Java 25 introduces Compact Object Headers (JEP 519), delivering up to 30% CPU savings and reduced memory usage for ...

As the contextually enriched automotive data is usually stored in big data ... programming interfaces (APIs) are commonly used as a bridge between the data consumers and the collected data. This paper ...

The vulnerability, tracked as CVE-2025-30065, is a deserialization issue (CWE-502) in Parquet’s Java library that ... using Parquet for their big-data and analytics stacks–a popular use ...

In 2024, Spark’s integration with machine learning libraries like MLlib and support for multiple programming languages (Python, Java, Scala) solidify its position as a top choice for big data ...

With the rise of machine learning (ML), the Internet of Things (IoT), mobile apps and artificial intelligence (AI), the big data analytics market ... Python and Java to build data pipelines ...

Apache Spark has emerged as a versatile and high-performance Big Data processing framework, providing Java developers with tools for real-time data analytics, machine learning and more.

Big data analytics ... that integrates various data sources for a cohesive analytics experience. With its emphasis on collaborative tools and a user-friendly interface, Domo is great for ...

Data analytics of social ... It provides read and write interfaces for Hadoop technologies. The data processing of huge datasets is the key module of the proposed model. An integrated approach is used ...

Data analytics tools and software deliver deep insights into wide-ranging business events. What data analytics and big data are used ... tech and government. Interface can be challenging.