Spark: The Definitive Guide Big Data Processing Made Simple[ Bill

＜p＞Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections, each with unique goals.＜/p＞ ＜p＞You???ll explore the basic operations and common functions of Spark???s structured APIs, as well as Structured Streaming, a new high-level API for building end-to-end streaming applications. Developers and system administrators will learn the fundamentals of monitoring, tuning, and debugging Spark, and explore machine learning techniques and scenarios for employing MLlib, Spark???s scalable machine-learning library.＜/p＞ ＜ul＞ ＜li＞Get a gentle overview of big data and Spark＜/li＞ ＜li＞Learn about DataFrames, SQL, and Datasets???Spark???s core APIs???through worked examples＜/li＞ ＜li＞Dive into Spark???s low-level APIs, RDDs, and execution of SQL and DataFrames＜/li＞ ＜li＞Understand how Spark runs on a cluster＜/li＞ ＜li＞Debug, monitor, and tune Spark clusters and applications＜/li＞ ＜li＞Learn the power of Structured Streaming, Spark???s stream-processing engine＜/li＞ ＜li＞Learn how you can apply MLlib to a variety of problems, including classification or recommendation＜/li＞ ＜/ul＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。