Spark, a big data computing framework that "one stack sets the world", expects to use a technology stack to perfectly solve all kinds of computing tasks in the field of big data. Apache official, the definition of Spark is: a general big data fast processing engine. In addition to the one-stop feature, Spark also has the most important feature of memory-based computing, so that its speed can reach several times or even dozens of times that of MapReduce and Hive! Now many large companies are deeply using Spark as the computing framework of big data in production environment, including Yi Bei and Yahoo! , BAT, Netease, JD.COM, Huawei, public comment, youku tudou, sogou and so on.

Super multifunctional

Spark provides technical components such as Spark RDD, Spark SQL, SparkStreaming, Spark MLlib, Spark GraphX, etc. , which can complete off-line batch processing, interactive query, flow calculation, machine learning, graph calculation and other common tasks. One-stop big data field.

East Normal University data learning java language foundation, java object-oriented, spring mvc, web front-end, Linux introduction, hadoop development, Spark and so on.