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Splunk Best Practices

Operational intelligent made simpler

2016

EN

Design, implement, and publish custom Splunk applications by following best practicesKey Features\[\*\] This is the most up-to-date guide on the market and will help you finish your tasks faster, easier, and more efficiently.\[\*\] Highly practical guide that addresses common and not-so-common pain points in Splunk.\[\*\] Want to explore shortcuts to perform tasks more efficiently with Splunk? This is the book for you!Book Descrip...

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2011

EN

This collection represents the full spectrum of data-related content we’ve published on O’Reilly Radar over the last year. Mike Loukides kicked things off in June 2010 with “What is data science?” and from there we’ve pursued the various threads and themes that naturally emerged. Now, roughly a year later, we can look back over all we’ve covered and identify a number of core data areas:Data issues -- The opportunities and ambiguities of the data space are evident in discussions...

Free

2014

EN

If you are interested in creating maps for the web GIS data, this book is for you. Familiarity with D3.js will be helpful but is not necessary.

2014

EN

If you are a software developer working with data visualizations and want to build complex data visualizations, this book is for you. Basic knowledge of D3 framework is expected. With real-world examples, you will learn how to structure your applications to create enterprise-level charts and interactive dashboards.


2017

EN

Understand, evaluate, and visualize dataAbout This BookLearn basic steps of data analysis and how to use Python and its packagesA step-by-step guide to predictive modeling including tips, tricks, and best practicesEffectively visualize a broad set of analyzed data and generate effective resultsWho This Book Is ForThis book is for Python Developers who are keen to get into data analysis and wish to visuali...

Learning R

A Step-by-Step Function Guide to Data Analysis

2013

EN

Learn how to perform data analysis with the R language and software environment, even if you have little or no programming experience. With the tutorials in this hands-on guide, youâ??ll learn how to use the essential R tools you need to know to analyze data, including data types and programming concepts.The second half of Learning R shows you real data analysis in action by covering everything from importing data to publishing your results. Each chapter in the book includ...

PHP1,972.19

Learning ELK Stack

Build mesmerizing visualizations, analytics, and logs from your data using Elasticsearch, Logstash, and Kibana

2015

EN

Key FeaturesBook DescriptionThe 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 ELK (Elasticsearch...

2014

EN

Do you want to broaden your Hadoop skill set and take your knowledge to the next level? Do you wish to enhance your knowledge of Hadoop to solve challenging data processing problems? Are your Hadoop jobs, Pig scripts, or Hive queries not working as fast as you intend? Are you looking to understand the benefits of upgrading Hadoop? If the answer is yes to any of these, this book is for you. It assumes novice-level familiarity with Hadoop.

Advanced Splunk

Master the art of getting the maximum out of your machine data using Splunk


2016

EN

Master the art of getting the maximum out of your machine data using SplunkKey Features\[\*\] A practical and comprehensive guide to the advanced functions of Splunk,, including the new features of Splunk 6.3\[\*\] Develop and manage your own Splunk apps for greater insight from your machine data\[\*\] Full coverage of high-level Splunk techniques including advanced searches, manipulations, and visualizationBook DescriptionMa...

Mastering Predictive Analytics with R

Master the craft of predictive modeling by developing strategy, intuition, and a solid foundation in essential concepts

2015

EN

Key FeaturesBook DescriptionThis book is intended for the budding data scientist, predictive modeler, or quantitative analyst with only a basic exposure to R and statistics. It is also designed to be a reference for experienced professionals wanting to brush up on the details of a particular type of predictive model. Mastering Predictive Analytics with R assumes familiarity with only the fundamentals of R, such as the main data types, simple functions,...

Learning Elastic Stack 7.0

Distributed search, analytics, and visualization using Elasticsearch, Logstash, Beats, and Kibana

2019

EN

A beginner\\'s guide to storing, managing, and analyzing data with the updated features of Elastic 7.0Key FeaturesGain access to new features and updates introduced in Elastic Stack 7.0Grasp the fundamentals of Elastic Stack including Elasticsearch, Logstash, and KibanaExplore useful tips for using Elastic Cloud and deploying Elastic Stack in production environmentsBook DescriptionThe Elastic Stack is a powerful combination o...

Introduction to R for Business Intelligence

Profit optimization using data mining, data analysis, and Business Intelligence

2016

EN

Learn how to leverage the power of R for Business IntelligenceKey Features\[\*\] Use this easy-to-follow guide to leverage the power of R analytics and make your business data more insightful.\[\*\] This highly practical guide teaches you how to develop dashboards that help you make informed decisions using R.\[\*\] Learn the A to Z of working with data for Business Intelligence with the help of this comprehensive guide.Book Descr...