文件名称:
Data.Analytics.with.Hadoop.An.Introduction.for.Data.Scientists.pdf
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上传时间: 2017-03-28
详细说明： Ready to use statistical and machine-learning techniques across large data sets? This practical guide shows you why the Hadoop ecosystem is perfect for the job. Instead of deployment, operations, or software development usually associated with distributed comput ing, you’ll focus on particular analyses you can build, the data warehousing techniques that Hadoop provides, and higher order data workflows this framework can produce. Data scientists and analysts will learn how to perform a wide range of techniques, from writing MapReduce and Spark applications with Python to using advanced modeling and data management with Spark MLlib, Hive, and HBase. You’ll also learn about the analytical processes and data systems available to build and empower data products that can handle—and actually require—huge amounts of data. Understand core concepts behind Hadoop and cluster computing Use design patterns and parallel analytical algorithms to create distributed data analysis jobs Learn about data management, mining, and warehousing in a distributed context using Apache Hive and HBase Use Sqoop and Apache Flume to ingest data from relational databases Program complex Hadoop and Spark applications with Apache Pig and Spark DataFrames Perform machine learning techniques such as classification, clustering, and collaborative filtering with Spark’s MLlib Table of Contents Part I. Introduction to Distributed Computing Chapter 1. The Age of the Data Product Chapter 2. An Operating System for Big Data Chapter 3. A Framework for Python and Hadoop Streaming Chapter 4. In-Memory Computing with Spark Chapter 5. Distributed Analysis and Patterns Part II. Workflows and Tools for Big Data Science Chapter 6. Data Mining and Warehousing Chapter 7. Data Ingestion Chapter 8. Analytics with Higher-Level APIs Chapter 9. Machine Learning Chapter 10. Summary: Doing Distributed Data Science Appendix A. Creating a Hadoop Pseudo-Distributed Development Environment Appendix B. Installing Hadoop Ecosystem Products ...展开收缩
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