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Even as data is turning the world upside down, the next revolution is taking shape: realtime data analysis. Data tools like Hadoop are batch-oriented; they're good at taking a set of data, analyzing it, and giving you the result later. But these tools are not particularly good at handling streaming data: data that is constantly arriving, and results that are changing as fast as the data arrives. Storm is a new tool that solves that problem. This book gets you started with it.

Bitemporal data has always been important. But it was not until 2011 that the ISO released a SQL standard that supported it. Currently, among major DBMS vendors, Oracle, IBM and Teradata now provide at least some bitemporal functionality in their flagship products. But to use these products effectively, someone in your IT organization needs to know more than how to code bitemporal SQL statements. Perhaps, in your organization, that person is you. To correctly interpret business requests for te...

Time series data analysis is increasingly important due to the massive production of such data through the internet of things, the digitalization of healthcare, and the rise of smart cities. As continuous monitoring and data collection become more common, the need for competent time series analysis with both statistical and machine learning techniques will increase. Covering innovations in time series data analysis and use cases from the real world, this practical guide will help you solve the...

Capturing and analyzing data about customers, products, and the market is essential to staying competitive. Microsoft SQL Server is a leading database tool, and with its ease of use and low total ownership cost, you can customize it to meet your ever-changing business needs. SQL Server 2005 has many enhanced tools that fall into three main categories: data management, developer tools, and business intelligence. SQL Server 2005 for Developers teaches you how to leverage these new tools by coverin...

DESCRIPTION The massive datasets required for most modern businesses are too large to safely store and efficiently process on a single server. Hadoop is an open source data processing framework that provides a distributed file system that can manage data stored across clusters of servers and implements the MapReduce data processing model so that users can effectively query and utilize big data. The new Hadoop 2.0 is a stable, enterprise-ready platform supported by a rich ecosystem of tools...

Data warehousing and online analysis technologies have shown their effectiveness in managing and analyzing a large amount of disparate data, attracting much attention from numerous research communities. ""Data Warehousing Design and Advanced Engineering Applications: Methods for Complex Construction"" covers the complete process of analyzing data to extract, transform, load, and manage the essential components of a data warehousing system. A defining collection of field discoveries, this advance...

Oracle 10g Developing Media Rich Applications is focused squarely on database administrators and programmers as the foundation of multimedia database applications. With the release of Oracle8 Database in 1997, Oracle became the first commercial database with integrated multimedia technology for application developers. Since that time, Oracle has enhanced and extended these features to include native support for image, audio, video and streaming media storage; indexing, retrieval and processing i...

Explore the latest Azure ETL techniques both on-premises and in the cloud using Azure services such as SQL Server Integration Services (SSIS), Azure Data Factory, and Azure DatabricksKey FeaturesUnderstand the key components of an ETL solution using Azure Integration ServicesDiscover the common and not-so-common challenges faced while creating modern and scalable ETL solutionsProgram and extend your packages to develop efficient data integration and data transformation solutionsBook DescriptionE...

"If you are looking for a complete treatment of business intelligence, then go no further than this book. Larissa T. Moss and Shaku Atre have covered all the bases in a cohesive and logical order, making it easy for the reader to follow their line of thought. From early design to ETL to physical database design, the book ties together all the components of business intelligence."--Bill Inmon, Inmon EnterprisesBusiness Intelligence Roadmap is a visual guide to developing an effective business int...

Multimedia Information Extraction and Digital Heritage Preservation is an edited volume of contributions by various distinguished researchers on issues in digital libraries, particularly in connection with heritage documents. This excellent collection of 21 papers covers various aspects of the problem. Cultural and scientific heritage resources are of fundamental value for human civilization, and their preservation is of utmost importance to mankind. Such preservation work has two aspects. First...

This volume contains the proceedings of the Third International DMTF Academic Alliance Workshop on Systems and Virtualization Management: Standards and the Cloud (SVM 2009) held in Wuhan, China, during September 22-23, 2009. The SVM 2009 proceedings are intended for use by students of systems and vir- alization management. The reader is presumed to have a basic knowledge of systems management technologies and standards at the level provided, for example, by the Common Information Model (CIM) sta...

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