Apache Arrow defines an in-memory columnar data format that accelerates processing on modern CPU and GPU hardware, and enables lightning-fast data access between systems. Working with big data can ...

Hadoop, Spark and Kafka have already had a defining influence on the world of big data, and now there’s yet another Apache project ... modern applications and log files. Implementations are ...

A year ago, customers of Sovrn’s affiliate marketing business could expect to wait 24 to 48 hours before getting access to new data describing online consumer behavior. That didn’t cut it, so the ...

Apache Hadoop has been the driving force behind the growth of the big ... data, and storing the final results. Pig's built-in operations can make sense of semi-structured data, such as log files ...

Analytics is often described as one of the biggest challenges associated with big data ... happen, data has to be ingested and made available to enterprise users. That’s where Apache Kafka ...

When the big data movement ... few years, Apache Kafka has emerged to solve a variety of use cases. In the simplest case, it could be a simple buffer for storing application logs.

which spawned Apache HBase. But Google didn’t stop with those projects. It’s continued to create new big data tools and continues to publish papers about them. Dremel (PDF) is designed to make ...

AI’s effectiveness depends on three key aspects of Big Data: AI relies on diverse data types: structured transactional logs, semi-structured ... often using Apache NiFi and schema evolution ...

Here, we delve into four of the top Big Data tools specifically tailored for Java developers: Apache Hadoop ... power for batch processing tasks like log analysis, data transformation and more.

The revelations of a leak investigation started in the Trump administration are a reminder that Big Tech ... logs, photos, videos, documents, contact lists and calendars. Is all of that data ...