Big data analytics tools have become indispensable, as they offer the insights necessary for organizations to make informed decisions, understand market trends and drive innovation. These platforms ...

In today’s business landscape, data is the key ingredient to long-term growth. However, specialized tools and software are required to translate data into actionable insights. Without it, the data is ...

In life science research, data comes in many forms - structured clinical trial tables, semi-structured instrument outputs, and unstructured lab notes or images. This “variety” makes it difficult to ...

Big Data enables organizations to target audiences much more precisely and at a much more personal level, thereby increasing customer loyalty. Many companies are beginning to realize the benefits of ...

Big data has been a much-used buzz-phrase for several years. However, it is only more recently that big data analytics has entered the corporate mainstream. More and more companies now say that they ...

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 be ...

Cray has always been associated with speed and power and its latest computing beast called the Cray Urika-GX system has been designed specifically for big data workloads. What’s more, it runs on ...

The U.S. Air Force is using big data analysis tools to create a picture of a battlefield or area of interest that can be monitored in real time as well as stored and replayed. By merging sensor ...

If you’ve collected a large amount of data that you want to analyze, the go-to method for years has been to follow a programming paradigm called MapReduce, typically using Apache’s Hadoop framework.

InfoWorld's top picks in distributed data processing, streaming analytics, machine learning, and other corners of large-scale data analytics How many Apache projects can sit on a pile of big data?