Weiss, Data Structures and Algorithm Analysis in Java, Chapters 2-5, 6-6.4, 6.9, 7, 9-9.3, 9.5; class lecture notes; MapReduce paper.

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 ...

When discussing any big data technologies, we need to consider three main aspects: storage, resource management, and compute or processing. In the early days of the Hadoop ecosystem, when it was ...

Community driven content discussing all aspects of software development from DevOps to design patterns. If you want to master functional programming, the best place to start is with the Java Function ...

Big data has become a crucial aspect of modern computing, allowing businesses to analyze vast amounts of data to make informed decisions. Java, with its robustness and versatility, is a popular choice ...

At the heart of Apache Spark is the concept of the Resilient Distributed Dataset (RDD), a programming abstraction that represents an immutable collection of objects that can be split across a ...

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 ...

In today's widely used parallel programming models, subtle programming errors can lead to unintended nondeterministic behavior and hard to catch bugs. In contrast, we argue for a parallel programming ...

Lee Davis is a tech analyst who has been covering the document imaging industry for over five years. Currently, Lee is the Associate Director of Software and Scanners at Keypoint Intelligence, where ...

structs to easily represent and manage collections and iterable of elements which size are not necessarily defined. Stream structs to support functional-style operations on streams of elements, such ...