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Imagine what you could do if scalability wasn't a problem. With this hands-on guide, you’ll learn how the Cassandra database management system handles hundreds of terabytes of data while remaining highly available across multiple data centers. This third edition—updated for Cassandra 4.0—provides the technical details and practical examples you need to put this database to work in a production environment. Authors Jeff Carpenter and Eben Hewitt demonstrate the advantages of Cassandra’s nonrelational design, with special attention to data modeling. If you’re a developer, DBA, or application architect looking to solve a database scaling issue or future-proof your application, this guide helps you harness Cassandra’s speed and flexibility. Understand Cassandra’s distributed and decentralized structure Use the Cassandra Query Language (CQL) and cqlsh—the CQL shell Create a working data model and compare it with an equivalent relational model Develop sample applications using client drivers for languages including Java, Python, and Node.js Explore cluster topology and learn how nodes exchange data
“This book should satisfy those who want a different perspective than the official Oracle documentation. It will cover all important aspects of a data warehouse while giving the necessary examples to make the reading a lively experience. - Tim Donar, Author and Systems Architect for Enterprise Data Warehouses Tuning a data warehouse database focuses on large transactions, mostly requiring what is known as throughput. Throughput is the passing of large amounts of information through a server, network and Internet environment, backwards and forwards, constantly! The ultimate objective of a data warehouse is the production of meaningful and useful reporting, from historical and archived data. The trick is to make the reports print within an acceptable time frame. A data model contains tables and relationships between tables. Tuning a data model involves Normalization and Denormalization. Different approaches are required depending on the application, such as OLTP or a Data Warehouse. Inappropriate database design can make SQL code impossible to tune. Poor data modeling can have a most profound effect on database performance since all SQL code is constructed from the data model. * Takes users beyond basics to critical issues in running most efficient data warehouse applications * Illustrates how to keep data going in and out in the most productive way possible * Focus is placed on Data Warehouse performance tuning
When an application is built, an underlying data model is chosen to make that application effective. Frequently, other applications need the same data, only modeled differently. The na�ve solution of copying the underlying data and modeling is costly in terms of storage and makes data maintenance and evolution impossible. View mechanisms are a technique to model data differently for various applications without affecting the underlying format and structure of the data. The technique enables applications to customize shared data objects without affecting other applications that use the same objects. The growing data-manipulation needs of companies cannot be met by existing legacy systems that contain valuable data. Thus view mechanisms are becoming increasingly important as a way to model and use legacy data in new applications.Materialized views are views that have been computed and stored in databases. Because they reduce the need to recompute the view and/or data being queried, they speed up the querying of large amounts of data. Further, because they provide a systematic way to describe how to recompute the data, maintenance and evolution can be automated. Materialized views are especially useful in data warehousing, query optimization, integrity constraint maintenance, online analytical processing, and applications such as billing, banking, and retailing. This comprehensive volume, with a foreword by Jeff Ullman of Stanford University, will serve as a reference for students and commercial users, and encourage further use and development of materialized views.
Work with petabyte-scale datasets while building a collaborative, agile workplace in the process. This practical book is the canonical reference to Google BigQuery, the query engine that lets you conduct interactive analysis of large datasets. BigQuery enables enterprises to efficiently store, query, ingest, and learn from their data in a convenient framework. With this book, you’ll examine how to analyze data at scale to derive insights from large datasets efficiently. Valliappa Lakshmanan, tech lead for Google Cloud Platform, and Jordan Tigani, engineering director for the BigQuery team, provide best practices for modern data warehousing within an autoscaled, serverless public cloud. Whether you want to explore parts of BigQuery you’re not familiar with or prefer to focus on specific tasks, this reference is indispensable.
