Practical and informal, this manual clearly defines Master Data Management (MDM), a set of processes and tools that consistently define and manage the nontransactional data entities of an organization. Demonstrating how to implement MDM and how to make it complement other IT solutions, this handbook proves that MDM is a fascinating and up-and-coming approach that allows organizations to run customer-centric business operations. With chapters on data governance, MDM data domains, and customer-dat...
Data warehouses are fundamentally different from OLTP (online transaction processing) systems, which are more familiar to developers and database administrators. This book gives you the concepts for understanding, designing, and delivering data warehouses as well as the technical tools for building them with MySQL.MySQL is ready to take a serious role in the data warehouse. With its speedy execution, extensive set of built-in functions, and solid data import capabilities, it has all the relevant...
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.The Definitive Guide to Microsoft SQL Server 2008 Reporting ServicesCreate and deliver data-rich reports across the enterprise using this complete server-based reporting solution. Written by a member of the original Reporting Services development team, Microsoft SQL Server 2008 Reporting Services covers the...
SQL Server Interview Questions You'll Most Likely Be Asked
Enterprise Data Governance: Reference and Master Data Management Semantic Modeling
by Pierre Bonnet
A book/CD-ROM showing how to take advantage of features of SQL Server 7.0 to design, build, and manage a data warehouse. Introduces basic concepts of data warehousing, then looks at online analytical processing services, data transformation services, advanced query processor and the MDX query langua
Azure Strategy and Implementation Guide
by Peter De Tender, Greg Leonardo, and Jason Milgram
Learn Azure’s cloud capabilities with the help of this introductory guide to employing Azure for your cloud infrastructure needs.Key FeaturesGet a clear overview of Azure's capabilities and benefits, and learn how to get started efficientlyDevelop the ability to opt for cloud architecture and design that best fits your organizationLeverage Azure opportunities for cost savings and optimizationBook DescriptionMicrosoft Azure is a powerful cloud computing platform that offers a multitude of service...
Apache Spark is amazing when everything clicks. But if you haven't seen the performance improvements you expected, or still don't feel confident enough to use Spark in production, this practical book is for you. Authors Holden Karau and Rachel Warren demonstrate performance optimizations to help your Spark queries run faster and handle larger data sizes, while using fewer resources. Ideal for software engineers, data engineers, developers, and system administrators working with large-scale data...
Data Warehouse Toolkit, The: The Definitive Guide to Dimensional Modeling
by Ralph Kimball and Margy Ross
Oracle Built-In Packages
by Steven Feuerstein, Charles Dye, and John Beresniewicz
Oracle's built-in packages extend the power of the PL/SQL language in significant ways. This volume offers a comprehensive reference to all of Oracle's built-in packages, including the new packages available with Oracle 8. The diskette includes a tool that provides easy access to the many files of source code and documentation developed by the authors.
Hadoop and Oracle: The Why, When & How Guide
by Tom Plunkett, Bruce Nelson, and Brian MacDonald
This is a complete guide for understanding Oracle's approach to Hadoop and making the most of big data inside the Oracle ecosystem. Hadoop and Oracle: The Why, When & How Guide reveals best practices for leveraging Oracle Big Data Connectors and Oracle Big Data Appliance using Hadoop. It also offers the insider tips and techniques for those who implement enterprise installations without using emerging engineered systems. Oracle big data experts offer real-world scenarios for the most efficient a...
Data Mining and Warehousing: Concepts, Methodologies, Tools and Applications provides a complete assembly of the research available in this emerging and increasingly important field of research. This multi-volume collection offers tools, designs and outcomes of the utilization of data mining and warehousing technologies, such as algorithms, concept lattices, multidimensional data, and online analytical processing.
This guide is an ideal learning tool and reference for Apache Pig, the programming language that helps you describe and run large data projects on Hadoop. With Pig, you can analyze data without having to create a full-fledged application - making it easy for you to experiment with new data sets. Programming Pig shows newcomers how to get started, and teaches intermediate users the benefits of using Pig Latin, the data flow language for building and maintaining pipelines for processing data. Adva...
Managing Reference Data in Enterprise Databases (The Morgan Kaufmann Series in Data Management Systems)
by Malcolm Chisholm
Reference data plays a key role in your business databases and must be free from defects of any kind. So why is it so hard to find information on this critical topic? Recognizing the dangers of taking reference data for granted, Managing Reference Data in Enterprise Databases gives you precisely what you've been seeking: A complete guide to the implementation and management of reference data of all kinds. This book begins with a thorough definition of reference data, then proceeds with a detaile...
XML Data Mining (Premier Reference Source) (Advances in Data Mining and Database Management)
XML Data Mining: Models, Methods, and Applications aims to collect knowledge from experts of database, information retrieval, machine learning, and knowledge management communities in developing models, methods and systems for XML data mining. This book addresses key issues and challenges in XML data mining, offering insights into the various existing solutions and best practices for modeling, processing, analyzing XML data, and for evaluating performance of XML data mining algorithms and system...
Database Systems for Next-Generation Applications: Principles and Practice (Advanced Database Research And Development, #1)
by Kim W Al
This volume is the first in a series which aims to contribute to the wider dissemination of the results of research and development in database systems for non-traditional applications and non-traditional machine organizations. It contains updated versions of selected papers from the First International Symposium on Database Systems for Advanced Applications.
SAP on Azure Implementation Guide
by Nick Morgan and Bartosz Jarkowski
Learn how to migrate your SAP data to Azure simply and successfully.Key FeaturesLearn why Azure is suitable for business-critical systemsUnderstand how to migrate your SAP infrastructure to AzureUse Lift & shift migration, Lift & migrate, Lift & migrate to HANA, or Lift & transform to S/4HANABook DescriptionCloud technologies have now reached a level where even the most critical business systems can run on them. For most organizations SAP is the key business system. If SAP is unavailable for any...
This book constitutes the refereed proceedings of the First International Conference on Data Warehousing and Knowledge Discovery, DaWaK'99, held in Florence, Italy in August/September 1999. The 31 revised full papers and nine short papers presented were carefully reviewed and selected from 88 submissions. The book is divided in topical sections on data warehouse design; online analytical processing; view synthesis, selection, and optimization; multidimensional databases; knowledge discovery; ass...