Practical data science with Hadoop and Spark : designing and building effective analytics at scale / Ofer Mendelevitch, Casey Stella, Douglas Eadline.
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TextPublisher: Boston : Addison-Wesley, [2017]Copyright date: ©2017Description: xix, 230 pages : illustrations ; 24 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9780134024141; 0134024141Other title: Designing and building effective analytics at scaleSubject(s): Apache Hadoop | Spark (Electronic resource : Apache Software Foundation) | Electronic data processing -- Distributed processing | Big data -- Computer programs | COMPUTERS / Databases / Data Mining | COMPUTERS / Databases / Data WarehousingLOC classification: QA76.9.D5 | .M43 2017| Item type | Current library | Call number | Copy number | Status | Notes | Date due | Barcode |
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Female Library | QA76.9.D5 .M43 2017 (Browse shelf (Opens below)) | 1 | Available | STACKS | 51952000237037 | |
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Includes index.
I. Data science with Hadoop : an overview. Introduction to data science ; Use cases for data science ; Hadoop and data science -- II. Preparing and visualizing data with Hadoop. Getting data into Hadoop ; Data munging with Hadoop ; Exploring and visualizing data -- III. Applying data modeling with Hadoop. Machine learning with Hadoop ; Predictive modeling ; Clustering ; Anomaly detection with Hadoop ; Natural language processing ; Data science with Hadoop : the next frontier.
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