Materialized views are queries whose results are stored and maintained in order to facilitate access to data in their underlying base tables. In the SQL setting, they are now considered a mature technology implemented by most commercial database systems and tightly integrated into query optimization. They have also helped lay the foundation for important topics such as information integration and data warehousing. This monograph provides an introduction and reference to materialized views. We cover three fundamental problems: (1) maintaining materialized views efficiently when the base tables change, (2) using materialized views effectively to improve performance and availability, and (3) selecting which views to materialize. We also point out their connections to a few other areas in database research, illustrate the benefit of cross-pollination of ideas with these areas, and identify several directions for research on materialized views.
What does it take to develop an enterprise application with Rails? Enterprise Rails introduces several time-tested software engineering principles to prepare you for the challenge of building a high-performance, scalable website with global reach. You'll learn how to design a solid architecture that ties the many parts of an enterprise website together, including the database, your servers and clients, and other services as well. Many Rails developers think that planning for scale is unnecessary. But there's nothing worse than an application that fails because it can't handle sudden success. Throughout this book, you'll work on an example enterprise project to learn first-hand what's involved in architecting serious web applications. With this book, you will: Tour an ideal enterprise systems layout: how Rails fits in, and which elements don't rely on Rails Learn to structure a Rails 2.0 application for complex websites Discover how plugins can support reusable code and improve application clarity Build a solid data model -- a fortress -- that protects your data from corruption Base an ActiveRecord model on a database view, and build support for multiple table inheritance Explore service-oriented architecture and web services with XML-RPC and REST See how caching can be a dependable way to improve performance Building for scale requires more work up front, but you'll have a flexible website that can be extended easily when your needs change. Enterprise Rails teaches you how to architect scalable Rails applications from the ground up. "Enterprise Rails is indispensable for anyone planning to build enterprise web services. It's one thing to get your service off the ground with a framework like Rails, but quite another to construct a system that will hold up at enterprise scale. The secret is to make good architectural choices from the beginning. Chak shows you how to make those choices. Ignore his advice at your peril."-- Hal Abelson, Prof. of Computer Science and Engineering, MIT
Catapult your Oracle8i knowledge to the next level by using hundreds of Oracle8i tips and techniques provided in this one-of-a-kind reference designed for every Oracle developer and DBA. This book highlights innovative solutions that are either hidden, undocumented, or can only be discovered through many years of experience or through extensive trial and error. Packed with sample techniques and source code for use in developing, testing, deploying, and maintaining Oracle8i applications, this unique resource is ideal for all Oracle Developers and DBAs.
Prepare to pass the Oracle9i Certified Professional DBA New Features for Administrators exam using this Oracle Press study guide. You’ll get complete coverage of all exam topics followed by practice questions and chapter summaries. The CD-ROM contains hundreds of practice exam questions in an adaptive format.
In recent years, the science of managing and analyzing large datasets has emerged as a critical area of research. In the race to answer vital questions and make knowledgeable decisions, impressive amounts of data are now being generated at a rapid pace, increasing the opportunities and challenges associated with the ability to effectively analyze this data.
Sixty-six papers from the Sixth International Conference on [title], February 1990, Los Angeles. No index. Annotation copyrighted by Book News, Inc., Portland, OR.
*Ideal for anyone who wants to learn SQL programming for Oracle database. *Author has 25 years of teaching experience; 14 years of curriculum develoment experience; 14 years of experience with the Orcle database. *Book can be used as collateral/handouts for SQL training courses at universities/ high schools.
This book constitutes the refereed proceedings of the Third International Conference on Distributed Computing and Internet Technology, ICDCIT 2006, held in Bhubaneswar, India in December 2006. The 24 revised full papers and 10 revised short papers presented together with 1 keynote address and 1 invited talk were carefully reviewed and selected from 200 submissions. Covering the main areas distributed computing, internet technology, system security, data mining, and software engineering the papers are subdivided in topical sections on wireless sensor network - routing and power control, localization and coverage, mobile adhoc networks - security and reliability, quality of service, grid and distributed computing, Web services and e-commerce, Web databases, data mining, and spatio-temporal databases.
This guide covers issues that database administrators must deal with on a daily basis, including high data availability, disaster recovery and database management. It is aimed at the intermediate administrator who understands the technology, but isn't sure how it relates to business.

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