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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 SparkIntroduction 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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