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Introduction
Part I. Getting Started1. Understanding Apache Spark2. Setting up Spark3. Programming with .NET for Apache SparkPart II. The APIs4. User-Defined Functions5. The DataFrame API6. Spark SQL and Hive Tables7. Spark Machine Learning APIPart III. Examples8. Batch Mode Processing9. Structured Streaming10. Troubleshooting 11. Delta Lake Part IV. AppendicesAppendix A. Running in the CloudAppendix B. Implementing .Net for Apache SparkProdukt Introducing .Net for Apache Spark: Distributed Processing for Massive Datasets (Elliott Ed)(Paperback) je označen EAN kódem 9781484269916.
Kategorie | Knihy |
EAN | 9781484269916 |
Introduction Part I. Getting Started1. Understanding Apache Spark2. Setting up Spark3. Programming with .NET for Apache SparkPart II. The APIs4. User-Defined Functions5. The DataFrame API6. Spark SQL and Hive Tables7. Spark Machine Learning APIPart III. Examples8. Batch Mode Processing9. Structured
Apache Spark is a fast, scalable, and flexible open source distributed processing engine for big data systems and is one of the most active open source big data projects to date. In just 24 lessons of one hour or less, Sams Teach Yourself Apache Spark in 24 Hours helps you build practical Big Data
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Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of this 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
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Shortlisted for the Desmond Elliott Prize - Longlisted for the Dylan Thomas Prize - Nominated for the Edinburgh First Book Award - One of The Observer's New Faces of Fiction - One of The Millions' Most Anticipated Books of the Year - One of The Guardian's Best Summer Books (Selected by Kayo
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Chapter 1: Introduction to Big Data Analytics.- Chapter 2: Using Phoenix for HBase.- Chapter 3: Performing CRUD operations using phoenix.- Chapter 4: Advance Querying.- Chapter 5: Transactions.- Chapter 6: Advance Phoenix concepts.- Chapter 7: Performance Tuning.- Chapter 8: Integrating Phoenix
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Suitable for exams until June
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