Search results for: implementing-a-data-warehouse-with-microsoft-r-sql-server-r-2012

INTRODUCTION TO DATA MINING WITH CASE STUDIES

Author : G. K. GUPTA
File Size : 74.86 MB
Format : PDF, ePub
Download : 769
Read : 1200
Download »
The field of data mining provides techniques for automated discovery of valuable information from the accumulated data of computerized operations of enterprises. This book offers a clear and comprehensive introduction to both data mining theory and practice. It is written primarily as a textbook for the students of computer science, management, computer applications, and information technology. The book ensures that the students learn the major data mining techniques even if they do not have a strong mathematical background. The techniques include data pre-processing, association rule mining, supervised classification, cluster analysis, web data mining, search engine query mining, data warehousing and OLAP. To enhance the understanding of the concepts introduced, and to show how the techniques described in the book are used in practice, each chapter is followed by one or two case studies that have been published in scholarly journals. Most case studies deal with real business problems (for example, marketing, e-commerce, CRM). Studying the case studies provides the reader with a greater insight into the data mining techniques. The book also provides many examples, review questions, multiple choice questions, chapter-end exercises and a good list of references and Web resources especially those which are easy to understand and useful for students. A number of class projects have also been included.

Data Warehouse Systems

Author : Alejandro Vaisman
File Size : 48.94 MB
Format : PDF, ePub, Docs
Download : 427
Read : 1209
Download »
With this textbook, Vaisman and Zimányi deliver excellent coverage of data warehousing and business intelligence technologies ranging from the most basic principles to recent findings and applications. To this end, their work is structured into three parts. Part I describes “Fundamental Concepts” including multi-dimensional models; conceptual and logical data warehouse design and MDX and SQL/OLAP. Subsequently, Part II details “Implementation and Deployment,” which includes physical data warehouse design; data extraction, transformation, and loading (ETL) and data analytics. Lastly, Part III covers “Advanced Topics” such as spatial data warehouses; trajectory data warehouses; semantic technologies in data warehouses and novel technologies like Map Reduce, column-store databases and in-memory databases. As a key characteristic of the book, most of the topics are presented and illustrated using application tools. Specifically, a case study based on the well-known Northwind database illustrates how the concepts presented in the book can be implemented using Microsoft Analysis Services and Pentaho Business Analytics. All chapters are summarized using review questions and exercises to support comprehensive student learning. Supplemental material to assist instructors using this book as a course text is available at http://cs.ulb.ac.be/DWSDIbook/, including electronic versions of the figures, solutions to all exercises, and a set of slides accompanying each chapter. Overall, students, practitioners and researchers alike will find this book the most comprehensive reference work on data warehouses, with key topics described in a clear and educational style.

Microsoft SQL Server 2012 Unleashed

Author : Ray Rankins
File Size : 61.32 MB
Format : PDF, ePub
Download : 909
Read : 221
Download »
Buy the print version of¿ Microsoft SQL Server 2012 Unleashed and get the eBook version for free! eBook version includes chapters 44-60 not included in the print. See inside the book for access code and details. ¿ With up-to-the-minute content, this is the industry’s most complete, useful guide to SQL Server 2012. ¿ You’ll find start-to-finish coverage of SQL Server’s core database server and management capabilities: all the real-world information, tips, guidelines, and samples you’ll need to create and manage complex database solutions. The additional online chapters add extensive coverage of SQL Server Integration Services, Reporting Services, Analysis Services, T-SQL programming, .NET Framework integration, and much more. ¿ Authored by four expert SQL Server administrators, designers, developers, architects, and consultants, this book reflects immense experience with SQL Server in production environments. Intended for intermediate-to-advanced-level SQL Server professionals, it focuses on the product’s most complex and powerful capabilities, and its newest tools and features. Understand SQL Server 2012’s newest features, licensing changes, and capabilities of each edition Manage SQL Server 2012 more effectively with SQL Server Management Studio, the SQLCMD command-line query tool, and Powershell Use Policy-Based Management to centrally configure and operate SQL Server Utilize the new Extended Events trace capabilities within SSMS Maximize performance by optimizing design, queries, analysis, and workload management Implement new best practices for SQL Server high availability Deploy AlwaysOn Availability Groups and Failover Cluster Instances to achieve enterprise-class availability and disaster recovery Leverage new business intelligence improvements, including Master Data Services, Data Quality Services and Parallel Data Warehouse Deliver better full-text search with SQL Server 2012’s new Semantic Search Improve reporting with new SQL Server 2012 Reporting Services features Download the following from informit.com/title/9780672336928: Sample databases and code examples ¿ ¿

Data Warehousing and Knowledge Discovery

Author : Ladjel Bellatreche
File Size : 27.73 MB
Format : PDF, Docs
Download : 897
Read : 362
Download »
This book constitutes the refereed proceedings of the 15th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2013 held in Prague, Czech Republic, in August 2013. The 24 revised full papers and 8 short papers presented were carefully reviewed and selected from 89 submissions. The papers are organized in topical sections on modeling and ETL, query optimization and parallelism, spatial data warehouses and applications, text mining and OLAP, recommendation and prediction, data mining optimization and machine learning techniques, mining and processing data streams, clustering and data mining applications, social network and graph mining, and event sequence and Web mining.

