTRA has renewed its contract with Nielsen to provide third-party streaming data and analytics to the guild. The 160,000-strong actors union has been using Nielsen’s streaming content ...

Confluent, a platform that simplifies real-time data streaming and system integration, announced the latest version of its flagship product, Confluent Cloud, at the Current 2024, held this year in ...

When using the PyTorch neural network library to create a machine learning prediction model, you must prepare the training data and write code to serve up the data in batches. In situations where the ...