In this article, author discusses Apache Spark GraphX used for graph data processing and analytics, with sample code for graph algorithms like PageRank, Connected Components and Triangle Counting.

Apache Spark's powerful open-source platform enables high-speed data processing for large and complex datasets. The joint benchmarking used the k-core decomposition algorithm of Spark's GraphX ...

Apache Spark speeds up big data processing by a factor of 10 to 100 and simplifies app development to such a degree that developers call it a "game changer." ...

本書はビッグデータを主な対象とするデータ分析フレームワーク「Apache Spark」「MLflow」「Delta Lake」を使いこなすための中級者向け解説書です。 Apache Sparkの導入から説明し、Spark SQLとデータフレーム、データセットを紹介。Apache Sparkを用いたデータ分析においてどのように機械学習を利用すれば ...

Spark has moved beyond pure experimentation—with imminent availability of a stable 1.0 release and inclusion in all major Hadoop distributions.

Writing Spark applications Spark, written in Scala, provides a unified abstraction layer for data processing, making it a great environment for developing data applications.

Apache Flink, a potential contender for Apache Spark’s big-data processing jobs, released its first API-stable 1.0 version this week. Spark is mainly for in-memory processing of batch data.

Apache Spark 2.0で導入されたStructured Streamingは、ストリーミングデータのためのSQLライクなインターフェースを提供します。Redis Streamsによって、Redis ...

Impetus Technologies, has announced StreamAnalytix 3.0, which adds support for Apache Spark-based batch processing and enriched online and offline machine learning features. The new capabilities are ...

A little-known startup called Hazelcast Inc. is hoping to steal some of the limelight from popular open-source projects Apache Spark and Apache Flink, launching what it claims is a faster and ...