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Practical Data Science With Hadoop and Spark : Designing and Building Effective Analytics at Scale

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As adoption of Hadoop accelerates in the enterprise and beyond, there's soaring demand for those who can solve real world problems by applying advanced data science techniques in Hadoop environments. Now there's a complete and up-to-date guide to data science with Hadoop: high-level concepts, deep-dive techniques, practical applications, hands-on tutorials, and real-world use cases. Drawing on their immense experience with Hadoop in enterprise Big Data environments, this book's authors bring together all the practical knowledge you'll need to do real, useful data science with Hadoop. Coverage includes:

  • What data science is, what data scientists do, and how to build or join a data science team
  • Core data science applications in retail, healthcare, insurance, banking, education, and beyond
  • How Hadoop has evolved into an outstanding environment for doing data science
  • A day in the life of a data scientist: exploration, iteration, and more
  • Getting your data into Hadoop: data lakes, Sqoop, Flume, Falcon, and more
  • Preparing your data, from start to finish
  • Data modeling and machine learning
  • Visualization: how (and how not) to use it
  • Start-to-finish case studies: recommender systems, customer segmentation, sentiment analysis, and predictive risk modeling
  • The future: Storm online scoring, GIRAPH graph algorithms, Solr/Elastic search, and more

As adoption of Hadoop accelerates in the enterprise and beyond, there's soaring demand for those who can solve real world problems by applying advanced data science techniques in Hadoop environments. Now there's a complete and up-to-date guide to data science with Hadoop: high-level concepts, deep-dive techniques, practical applications, hands-on tutorials, and real-world use cases. Drawing on their immense experience with Hadoop in enterprise Big Data environments, this book's authors bring together all the practical knowledge you'll need to do real, useful data science with Hadoop. Coverage includes:

  • What data science is, what data scientists do, and how to build or join a data science team
  • Core data science applications in retail, healthcare, insurance, banking, education, and beyond
  • How Hadoop has evolved into an outstanding environment for doing data science
  • A day in the life of a data scientist: exploration, iteration, and more
  • Getting your data into Hadoop: data lakes, Sqoop, Flume, Falcon, and more
  • Preparing your data, from start to finish
  • Data modeling and machine learning
  • Visualization: how (and how not) to use it
  • Start-to-finish case studies: recommender systems, customer segmentation, sentiment analysis, and predictive risk modeling
  • The future: Storm online scoring, GIRAPH graph algorithms, Solr/Elastic search, and more
Number of Pages: 230
Genre: Computers + Internet
Sub-Genre: Database Managemnet / Data Warehousing, Database Management / Data Mining
Series Title: Addison-wesley Data & Analytics
Format: Paperback
Publisher: Prentice Hall
Author: Ofer Mendelevitch & Casey Stella & Doug Eadline
Language: English
Street Date: December 22, 2016
TCIN: 26395574
UPC: 9780134024141
Item Number (DPCI): 247-50-9957
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$42.74
MSRPReg: $44.99 Save $2.25 (5% off)
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