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Apache Mahout Cookbook

Apache Mahout Cookbook

by Piero Giacomelli
250 Pages · 2013 · 5.5 MB · 2,258 Downloads · New!
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" Happiness doesn't result from what we get, but from what we give. ” ― Ben Carson
Agile Data Science 2.0
by Russell Jurney
352 Pages · 2017 · 11.7 MB · 1,873 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 · 1,424 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.
Beginning SQL Server R Services
by Bradley Beard
284 Pages · 2016 · 22.1 MB · 3,828 Downloads · New!
Learn how to develop powerful data analytics applications quickly for SQL Server database administrators and developers. Organizations will be able to sift data and derive the business intelligence needed to drive business decisions and profit. The addition of R to SQL Server 2016 places a powerful analytical processor into an environment most developers are already comfortable with – Visual Studio. This book walks even the newest of users through the creation process of a powerful R-language tool set for use in analyzing and reporting on your data.
Beginning SQL Server Reporting Services
by Kathi Kellenberger
352 Pages · 2016 · 24.3 MB · 3,005 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 · 1,981 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 Analytics Methods
by Peter Ghavami
304 Pages · 2015 · · 0 Downloads · New!
The “Big Data Analytics Methods: Analytic Techniques in Data Mining, Deep Learning and Natural Language Processing, 2nd Edition” is a great book that reveals all about data mining. Peter Ghavami is the author of this enlightening book. Peter id the head of IT Development, BI and Data Analytics at Gartner Corporation, USA. This book has an excellent resource that will engage the reader from start to end of the page. With the help of this book, you will know more than 100 techniques and methods provide big data professionals and business intelligence professionals, but Peter also reveals how to overcome challenges and avoid common pitfalls and traps in data analytics. Peter reveals some solutions and tips on handling missing data, error reduction and boosting the signal to reduce noise. Furthermore, Big Data Analytics Methods state the art of the treatment of advanced data analytics methods and modern practices that will help the readers succeed in data analytics. To sum it up, Big Data Analytics Methods is a great book for all undergraduate students.