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  • XQuery : Search Across a Variety of XML Data - Priscilla Walmsley
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  • Essential SQLAlchemy : Mapping Python to Databases - Jason Myers
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    Jason Myers and Rick Copeland
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  • Apache Cassandra Essentials : Create your own massively scalable Cassandra database with highly responsive database queries - Nitin Padalia
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  • Python Data Visualization Cookbook (Second Edition) : Visualize data using Python's most popular libraries - Igor Milovanovic
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    Igor Milovanovic, Dimitry Foures and Giuseppe Vettigli
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  • Learning Couchbase : Design documents and implement real world e-commerce applications with Couchbase - Henry Potsangbam
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  • Learning Azure DocumentDB : Create outstanding enterprise solutions around DocumentDB using the latest technologies and programming tools with Azure - Riccardo Becker
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  • Building Applications on Mesos : Leveraging Resilient, Scalable, and Distributed Systems - David Greenberg
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  • Cyber Security Awareness for CEOs and Management - David Willson
    Cyber Security Awareness for CEOs and Management
    David Willson and Henry Dalziel
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  • Mobile Data Loss : Threats and Countermeasures - Michael T. Raggo
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  • Getting Started with Data Science : Making Sense of Data with Analytics - Murtaza Haider
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    Murtaza Haider
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  • Ecommerce Analytics : Analyze and Improve the Impact of Your Digital Strategy - Judah Phillips
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  • Always On : Digital Brand Strategy in a Big Data World - Arve Peder Øverland
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    Arve Peder Øverland
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  • Hadoop Real-World Solutions Cookbook : Over 90 hands-on recipes to help you learn and master the intricacies of Apache Hadoop 2.X, YARN, Hive, Pig, Oozie, Flume, Sqoop, Apache Spark, and Mahout - Tanmay Deshpande
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    Tanmay Deshpande
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  • Mastering JBoss Drools 6 : Discover the power of Drools 6 and Business Rules for developing complex scenarios in your applications - Mauricio Salatino
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    Mauricio Salatino, Mariano De Maio and Esteban Aliverti
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  • Oracle Database 12c Oracle RMAN Backup and Recovery - Matthew Hart
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    Matthew Hart and Robert G. Freeman
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  • R Machine Learning By Example : Understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems successfully - Raghav Bali
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    Raghav Bali
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  • Mastering .NET Machine Learning : Use machine learning in your .NET applications - Jamie Dixon
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    Jamie Dixon
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  • Learning Responsive Data Visualization : Create stunning data visualizations that look awesome on every device and screen resolutions - Erik Hanchett
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    Erik Hanchett and Christoph Körner
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  • Learning SQLite for iOS : Extend SQLite with mobile development skills to build great apps for iOS devices - Gene Da Rocha
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  • Patterns of Data Modeling : Emerging Directions in Database Systems and Applications - Michael Blaha
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    Michael Blaha
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  • Data Management for Researchers : Organize, maintain and share your data for research success - Kristin Briney
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  • Mastering Python Data Visualization : Generate effective results in a variety of visually appealing charts using the plotting packages in Python - Kirthi Raman
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    Kirthi Raman
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  • Elasticsearch for Hadoop : Integrate Elasticsearch into Hadoop to effectively visualize and analyze your data - Vishal Shukla
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    Vishal Shukla
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  • Data Analysis and Business Modeling with Excel 2013 : Manage, analyze, and visualize data with Microsoft Excel 2013 to transform raw data into ready to use information - David Rojas
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    David Rojas
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  • Web Development with MongoDB and NodeJS : Build an interactive and full-featured web application from scratch using Node.js and MongoDB - Mithun Satheesh
    Web Development with MongoDB and NodeJS
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    Mithun Satheesh, Bruno Joseph D'mello and Jason Krol
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  • MariaDb Essentials : Quickly get up to speed with MariaDB—the leading, drop-in replacement for MySQL, through this practical tutorial - Emilien Kenler
    MariaDb Essentials
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    Emilien Kenler
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  • Spidering Hacks : 100 Industrial-Strength Tips & Tools - Morbus Iff
    Spidering Hacks
    100 Industrial-Strength Tips & Tools
    Morbus Iff and Tara Calishain
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  • SQL and Relational Theory : How to Write Accurate SQL Code - C.J. Date
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    C.J. Date
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  • To the Cloud : Big Data in a Turbulent World - Vincent Mosco
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    Vincent Mosco
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  • Sports Analytics and Data Science : Winning the Game with Methods and Models - Thomas W. Miller
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    Thomas W. Miller
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  • OS X El Capitan : The Missing Manual - David Pogue
    OS X El Capitan
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    David Pogue
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  • Julia for Data Science : high-performance computing simplified - Anshul Joshi
    Julia for Data Science
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    Anshul Joshi
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  • Python : Real World Machine Learning - Prateek Joshi
