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eBooks > Non-Fiction > Computing & I.T. > Databases > Data Capture & Analysis
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  • The Management of Industrial Forest Plantations : Theoretical Foundations and Applications - José G. Borges
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  • Computational Creativity Research : Towards Creative Machines - Marco Schorlemmer
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  • Algorithms and Complexity - Bozzano G Luisa
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  • Advances in Imaging and Electron Physics : Advances in Imaging and Electron Physics : Book 191 - Peter W. Hawkes
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  • Elasticsearch Essentials : Harness the power of ElasticSearch to build and manage scalable search and analytics solutions with this fast-paced guide - Bharvi Dixit
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  • Splunk Developer's Guide : Learn the A to Z of building excellent Splunk applications with the latest techniques using this comprehensive guide - Kyle Smith
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    Kyle Smith and Marco Scala
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  • Advances in Imaging and Electron Physics : Advances in Imaging and Electron Physics : Book 193 - Peter W. Hawkes
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  • Getting Started with SQL : A Hands-On Approach for Beginners - Thomas Nield
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  • Implementing Cloud Design Patterns for AWS : Create highly efficient design patterns for scalability, redundancy, and high availability in the AWS Cloud - Marcus Young
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  • Sharing Big Data Safely : Managing Data Security - Ted Dunning
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  • The New Relational Database Dictionary : Terms, Concepts, and Examples - C.J. Date
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  • Only Humans Need Apply : Winners and Losers in the Age of Smart Machines - Julia Kirby
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    Julia Kirby and Thomas H. Davenport
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  • Structured Search for Big Data : From Keywords to Key-objects - Mikhail Gilula
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  • Oracle PL/SQL Language Pocket Reference : A Guide to Oracle's PL/SQL Language Fundamentals - Steven Feuerstein
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    Steven Feuerstein, Bill Pribyl and Chip Dawes
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  • Building a Scalable Data Warehouse with Data Vault 2.0 : Implementation Guide for Microsoft SQL Server 2014 - Michael Olschimke
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    Michael Olschimke and Daniel Linstedt
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  • Oracle in a Nutshell : A Desktop Quick Reference - Rick Greenwald
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    Rick Greenwald and David C. Kreines
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  • Optimizing the Display and Interpretation of Data : Computer Science Reviews and Trends - Robert Warner
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  • Building a Recommendation System with R : Learn the art of building robust and powerful recommendation engines using R - Michele Usuelli
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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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  • Spidering Hacks : 100 Industrial-Strength Tips & Tools - Morbus Iff
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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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  • Analytical, Approximate-Analytical and Numerical Methods in the Design of Energy Analyzers : Advances in Imaging and Electron Physics : Book 192 - Peter W. Hawkes
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  • Learning to Love Data Science : Explorations of Emerging Technologies and Platforms for Predictive Analytics, Machine Learning, Digital Manufacturing and Supply Chain Optimization - Mike Barlow
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    Mike Barlow
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  • Android High Performance Programming : Build fast and efficient Android apps that run as reliably as clockwork in a multi-device world - Diego Grancini
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    Diego Grancini and Enrique López Mañas
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  • Introduction to R for Business Intelligence : Profit optimization using data mining, data analysis, and Business Intelligence - Jay Gendron
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    Jay Gendron
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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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    Joseph Babcock
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  • Learning Splunk Web Framework : Create, extend and publish real time Splunk applications. - Vincent Sesto
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    Vincent Sesto
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  • Hadoop : Data Processing and Modelling - Garry Turkington
    Hadoop
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    Garry Turkington, Tanmay Deshpande and Sandeep Karanth
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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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  • 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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  • Learning Jupyter : Select, Share, Interact and Integrate with Jupyter Notebook - Toomey
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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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  • 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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  • 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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  • 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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