You have a mound of data front of you and a suite of computation tools at your disposal. Which parts of the data actually matter? Where is the insight hiding? If you’re a data scientist trying to navigate the murky space between data and insight, this practical book shows you how to make sense of your data through high-level questions, well-defined data analysis tasks, and visualizations to clarify understanding and gain insights along the way.When incorporated into the process ear...

A step-by-step practical implementation tutorial that equips you with high-level knowledge of configuring, deploying, extending, and integrating Splunk to bring machine-generated operational intelligence (?)to your advantage. The book targets professionals and organizations who want to implement or have already implemented Splunk for log analysis and indexing. Analysts and IT staff for end-to-end investigation, performance monitoring, and so on will also learn from the practical examples. ...

Hadoop: The Definitive Guide helps you harness the power of your data. Ideal for processing large datasets, the Apache Hadoop framework is an open source implementation of the MapReduce algorithm on which Google built its empire. This comprehensive resource demonstrates how to use Hadoop to build reliable, scalable, distributed systems: programmers will find details for analyzing large datasets, and administrators will learn how to set up and run Hadoop clusters.Complete w...

This is Part 2 of a series of quick learning guides for Oracle designers, developers and managers. Part 2 introduces completely new entrants to concepts of Oracle database analysis and design, database normalisation, the logical data model, E-R modelling and diagrams, logical to physical transformation in Oracle Designer, physical database design, de-normalization, database design for performance, and building a physical database from a server model.These guides are designed to rap...

Key FeaturesBook DescriptionThe book is intended for those who want to learn how to use Azure Machine Learning. Perhaps you already know a bit about Machine Learning, but have never used ML Studio in Azure; or perhaps you are an absolute newbie. In either case, this book will get you up-and-running quickly.What you will learnLearn to use Azure Machine Learning Studio to visualize and preprocess dataBuild models and make predic...

Create powerful, effective visualizations to help analyze your data with Tableau 10 by your sideKey Features\[\*\] Cook your favorite Tableau 10 business intelligence recipe with the help of this easy-to-follow book\[\*\] Build beautiful, interactive dashboards and visualizations in Tableau 10 that help you make informed decisions\[\*\] This rich collection of independent recipes cover everything needed to become an advanced Tableau user and ge...

If your organization is about to enter the world of big data, you not only need to decide whether Apache Hadoop is the right platform to use, but also which of its many components are best suited to your task. This field guide makes the exercise manageable by breaking down the Hadoop ecosystem into short, digestible sections. You’ll quickly understand how Hadoop’s projects, subprojects, and related technologies work together.Each chapter introduces a different topic—such as core te...

What do you need to become a data-driven organization? Far more than having big data or a crack team of unicorn data scientists, it requires establishing an effective, deeply-ingrained data culture. This practical book shows you how true data-drivenness involves processes that require genuine buy-in across your company, from analysts and management to the C-Suite and the board.Through interviews and examples from data scientists and analytics leaders in a variety of industries, aut...

Until recently, many people thought big data was a passing fad. "Data science" was an enigmatic term. Today, big data is taken seriously, and data science is considered downright sexy. With this anthology of reports from award-winning journalist Mike Barlow, you’ll appreciate how data science is fundamentally altering our world, for better and for worse.Barlow paints a picture of the emerging data space in broad strokes. From new techniques and tools to the use of data for social g...

Utilize R to uncover hidden patterns in your Big Data Key Features\[\* \] Perform computational analyses on Big Data to generate meaningful results\[\*\] Get a practical knowledge of R programming language while working on Big Data platforms like Hadoop, Spark, H2O and SQL/NoSQL databases,\[\*\] Explore fast, streaming, and scalable data analysis with the most cutting-edge technologies in the marketBook DescriptionBig Data an...

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,...

SQL Cheat Sheet & Guide, is designed as a quick reference, goto book for the working Microsoft and MySQL user. If you are like me, you like to keep all of your reference material together and not in a hundred internet searches. This QUICK LOOK reference is intended for the working IT professional in real world scenarios without having to find what you are looking for within a sea of webpage advertising, or author’s filler material.