The Association for Computing Machinery (ACM) has awarded its annual Prize in Computing to Matei Zaharia for his work developing open source data and analytics software, including the widely used ...

Python is the top choice for data science due to its ease and powerful libraries. R and SQL are key for stats, visualization, and database work. Julia and JavaScript are growing in speed and web-based ...

Community driven content discussing all aspects of software development from DevOps to design patterns. One trait all full-stack developers share is agility. Every tech organization understands that ...

Java is not the first language most programmers think of when they start projects involving artificial intelligence (AI) and machine learning (ML). Many turn first to Python because of the large ...

A flaw in code for handling Parquet, Apache’s open-source columnar data file format, allows attackers to run arbitrary code on vulnerable instances. The vulnerability, tracked as CVE-2025-30065, is a ...

INTERVIEW Big data is no longer hailed as the "new oil." It has gone out of fashion, both in terms of hype and because its foundational technology – Apache Hadoop – was surpassed by cloud-based blob ...

Introduction: DolphinScheduler provides powerful workflow management and scheduling capabilities for data engineers by simplifying complex task dependencies. In version 3.2.0, DolphinScheduler ...

In the ever-expanding realm of Big Data, professionals often find themselves at a crossroads when choosing the right tools for their careers. Hadoop and Python stand out as two major players in this ...

Apache Spark and Hadoop, Microsoft Power BI, Jupyter Notebook and Alteryx are among the top data science tools for finding business insights. Compare their features, pros and cons. While data has its ...

The MongoDB Connector for Hadoop is a library which allows MongoDB (or backup files in its data format, BSON) to be used as an input source, or output destination, for Hadoop MapReduce tasks. It is ...