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Audiobooks > Non-Fiction > Computing & I.T. > Databases > Data Capture & Analysis
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  • Mastering PostgreSQL 9.6 : Master the capabilities of PostgreSQL 9.6 to efficiently manage and maintain your database - Hans-Jürgen Schönig
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  • Python Web Scraping - Second Edition : Successfully scrape data from any website with the power of Python 3.x - Richard Lawson Katharine Jarmul
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  • Python Machine Learning By Example : Take tiny steps to enter the big world of data science through this interesting guide - Yuxi (Hayden) Liu
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  • Mastering PostGIS : Write efficient GIS applications using PostGIS - from data creation to data consumption - Dominik Mikiewicz
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  • PostgreSQL Administration Cookbook, 9.5/9.6 Edition : Over 150 recipes to help you administer your PostgreSQL database more efficiently - Simon Riggs
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  • Mastering Java for Data Science : Use Java to create a diverse range of Data Science applications and bring Data Science into production - Alexey Grigorev
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  • Building Blockchain Projects : Develop real-time practical DApps using Ethereum and JavaScript - Narayan Prusty
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  • Apache Spark 2.x Cookbook : Over 70 recipes to help you use Apache Spark as your single big data computing platform and master its libraries - Rishi Yadav
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  • Data Lake for Enterprises : Lambda Architecture for building enterprise data systems - Tomcy John
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  • Python : End-to-end Data Analysis - Phuong Vothihong
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  • Agile Data Science 2.0 : Building Full-Stack Data Analytics Applications with Spark - Russell Jurney
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  • High Performance Spark : Best Practices for Scaling and Optimizing Apache Spark - Holden Karau
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  • Advanced Analytics with Spark : Patterns for Learning from Data at Scale - Sandy  Ryza
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  • Mastering Parallel Programming with R - Simon R. Chapple
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  • Splunk Operational Intelligence Cookbook - Second Edition - Paul R Johnson
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  • Practical Machine Learning Cookbook : Resolving and offering solutions to your machine learning problems with R - Atul Tripathi
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  • Deep Learning with TensorFlow : Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of this comprehensive TensorFlow guide - Giancarlo Zaccone
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  • Effective Amazon Machine Learning : Learn to leverage Amazon's powerful platform for your predictive analytics needs - Alexis Perrier
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  • Learning Apache Cassandra - Second Edition : Build a scalable, fault-tolerant and highly available data layer for your applications using Apache Cassandra - Sandeep Yarabarla
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  • Deep Learning with Keras : Get to grips with the basics of Keras to implement fast and efficient deep-learning models - Sujit Pal Antonio Gulli
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  • Machine Learning with Spark - Second Edition : Create scalable machine learning applications to power a modern data-driven business using Spark 2.x - Rajdeep Dua
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  • TensorFlow Machine Learning Cookbook : Explore machine learning concepts using the latest numerical computing library — TensorFlow — with the help of this comprehensive cookbook - 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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  • Mastering Elasticsearch 5.x - Third Edition : Master the intricacies of Elasticsearch 5 and use it to create flexible and scalable search solutions - Bharvi Dixit
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  • Learning PySpark : Build data-intensive applications locally and deploy at scale using the combined powers of Python and Spark 2.0 - Denny Lee Tomasz Drabas
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  • Scala : Guide for Data Science Professionals - Pascal Bugnion
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  • Effective Business Intelligence with QuickSight : From data to actionable business insights using Amazon QuickSight! - Rajesh Nadipalli
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  • Big Data Visualization : Learn effective tools and techniques to separate big data into manageable and logical components for efficient data visualization - James D. Miller
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  • Learning Apache Spark 2 : Learn about the fastest-growing open source project in the world, and find out how it revolutionizes big data analytics - Muhammad Asif Abbasi
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  • Java Data Science Cookbook : Recipes to help you overcome your data science hurdles using Java - Rushdi Shams
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  • Distributed Systems : Concurrency and Consistency - Matthieu Perrin
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