Data mining

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.

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.

Master Powerful Off-the-Shelf Business Solutions for AI and Machine Learning Pragmatic AI will help you solve real-world problems with contemporary machine learning, artificial intelligence, and cloud computing tools.

This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book.

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.

PROFITING FROM MARKETING ANALYTICS: YOUR COMPLETE EXECUTIVE ROADMAP "e;Solid ideas and experiences, well-told, for executives who need higher returns from their analytic investments.

How to Transform Your Organization with Analytics: Insider Lessons from IBM's Pioneering Experience Analytics is not just a technology: It is a better way to do business.

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.

Insurers: use analytics to drive far more value from your most important asset -- data!

Sams Teach Yourself Big Data Analytics with Microsoft HDInsight in 24 Hours In just 24 lessons of one hour or less, Sams Teach Yourself Big Data Analytics with Microsoft HDInsight in 24 Hours helps you leverage Hadoop's power on a flexible, scalable cloud platform using Microsoft's newest business intelligence, visualization, and productivity tools.

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.

Master Powerful Off-the-Shelf Business Solutions for AI and Machine Learning Pragmatic AI will help you solve real-world problems with contemporary machine learning, artificial intelligence, and cloud computing tools.

Use state-of-the-art data analytics to optimize your evaluation and selection of corporate debt investments.

This new business analytics case study challenges readers to optimize the management of global inventory and related distribution costs in a consumer goods company that imports most of its products from China.

This new business analytics case study challenges readers to help a retail coin shop owner build an Internet sale and auction site that complements his existing business while reaching customers who prefer to purchase online.

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.

This new business analytics case study challenges readers to forecast donations, plan budgets, and manage cash flow for a religious institution suffering rapidly falling contributions.

Today, business success depends on making great decisions - and making them fast.

To manage projects, you must not only control schedules and costs: you must also manage growing operational uncertainty.

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

This new business analytics case study challenges readers to project trends and plan capacity for a fast-growing craft beer operation, so it can make the best possible decisions about expensive investments in brewing capacity.

This unique case study challenges readers to use business analytics techniques to survive a bus accident in a remote area of Amboseli National Park in Kenya's Nyiri Desert, without access to communication.

This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book.

If programming is magic then web scraping is surely a form of wizardry.

THE COMPLETE GUIDE TO USING ANALYTICS TO MANAGE RISK AND UNCERTAINTY IN COMPLEX GLOBAL BUSINESS ENVIRONMENTS Practical techniques for developing reliable, actionable intelligence-and using it to craft strategy Analytical opportunities to solve key managerial problems in global enterprises Written for working managers: packed with realistic, useful examples This guide helps global managers use modern analytics to gain reliable, actionable, and timely business intelligence-and use it to manage risk, build winning strategies, and solve urgent problems.

If programming is magic then web scraping is surely a form of wizardry.

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.

NoSQL database usage is growing at a stunning 50% per year, as organizations discover NoSQL's potential to address even the most challenging Big Data and real-time database problems.

How to Transform Your Organization with Analytics: Insider Lessons from IBM's Pioneering Experience Analytics is not just a technology: It is a better way to do business.

As data management and integration continue to evolve rapidly, storing all your data in one place, such as a data warehouse, is no longer scalable.

Get efficient in performing data mining and machine learning using IBM SPSS Modeler Key FeaturesLearn how to apply machine learning techniques in the field of data scienceUnderstand when to use different data mining techniques, how to set up different analyses, and how to interpret the resultsA step-by-step approach to improving model development and performanceBook DescriptionMachine learning (ML) combined with data mining can give you amazing results in your data mining work by empowering you with several ways to look at data.

Arguably the most capable of all the open source databases, PostgreSQL is an object-relational database management system first developed in 1977 by the University of California at Berkeley.