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Updated by Yves Mulkers on Jun 16, 2014
Headline for 7wData Hub: Books
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7wData Hub: Books

7wData : The Hub: Books: Interesting books on competing with data. From technology perspective, approaches and methodology

Tableau Dashboard Cookbook
  • Utilize the features of Tableau to create, design, and develop effective, beautiful dashboards
  • Use data visualization principles to help you to design dashboards that enlighten and support business decisions
  • Explore Tableau’s functionality with practical lessons that help you to build your own solution as you progress through the book

Author:
Jen Stirrup is an award-winning, internationally recognized business intelligence and data visualization expert, author, data strategist, and technical community advocate. She has been repeatedly honored, along with peer recognition, as one of the top 100 most globally influential tweeters on Big Data topics. Jen has over 16 years of experience in delivering Business Intelligence and data visualization projects for companies of various scales across the world.

Microsoft SQL Server 2014 Business Intelligence Development: Beginner's Guide

Discover the Dimensional Modeling concept while designing a data warehouse
Learn Data Movement based on technologies such as SSIS, MDS, and DQS
Design dashboards and reports with Microsoft BI technologies

Power Query for Power BI and Excel

Full Description Power Query for Power BI and Excel is a book for people who are tired of copying and pasting data into Excel worksheets. Power Query, part of the Microsoft Power BI suite, is a tool that automates the process of getting data into Excel and will save you hours of dull, repetitive, and error-prone work!

Key Performance Indicators (KPI): The 75 measures every manager needs to know (Financial Times Series): Bernard Marr:...

Key Performance Indicators (KPI): The 75 measures every manager needs to know (Financial Times Series) [Bernard Marr] on Amazon.com. FREE shipping on qualifying offers. By identifying and describing the most powerful financial and non-financial KPIs, this book will make life easier for you by defining them

The Intelligent Company: Five Steps to Success with Evidence-Based Management: Bernard Marr

The Intelligent Company: Five Steps to Success with Evidence-Based Management [Bernard Marr] on Amazon.com. FREE shipping on qualifying offers. Today's most successful companies are Intelligent Companies that use the best available data to inform their decision making. This is called Evidence-Based Management and is one of the fastest growing business trends of our times. Intelligent Companies bring together tools such as Business Intelligence

Managing and Delivering Performance: Bernard Marr

Managing and Delivering Performance [Bernard Marr] on Amazon.com. FREE shipping on qualifying offers. Performance management is at the top of agendas in most government and public organizations, as well as many not-for-profit organizations. In this follow up to his successful book

Strategic Performance Management

This book is about strategic performance management for the Twenty-First Century organization. In a practical step-by-step approach it navigates readers though the identification, measurement, and management of the strategic value drivers as enables of superior performance. Using many real life case examples this book outlines how organizations can visualize their value creation, design relevant and meaningful performance indicators to assess performance, and then use them to extract real management insights and improve everyday strategic decision making as well as organizational learning.

• How do we identify the strategic value drives, especially the intangibles, in our organisations?
• How do we understand their strategic value using the powerful mapping tools?
• How do we then measure the business performance?
• How do we use performance indicators to improve decision making and organisational learning?
• How do we align performance reviews and risk management with our strategy?

Big Data Now: 2012 Edition - Free Download eBook

The Big Data Now anthology is relevant to anyone who creates, collects or relies upon data. It's not just a technical book or just a business guide. Data is ubiquitous and it doesn't pay much attention to borders, so we've calibrated our coverage to

Big Data Glossary - Free Download eBook

To help you navigate the large number of new data tools available, this guide describes 60 of the most recent innovations, from NoSQL databases and MapReduce approaches to machine learning and visualization tools. Descriptions are based on first-hand

Ethics of Big Data - Free Download eBook

What are your organization's policies for generating and using huge datasets full of personal information? This book examines ethical questions raised by the big data phenomenon, and explains why enterprises need to reconsider business decisions conc

Big Data For Dummies - Free Download eBook

Big data management is one of the major challenges facing business, industry, and not-for-profit organizations. Data sets such as customer transactions for a mega-retailer, weather patterns monitored by meteorologists, or social network activity can

Big Data Analytics Using Splunk - Free Download eBook - pdf

Big Data Analytics Using Splunk is a hands-on book showing how to process and derive business value from big data in real time. Examples in the book draw from social media sources such as Twitter (tweets) and Foursquare (check-ins). You also learn to

Disruptive Possibilities: How Big Data Changes Everything FREE edition

Big data has more disruptive potential than any information technology developed in the past 40 years. As author Jeffrey Needham points out in this revealing book, big data can provide unprecedented visibility into the operational efficiency of enterprises and agencies.

Disruptive Possibilities provides an historically-informed overview through a wide range of topics, from the evolution of commodity supercomputing and the simplicity of big data technology, to the ways conventional clouds differ from Hadoop analytics clouds. This relentlessly innovative form of computing will soon become standard practice for organizations of any size attempting to derive insight from the tsunami of data engulfing them.

Real-Time Big Data Analytics: Emerging Architecture

Five or six years ago, analysts working with big datasets made queries and got the results back overnight. The data world was revolutionized a few years ago when Hadoop and other tools made it possible to get
the results from queries in minutes. But the revolution continues. Analysts now demand sub-second, near real-time query results. Fortunately, we have the tools to deliver them. This report examines tools and technologies that are driving real-time big data analytics.

Building Data Science Teams

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...

Data for the Public Good

As we move into an era of unprecedented volumes of data and computing power, the benefits aren't for business alone. Data can help citizens access government, hold it accountable and build new services to help themselves. Simply making data available is not sufficient.

Planning for Big Data - O'Reilly Media

In an age where everything is measurable, understanding big data is an essential. From creating new data-driven products through to increasing operational efficiency, big data has the potential to make your organization both more competitive and more...

The Promise and Peril of Big Data

Ever-rising floods of data are being generated by mobile networking, cloud computing and other new technologies. At the same time, continued innovations use advanced correlation techniques to analyze

"Big Data Analytics" by David Loshin FREE eBook

Book "Big Data Analytics" (David Loshin) in web ready for download!

Data Modeling for MongoDB

Congratulations! You completed the MongoDB application within the given tight timeframe and there is a party to celebrate your application's release into production. Although people are congratulating you at the celebration, you are feeling some uneasiness inside. To complete the project on time required making a lot of assumptions about the data, such as what terms meant and how calculations are derived. In addition, the poor documentation about the application will be of limited use to the support team, and not investigating all of the inherent rules in the data may eventually lead to poorly-performing structures in the not-so-distant future.