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    Prateek Joshi, John Hearty, Bastiaan Sjardin, Luca Massaron and Alberto Boschetti
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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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    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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    Vivek Kale
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  • R : Recipes for Analysis, Visualization and Machine Learning - Viswa Viswanathan
    R
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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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    Osvaldo Martin
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  • Data Mining with R : Learning with Case Studies, Second Edition - Luis Torgo
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    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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    Toomey
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  • Disk-Based Algorithms for Big Data - Christopher Healey
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    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
    MDX with Microsoft SQL Server 2016 Analysis Services Cookbook
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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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    Darren Cook
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  • Excel Tables : A Complete Guide for Creating, Using and Automating Lists and Tables - Zack Barresse
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    Zack Barresse and Kevin Jones
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  • HBase High Performance Cookbook : Solutions for optimization, scaling and performance tuning - Ruchir Choudhry
    HBase High Performance Cookbook
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    Ruchir Choudhry
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  • Applied Computing in Medicine and Health : Emerging Topics in Computer Science and Applied Computing - Dhiya Al-Jumeily
    Applied Computing in Medicine and Health
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    Dhiya Al-Jumeily, Abir Hussain, Conor Mallucci and Carol Oliver
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  • Leadership Strategies in the Age of Big Data, Algorithms, and Analytics - Norton Paley
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    Norton Paley
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  • Elasticsearch 5.x Cookbook : Distributed Search and Analytics - Alberto Paro
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    Alberto Paro
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  • PostgreSQL High Availability Cookbook : Managing a reliable PostgreSQL database - Shaun Thomas
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    Shaun Thomas
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  • TensorFlow Machine Learning Cookbook : Over 60 practical recipes to help you master Google's TensorFlow machine learning library - Nick McClure
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    Nick McClure
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  • Learning Kibana 5.0 : Exploit the visualization capabilities of Kibana and build powerful interactive dashboards - Bahaaldine Azarmi
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  • Effective Business Intelligence with QuickSight : Boost your business IQ with Amazon QuickSight - Rajesh Nadipalli
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  • Big Data Visualization : Bring scalability and dynamics to your Big Data visualization - James D. Miller
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    James D. Miller and Dalong Chen
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  • SQL Server 2016 Developer's Guide : Build efficient database applications for your organization with SQL Server 2016 - Dejan Sarka
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    Dejan Sarka, William Durkin and Milo?° Radivojeviƒá
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  • Learning Quantitative Finance with R : Implement machine learning, time-series analysis, algorithmic trading and more - Dr. Param Jeet
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  • Python Data Analysis, Second Edition : Data manipulation and complex data analysis with Python - Armando Fandango
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  • Learning Apache Spark 2 : A beginner's guide to real-time Big Data processing using the Apache Spark framework - Muhammad Asif Abbasi
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  • Java Data Science Cookbook : Explore the power of MLlib, DL4j, Weka, and more - Rushdi Shams
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  • PostgreSQL High Performance Cookbook : Mastering query optimization, database monitoring, and performance-tuning for PostgreSQL - Dinesh Kumar
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  • Mastering Spark for Data Science : Lightning fast and scalable data science solutions - Andrew Morgan
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    Andrew Morgan, Antoine Amend, Matthew Hallett and David George
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  • Distributed Systems : Concurrency and Consistency - Matthieu Perrin
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  • Music Data Analysis : Foundations and Applications - Claus Weihs
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  • Principles of Data Science : Mathematical techniques and theory to succeed in data-driven industries - Sinan Ozdemir
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  • Mastering RethinkDB : Master the skills of building real-time apps dramatically easier with open source, scalable database - RethinkDB - Shahid Shaikh
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  • Practical Business Intelligence : Optimize Business Intelligence for Efficient Data Analysis - Ahmed Sherif
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  • Apache Spark for Data Science Cookbook : Solve real-world analytical problems - Padma Priya Chitturi
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  • Fast Data Processing Systems with SMACK Stack : Combine the incredible powers of Spark, Mesos, Akka, Cassandra, and Kafka to build data processing platforms that can take on even the hardest of your data troubles! - Raúl Estrada
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  • Scientific Computing with Python 3 : An example-rich, comprehensive guide for all of your Python computational needs - Claus Fuhrer
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    Claus Fuhrer, Jan Erik Solem, Olivier Verdier and Claus Führer
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  • Tableau Cookbook - Recipes for Data Visualization : Create beautiful data visualizations and interactive dashboards with Tableau - Shweta Savale
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  • Mastering Text Mining with R : Extract and recognize your text data - KUMAR ASHISH
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