Big Data Analytics With Microsoft Hdinsight in 24 Hours

Author : Manpreet Singh
File Size : 83.77 MB
Format : PDF, Docs
Download : 293
Read : 319
Download »
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 book's straightforward, step-by-step approach shows you how to provision, configure, monitor, and troubleshoot HDInsight and use Hadoop cloud services to solve real analytics problems. You'll gain more of Hadoop's benefits, with less complexity-even if you're completely new to Big Data analytics. Every lesson builds on what you've already learned, giving you a rock-solid foundation for real-world success. Practical, hands-on examples show you how to apply what you learn Quizzes and exercises help you test your knowledge and stretch your skills Notes and tips point out shortcuts and solutions Learn how to... · Master core Big Data and NoSQL concepts, value propositions, and use cases · Work with key Hadoop features, such as HDFS2 and YARN · Quickly install, configure, and monitor Hadoop (HDInsight) clusters in the cloud · Automate provisioning, customize clusters, install additional Hadoop projects, and administer clusters · Integrate, analyze, and report with Microsoft BI and Power BI · Automate workflows for data transformation, integration, and other tasks · Use Apache HBase on HDInsight · Use Sqoop or SSIS to move data to or from HDInsight · Perform R-based statistical computing on HDInsight datasets · Accelerate analytics with Apache Spark · Run real-time analytics on high-velocity data streams · Write MapReduce, Hive, and Pig programs Register your book at informit.com/register for convenient access to downloads, updates, and corrections as they become available.

Big Data Analytics with Microsoft HDInsight in 24 Hours Sams Teach Yourself

Author : Manpreet Singh
File Size : 41.13 MB
Format : PDF, ePub, Mobi
Download : 472
Read : 356
Download »
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 book’s straightforward, step-by-step approach shows you how to provision, configure, monitor, and troubleshoot HDInsight and use Hadoop cloud services to solve real analytics problems. You’ll gain more of Hadoop’s benefits, with less complexity–even if you’re completely new to Big Data analytics. Every lesson builds on what you’ve already learned, giving you a rock-solid foundation for real-world success. Practical, hands-on examples show you how to apply what you learn Quizzes and exercises help you test your knowledge and stretch your skills Notes and tips point out shortcuts and solutions Learn how to… · Master core Big Data and NoSQL concepts, value propositions, and use cases · Work with key Hadoop features, such as HDFS2 and YARN · Quickly install, configure, and monitor Hadoop (HDInsight) clusters in the cloud · Automate provisioning, customize clusters, install additional Hadoop projects, and administer clusters · Integrate, analyze, and report with Microsoft BI and Power BI · Automate workflows for data transformation, integration, and other tasks · Use Apache HBase on HDInsight · Use Sqoop or SSIS to move data to or from HDInsight · Perform R-based statistical computing on HDInsight datasets · Accelerate analytics with Apache Spark · Run real-time analytics on high-velocity data streams · Write MapReduce, Hive, and Pig programs Register your book at informit.com/register for convenient access to downloads, updates, and corrections as they become available.

Databases Illuminated

Author : Catherine M. Ricardo
File Size : 81.35 MB
Format : PDF, ePub
Download : 485
Read : 556
Download »
Databases Illuminated, Second Edition integrates database theory with a practical approach to database design and implementation. The text is specifically designed for the modern database student, who will be expected to know both theory and applied design and implementation as professionals in the field. This Second Edition has been revised and updated to incorporate information about the new releases of Access 2010, Oracle 11g, and Intersystems Cache. It includes material on the most recent topics such as, web access, JDBC, web programming, XML, data mining, and other emerging database technologies and applications. Instructor resources include Microsoft PowerPoint lecture slides, solutions to all the exercises and projects in the text, test bank, and a complete instructor's manual that includes objectives and teaching hints. Student resources include an open access companion website featuring: -downloadable code -projects with step-by-step guidance that ensure students fully understand each step before moving on to the next. -hands-on lab exercises that allow students to apply the concepts learned from the text -additional information not included in the text to allow for further study The integrated, modern approach to databases, combined with strong pedagogical features, accessible writing, and a full package of student and instructor’s resources, makes Databases Illuminated, Second Edition the perfect textbook for courses in this exciting field. New and Key Features of the updated Second Edition: -Covers the new features of the current versions of popular database management systems, including Oracle 11, Access 2010, and InterSystems Cache. -Incorporates the new curriculum recommendations in ACM Computer Science Curriculum 2008 and ACM/AIS IS2010 Curriculum Guidelines for IS2010.2, Data and Information Management, including more attention to security, concurrency, and net-centric computing. The chapter on computer ethics has been updated to take into account new regulations and practices. -Contains more material on recent and relevant topics, such as Web access, JDBC, web programming, XML, data warehousing, data mining, and other emerging database technologies and applications. -Includes the extensive object-relational features of the current release of Oracle, with downloadable code for students to implement; Object-oriented databases are implemented using InterSystems Cache, with downloadable code included on the website.