Database design and theory

LogiQL is a new state-of-the-art programming language based on Datalog.

The E-Medicine, E-Health, M-Health, Telemedicine, and Telehealth Handbook provides extensive coverage of modern telecommunication in the medical industry, from sensors on and within the body to electronic medical records and beyond.

Many organizations today analyze and share large, sensitive datasets about individuals.

Databases are designed to support data storage, processing, and retrieval activities related to data management.

Information system design and development is of interest and importance to researchers and practitioners, as advances in this discipline impact a number of other related fields and help to guide future research.

As our ability to acquire massive amounts of information about genome variation accelerates it is becoming increasingly clear that to make maximum use of this information we also need well-structured, systematic data on the phenotypic consequences of genomic changes.

Open Source Data Warehousing and Business Intelligence is an all-in-one reference for developing open source based data warehousing (DW) and business intelligence (BI) solutions that are business-centric, cross-customer viable, cross-functional, cross-technology based, and enterprise-wide.

Fundamentals of Database Indexing and Searching presents well-known database searching and indexing techniques.

Large Scale and Big Data: Processing and Management provides readers with a central source of reference on the data management techniques currently available for large-scale data processing.

Linked Data Management presents techniques for querying and managing Linked Data that is available on today's Web.

Although today's job market requires IT professionals to understand cloud computing theories and have hands-on skills for developing real-world database systems, there are few books available that integrate coverage of both.

Market Basket Analysis (MBA) provides the ability to continually monitor the affinities of a business and can help an organization achieve a key competitive advantage.

Build efficient data flow and machine learning programs with this flexible, multi-functional open-source cluster-computing frameworkKey FeaturesMaster the art of real-time big data processing and machine learning Explore a wide range of use-cases to analyze large data Discover ways to optimize your work by using many features of Spark 2.

This is an overview of the end-to-end data cleaning process.

This is an overview of the end-to-end data cleaning process.

Get a solid grounding in Apache Oozie, the workflow scheduler system for managing Hadoop jobs.

Get a solid grounding in Apache Oozie, the workflow scheduler system for managing Hadoop jobs.

Data in all domains is getting bigger.

Data in all domains is getting bigger.

Views are virtual tables.

Views are virtual tables.

Whether youre building a social media site or an internal-use enterprise application, this hands-on guide shows you the connection between MongoDB and the business problems its designed to solve.

What makes this book different from others on database design?

CouchDB is a new breed of database for the Internet, geared to meet the needs of todays dynamic web applications.

CouchDB is a new breed of database for the Internet, geared to meet the needs of todays dynamic web applications.

What makes this book different from others on database design?

Do you know what to do if your web application goes viral and usage suddenly explodes?

Do you know what to do if your web application goes viral and usage suddenly explodes?

Todays highly interactive websites pose a challenge for traditional SQL databasesthe ability to scale rapidly and serve loads of concurrent users.

Todays highly interactive websites pose a challenge for traditional SQL databasesthe ability to scale rapidly and serve loads of concurrent users.

To help you navigate the large number of new data tools available, this guide describes 60 of the most recent innovations, from NoSQL databases and MapReduce approaches to machine learning and visualization tools.

Two years since its initial release, Redis already has an impressive list of adopters, including Engine Yard, GitHub, Craigslist, and Digg.

How do you use R to import, manage, visualize, and analyze real-world data?

This practical guide offers a short course on scaling CouchDB to meet the capacity needs of your distributed application.

How do you use R to import, manage, visualize, and analyze real-world data?

This practical guide offers a short course on scaling CouchDB to meet the capacity needs of your distributed application.

Two years since its initial release, Redis already has an impressive list of adopters, including Engine Yard, GitHub, Craigslist, and Digg.

Market Basket Analysis (MBA) provides the ability to continually monitor the affinities of a business and can help an organization achieve a key competitive advantage.

Best-selling author and database expert with more than 25 years of experience modeling application and enterprise data, Dr.

Open Source Data Warehousing and Business Intelligence is an all-in-one reference for developing open source based data warehousing (DW) and business intelligence (BI) solutions that are business-centric, cross-customer viable, cross-functional, cross-technology based, and enterprise-wide.

Due to the increasing complexity in application workloads and query engines, database administrators are turning to automated tuning tools that systematically explore the space of physical design alternatives.

The advent of relational databasing and data storage capacity, coupled with revolutionary advances in molecular sequencing technology and specimen imaging, have led to a taxonomic renaissance.

This guide demonstrates how to secure sensitive data and comply with internal and external audit regulations using Oracle 10g and 11g.

Providing key information on how to work with research data, Introduction to Data Technologies presents ideas and techniques for performing critical, behind-the-scenes tasks that take up so much time and effort yet typically receive little attention in formal education.

As it is with building a house, most of the work necessary to build a data warehouse is neither visible nor obvious when looking at the completed product.

Optimize Your Chemical DatabaseDesign and Use of Relational Databases in Chemistry helps programmers and users improve their ability to search and manipulate chemical structures and information, especially when using chemical database "e;cartridges"e;.

Effective decision support systems (DSS) are quickly becoming key to businesses gaining a competitive advantage, and the effectiveness of these systems depends on the ability to construct, maintain, and extract information from data warehouses.

ARE YOU PREPARED FOR THE LAW ENFORCEMENT IT REVOLUTION?

Modern hydrology is more interdisciplinary than ever.

As Web-based systems and e-commerce carry businesses into the 21st century, databases are becoming workhorses that shoulder each and every online transaction.