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Item Information   Holdings     Summary     More Content       More by this author     Chambers, Bill (William Andrew), author.     Subjects     Spark (Electronic resource : Apache Software Foundation)     Apache (Computer file : Apache Group)     Information retrieval.     Big data.     Data mining -- Computer programs.     Electronic data processing.     Telecommunication -- Message processing.     Web servers -- Computer programs.     Web applications -- Development.     Browse Catalog     by author:      Chambers, Bill (William Andrew), author.       by title:      Spark : the definiti...         MARC Display

Spark : the definitive guide : big data processing made simple / Bill Chambers and Matei Zaharia. by Chambers, Bill (William Andrew), author. Sebastapol, CA : O'Reilly Media, 2018. Subjects Spark (Electronic resource : Apache Software Foundation)   Apache (Computer file : Apache Group)   Information retrieval.   Big data.   Data mining -- Computer programs.   Electronic data processing.   Telecommunication -- Message processing.   Web servers -- Computer programs.   Web applications -- Development. ISBN:  9781491912218 (pbk.) : Description:  xxvi, 576 pages : illustrations ; 24 cm. Edition:  First edition. Contents:  Part 1. Gentle overview of big data and Spark. What is Apache Spark? -- A gentle introduction to Spark -- A tour of Spark's toolset -- Part 2. Structured APIs : DataFrames, SQL, and datasets. Structured API overview -- Basic structured operations -- Working with different types of data -- Aggregations -- Joins -- Data sources -- Spark SQL -- Datasets -- Part 3. Low-level APIs. Resilient distributed datasets (RDDs) -- Advanced RDDs -- Distributed shared variables -- Part 4. Production applications. How Spark runs on a cluster -- Developint Spark applications -- Deploying Spark -- Monitoring and debugging -- Performance tuning -- Part 5. Streaming. Stream processing fundamentals -- Structured streaming basics -- Event-time and stateful processing -- Structured streaming in production -- Part 6. Advanced analytics and machine learning. Advanced analytics and machine learning overview -- Preprocessing and feature engineering -- Classification -- Regression -- Recommendation -- Unsupervised learning -- Graph analytics -- Deep learning -- Part 7. Ecosystem. Language specifics : Python (PySpark) and R (SparkR and sparklyr) -- Ecosystem and community. Requests:  0   Copy/Holding information Location Collection Call No. Status   Hawaii State Library Business, Science & Technology 006.312 Ch Checked In Add Copy to MyList

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