Data mining

The genesis of this book was a series of discussions between the two authors stretching over an extended period.

Shortlisted for the William Hill Sports Book of the Year Award 2022Football has always measured success by what you win, but only in the last twenty years have clubs started to think about how you win.

Radio 4's Book of the WeekA Financial Times Book of the YearShortlisted for the 2020 Financial Times / McKinsey Business Book of the YearLonglisted for the National Book Award 'The story of the original data science hucksters of the 1960s is hilarious, scathing and sobering - what you might get if you crossed Mad Men with Theranos' David RuncimanThe Simulmatics Corporation, founded in 1959, mined data, targeted voters, accelerated news, manipulated consumers, destabilized politics, and disordered knowledge--decades before Facebook, Google, Amazon, and Cambridge Analytica.

Nun gibt es eine Sonderausgabe – Dr.

Die Analyse von Daten soll betriebliche Entscheidungen unterstützen.

Industry 4.

Industry 4.

Using formal facility location methods, this new business analytics case study challenges readers to compare three potential locations for Narragansett Brewery's new keg-only brewing facility in Rhode Island, and identify the best alternative.

Solve Data Analytics Problems with Spark, PySpark, and Related Open Source Tools Spark is at the heart of today's Big Data revolution, helping data professionals supercharge efficiency and performance in a wide range of data processing and analytics tasks.

Making Big Data Work: Real-World Use Cases and Examples, Practical Code, Detailed Solutions Large-scale data analysis is now vitally important to virtually every business.

Using Lean Six Sigma techniques, this new case study challenges readers to analyze why a local pizza restaurant is experiencing a rapid increase in customer complaints, ranging from late delivery to poor crusts.

Whether you're a catalyst for organizational change or have the support you need to create an engineering culture that embraces A/B testing, this book will help you do it right.

If you're seeking to master business analytics, case studies offer invaluable help: they expose you to the entire decision-making process, helping you practice an active role in both performing analysis and using its output to recommend optimal decisions.

Learn everything you need to know to start using business analytics and integrating it throughout your organization.

The Example-Rich, Hands-On Guide to Data Munging with Apache HadoopTM Data scientists spend much of their time "e;munging"e; data: handling day-to-day tasks such as data cleansing, normalization, aggregation, sampling, and transformation.

Plan and Implement Hadoop Virtualization for Maximum Performance, Scalability, and Business Agility Enterprises running Hadoop must absorb rapid changes in big data ecosystems, frameworks, products, and workloads.

This new case study challenges readers to help a leading online book swap site retool its business model to overcome increased postal costs and the growing popularity of e-books.

The American way of producing health is failing.

Master alternative Big Data technologies that can do what Hadoop can't: real-time analytics and iterative machine learning.

Build agile and responsive business intelligence solutions Create a semantic model and analyze data using the tabular model in SQL Server 2016 Analysis Services to create corporate-level business intelligence (BI) solutions.

This new business analytics case study challenges readers to help a successful e-commerce startup use IPO funding to extend its niche leadership into new ventures, dissuade online competitors, and move long-time "e;bricks and mortar"e; shoppers online.

Get Started Fast with Apache Hadoop(R) 2, YARN, and Today's Hadoop Ecosystem With Hadoop 2.

Get Started Fast with Apache Hadoop(R) 2, YARN, and Today's Hadoop Ecosystem With Hadoop 2.

Today, the insights available through "e;big data"e; are potentially limitless - ranging from improved product recommendations and more well-targeted promotions to more efficient public agencies.

Using Lean Six Sigma techniques, this new case study challenges readers to analyze why a local pizza restaurant is experiencing a rapid increase in customer complaints, ranging from late delivery to poor crusts.

Advanced Analytics Methodologies is today's definitive guide to analytics implementation for MBA and university-level business students and sophisticated practitioners.

The Example-Rich, Hands-On Guide to Data Munging with Apache HadoopTM Data scientists spend much of their time "e;munging"e; data: handling day-to-day tasks such as data cleansing, normalization, aggregation, sampling, and transformation.

Take your first steps to become a fully qualified data analyst by learning how to explore large relational datasetsKey FeaturesExplore a variety of statistical techniques to analyze your dataIntegrate your SQL pipelines with other analytics technologiesPerform advanced analytics such as geospatial and text analysisBook DescriptionUnderstanding and finding patterns in data has become one of the most important ways to improve business decisions.