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  • Cassandra 3.x High Availability : Achieve scalability and high availability without compromising on performance - Robbie Strickland
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  • Mastering Predictive Analytics with Python : Exploit the power of data in your business by building advanced predictive modeling applications with Python - Joseph Babcock
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  • Learning Splunk Web Framework : Create, extend and publish real time Splunk applications. - Vincent Sesto
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  • Hadoop : Data Processing and Modelling - Garry Turkington
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  • Tableau: Creating Interactive Data Visualizations : Creating Interactive Data Visualizations - Ashutosh Nandeshwar
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  • Python : Deeper Insights into Machine Learning - Sebastian Raschka
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  • Sport Business Analytics : Using Data to Increase Revenue and Improve Operational Efficiency - Scott Bukstein C. Keith Harrison
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  • Big Data Computing : A Guide for Business and Technology Managers - Vivek Kale
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    Vivek Kale
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  • R : Recipes for Analysis, Visualization and Machine Learning - Viswa Viswanathan
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    Viswa Viswanathan, Shanthi Viswanathan and Atmajitsinh Gohil
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  • Bayesian Analysis with Python : Unleash the power and flexibility of the Bayesian framework - Osvaldo Martin
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  • Data Mining with R : Learning with Case Studies, Second Edition - Luis Torgo
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  • SQL Server 2016 Reporting Services Cookbook : Your one-stop guide to operational reporting and mobile dashboards using SSRS 2016 - Dinesh Priyankara
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    Dinesh Priyankara and Robert Cain
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  • Learning Jupyter : Select, Share, Interact and Integrate with Jupyter Notebook - Toomey
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  • Disk-Based Algorithms for Big Data - Christopher Healey
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  • MDX with Microsoft SQL Server 2016 Analysis Services Cookbook : Over 70 practical recipes to analyze multi-dimensional data in SQL Server 2016 Analysis Services cubes - Tomislav Piasevoli
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    Tomislav Piasevoli and Sherry Li
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  • Tableau 10 Business Intelligence Cookbook : Create powerful, effective visualizations with Tableau 10 - Donabel Santos
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    Donabel Santos and Paul Banoub
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  • Practical Machine Learning with H2O : Powerful, Scalable Techniques for Deep Learning and AI - Darren Cook
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  • Biometrics in a Data Driven World : Trends, Technologies, and Challenges - Sinjini Mitra
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    Sinjini Mitra and Mikhail Gofman
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  • Efficient R Programming : A Practical Guide to Smarter Programming - Colin Gillespie
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    Colin Gillespie and Robin Lovelace
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  • The Data and Analytics Playbook : Proven Methods for Governed Data and Analytic Quality - Lowell Fryman
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  • Foundations for Analytics with Python : From Non-Programmer to Hacker - Clinton W. Brownley
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    Clinton W. Brownley
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  • Big Data of Complex Networks : Chapman & Hall/CRC Big Data Series - Matthias Dehmer
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    Matthias Dehmer, Frank Emmert-Streib, Stefan Pickl and Andreas Holzinger
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    Ayanendranath Basu and Srabashi Basu
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  • Mastering CloudForms Automation : An Essential Guide for Cloud Administrators - Peter McGowan
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    Peter McGowan
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  • Using the R Commander : A Point-and-Click Interface for R - John Fox
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    John Fox
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    Nataraj Venkataramanan and Ashwin Shriram
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  • Hadoop Blueprints : Use Hadoop to solve business problems by learning from a rich set of real-life case studies - Anurag Shrivastava
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    Anurag Shrivastava, Tanmay Deshpande and Sudheesh Narayan
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    Hector Cuesta and Dr. Sampath Kumar
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  • Spark for Data Science : Analyze your data and delve deep into the world of machine learning with the latest Spark version, 2.0 - Srinivas Duvvuri
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    Srinivas Duvvuri and Bikramaditya Singhal
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  • Smart Internet of Things Projects : Discover how to build your own smart Internet of Things projects and bring a new degree of interconnectivity to your world - Agus Kurniawan
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  • Mastering QGIS : Go beyond the basics and unleash the full power of QGIS with practical, step-by-step examples - Paolo Corti
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    Paolo Corti and Luigi Pirelli
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    Jose Palala and Martin Helmich
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    Baji Shaik and Manpreet Kaur
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    Venkat Ankam and Aravind Nallan
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    Luca Massaron and Alberto Boschetti
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    Dan Vlamis and Tim Vlamis
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