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Real Time Analytics with SAP HANA

Real Time Analytics with SAP HANA

by Vinay Singh

SAP HANA is an in-memory database created by SAP. SAP HANA breaks traditional database barriers to simplify IT landscapes, eliminating data preparation, pre-aggregation, and tuning. SAP HANA and in-memory computing allow you to instantly access huge volumes of structured and unstructured data, including text data, from different sources.Starting with data modeling, this fast-paced guide shows you how to add...

Price:  $30.00  |  Publisher:  Packt Publishing  |  Release:  2015

Pentaho Analytics for MongoDB Cookbook

Pentaho Analytics for MongoDB Cookbook

by Joel Latino, Harris Ward

MongoDB is an open source, schemaless NoSQL database system. Pentaho as a famous open source Analysis tool provides high performance, high availability, and easy scalability for large sets of data. The variant features in Pentaho for MongoDB are designed to empower organizations to be more agile and scalable and also enables applications to have better flexibility, faster performance, and lower costs.Whethe...

Price:  $44.99  |  Publisher:  Packt Publishing  |  Release:  2015

Python Machine Learning

Python Machine Learning

by Sebastian Raschka

Machine learning and predictive analytics are transforming the way businesses and other organizations operate. Being able to understand trends and patterns in complex data is critical to success, becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace. Python can help you deliver key insights into your data - its unique capabilities as a language let you build sophi...

Price:  $4.76  |  Publisher:  Packt Publishing  |  Release:  2015

Learning Apache Mahout

Learning Apache Mahout

by Chandramani Tiwary

In the past few years the generation of data and our capability to store and process it has grown exponentially. There is a need for scalable analytics frameworks and people with the right skills to get the information needed from this Big Data. Apache Mahout is one of the first and most prominent Big Data machine learning platforms. It implements machine learning algorithms on top of distributed processing...

Price:  $44.99  |  Publisher:  Packt Publishing  |  Release:  2015

Fast Data Processing with Spark, 2nd Edition

Fast Data Processing with Spark, 2nd Edition

by Krishna Sankar, Holden Karau

Spark is a framework used for writing fast, distributed programs. Spark solves similar problems as Hadoop MapReduce does, but with a fast in-memory approach and a clean functional style API. With its ability to integrate with Hadoop and built-in tools for interactive query analysis (Spark SQL), large-scale graph processing and analysis (GraphX), and real-time analysis (Spark Streaming), it can be interactiv...

Price:  $29.99  |  Publisher:  Packt Publishing  |  Release:  2015

Real-time Analytics with Storm and Cassandra

Real-time Analytics with Storm and Cassandra

by Shilpi Saxena

This book will teach you how to use Storm for real-time data processing and to make your applications highly available with no downtime using Cassandra.The book starts off with the basics of Storm and its components along with setting up the environment for the execution of a Storm topology in local and distributed mode. Moving on, you will explore the Storm and Zookeeper configurations, understand the Stor...

Price:  $44.99  |  Publisher:  Packt Publishing  |  Release:  2015

Learning ELK Stack

Learning ELK Stack

by Saurabh Chhajed

The ELK stack - Elasticsearch, Logstash, and Kibana, is a powerful combination of open source tools. Elasticsearch is for deep search and data analytics. Logstash is for centralized logging, log enrichment, and parsing. Kibana is for powerful and beautiful data visualizations. In short, the Elasticsearch ELK stack makes searching and analyzing data easier than ever before.This book will introduce you to the...

Price:  $44.45  |  Publisher:  Packt Publishing  |  Release:  2015

Azure Machine Learning

FREE EBOOK - Azure Machine Learning

by Jeff Barnes

This third ebook in the series introduces Microsoft Azure Machine Learning, a service that a developer can use to build predictive analytics models (using training datasets from a variety of data sources) and then easily deploy those models for consumption as cloud web services. The ebook presents an overview of modern data science theory and principles, the associated workflow, and then covers some of the ...

Publisher:  Microsoft Press  |  Release:  2015

Machine Learning in Python

Machine Learning in Python

by Michael Bowles

Machine Learning in Python shows you how to successfully analyze data using only two core machine learning algorithms, and how to apply them using Python. By focusing on two algorithm families that effectively predict outcomes, this book is able to provide full descriptions of the mechanisms at work, and the examples that illustrate the machinery with specific, hackable code. The algorithms are explained in...

Price:  $25.97  |  Publisher:  Wiley  |  Release:  2015

Dashboards for Excel

Dashboards for Excel

by Jordan Goldmeier, Purnachandra Duggirala

The book takes a hands-on approach to developing dashboards, from instructing users on advanced Excel techniques to addressing dashboard pitfalls common in the real world. Dashboards for Excel is your key to creating informative, actionable, and interactive dashboards and decision support systems. Throughout the book, the reader is challenged to think about Excel and data analytics differently - that is, to...

Price:  $39.65  |  Publisher:  Apress  |  Release:  2015

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