A comprehensive guide to design, build and execute effective Big Data strategies using HadoopKey Features-Get an in-depth view of the Apache Hadoop ecosystem and an overview of the architectural patterns pertaining to the popular Big Data platform-Conquer different data processing and analytics challenges using a multitude of tools such as Apache Spark, Elasticsearch, Tableau and more-A comprehensive, step-by-step guide that will teach you ever...

As data science evolves to become a business necessity, the importance of assembling a strong and innovative data teams grows. In this in-depth report, data scientist DJ Patil explains the skills, perspectives, tools and processes that position data science teams for success.Topics include: What it means to be "data driven." The unique roles of data scientists. The four essential qualities of data scientists. Patil's first-hand experience building the LinkedIn dat...

Need to move a relational database application to Hadoop? This comprehensive guide introduces you to Apache Hive, Hadoop’s data warehouse infrastructure. You’ll quickly learn how to use Hive’s SQL dialect—HiveQL—to summarize, query, and analyze large datasets stored in Hadoop’s distributed filesystem.This example-driven guide shows you how to set up and configure Hive in your environment, provides a detailed overview of Hadoop and MapReduce, and demonstrates how Hive works within t...

The Essential Guide to Protecting Your Business InformationWritten by Oracle ACE Director and MySQL expert Ronald Bradford, Effective MySQL: Backup and Recovery covers all the options with detailed descriptions and syntax examples to ensure an appropriate backup and recovery plan can be developed. Featuring a side-by-side evaluation of the various backup strategies and complementary recovery implementations, this Oracle Press book helps you to protect your...

Data collection, processing, analysis, and moreAbout This BookYour entry ticket to the world of data science with the stability and power of JavaExplore, analyse, and visualize your data effectively using easy-to-follow examplesA highly practical course covering a broad set of topics - from the basics of Machine Learning to Deep Learning and Big Data frameworks.Who This Book Is ForThis course is meant for...

Get to grips with the fundamentals of data mining and predictive analytics with IBM SPSS Modeler Key Features\[\*\]Get up–and-running with IBM SPSS Modeler without going into too much depth.\[\*\]Identify interesting relationships within your data and build effective data mining and predictive analytics solutions\[\*\]A quick, easy–to-follow guide to give you a fundamental understanding of SPSS Modeler, written by the best in the business

Leverage Elastic Stack's machine learning features to gain valuable insight from your dataKey FeaturesCombine machine learning with the analytic capabilities of Elastic StackAnalyze large volumes of search data and gain actionable insight from themUse external analytical tools with your Elastic Stack to improve its performanceBook DescriptionMachine Learning with the Elastic Stack is a comprehensive overview of the embedded c...