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Beginning SQL Server R Services

Beginning SQL Server R Services

by Bradley Beard
284 Pages · 2016 · 22.1 MB · 3,824 Downloads · New!
" You miss 100% of the shots you don’t take. ” ― Wayne Gretzky
Agile Data Science 2.0
by Russell Jurney
352 Pages · 2017 · 11.7 MB · 1,872 Downloads · New!
Data science teams looking to turn research into useful analytics applications require not only the right tools, but also the right approach if they’re to succeed. With the revised second edition of this hands-on guide, up-and-coming data scientists will learn how to use the Agile Data Science development methodology to build data applications with Python, Apache Spark, Kafka, and other tools.
Apache Hive Cookbook
by Hanish Bansal
268 Pages · 2016 · 7.7 MB · 1,419 Downloads · New!
Hive was developed by Facebook and later open sourced in Apache community. Hive provides SQL like interface to run queries on Big Data frameworks. Hive provides SQL like syntax also called as HiveQL that includes all SQL capabilities like analytical functions which are the need of the hour in today’s Big Data world.
Apache Mahout Cookbook
by Piero Giacomelli
250 Pages · 2013 · 5.5 MB · 2,253 Downloads · New!
The rise of the Internet and social networks has created a new demand for software that can analyze large datasets that can scale up to 10 billion rows. Apache Hadoop has been created to handle such heavy computational tasks. Mahout gained recognition for providing data mining classification algorithms that can be used with such kind of datasets.
Beginning SQL Server Reporting Services
by Kathi Kellenberger
352 Pages · 2016 · 24.3 MB · 3,002 Downloads · New!
Learn SQL Server Reporting Services and become current with the 2016 edition. Develop interactive, dynamic reports that combine graphs, charts, and tabular data into attractive dashboards and reports to delight business analysts and other users of corporate data. Deliver mobile reports to anywhere and any device. Build vital knowledge of Reporting Services at a time when Microsoft’s dominance in business intelligence is on the rise.
Big Data Analytics
by B.L.S. Prakasa Rao
276 Pages · 2016 · 7.4 MB · 1,974 Downloads · New!
This book has a collection of articles written by Big Data experts to describe some of the cutting-edge methods and applications from their respective areas of interest, and provides the reader with a detailed overview of the field of Big Data Analytics as it is practiced today. The chapters cover technical aspects of key areas that generate and use Big Data such as management and finance; medicine and healthcare; genome, cytome and microbiome;  graphs and networks; Internet of Things; Big Data standards; bench-marking of systems; and others. In addition to different applications, key algorithmic approaches such as graph partitioning, clustering and finite mixture modelling of high-dimensional data are also covered. The varied collection of themes in this volume introduces the reader to the richness of the emerging field of Big Data Analytics.
Big Data Fundamentals
by Paul Buhler
240 Pages · 2016 · 10.35 MB · 1,984 Downloads · New!
The Definitive Plain-English Guide to Big Data for Business and Technology Professionals