Libros UCLV { BETA }

MongoDB is an open source, non-relational database system designed to meet the needs of modern Web 2.0 applications. It is currently being used by some of the most popular websites in the world. This book introduces MongoDB to the web developer who has some background building web applications using PHP. This book teaches what MongoDB is, how it is different from relational database management systems, and when and why developers should use it instead of a relational database for storing data.

Redis is a data structure server with an in-memory dataset for speed. It is called a data structure server and not simply a key value store because Redis implements data structures allowing keys to contain binary safe strings, hashes, sets and sorted sets, as well as lists. This combination of flexibility and speed makes Redis the ideal tool for many applications. Redis first started in early 2009 as a key value store developed by Salvatore Sanfilippo in order to improve the performance of his own LLOOGG, an analytics product. Redis grew in popularity after getting support from people and companies in the developer world and has since been supported by VMware, who hired Salvatore and Pieter Noordhuis to work full-time on the project.

You may be reading this book for many reasons. It could be because you heard all about Hadoopand what it can do to crunch petabytes of data in a reasonable amount of time. While reading into Hadoop you found that, for random access to the accumulated data, there is something called HBase. Or it was the hype that is prevalent these days addressing a new kind of data storage architecture. It strives to solve large-scale data problems where traditional solutions may be either too involved or cost-prohibitive. A common term used in this area is NoSQL.

We had several goals in mind for this book. Many of them were derived from thinking about that mythical perfect MySQL book that none of us had read but that we kept looking for on bookstore shelves. Others came from a lot of experience helping other users put MySQL to work in their environments. We wanted a book that wasn’t just a SQL primer. We wanted a book with a title that didn’t start or end in some arbitrary time frame (“...inThirty Days,” “Seven Days To a Better...”) anddidn’t talk down to the reader. Most of all, we wanted a book that would help you take your skills to the next level and build fast, reliable systems with MySQL—one that would answer questions like “How can I set up a cluster of MySQL servers capable of handling millions upon millions of queries and ensure that things keep running even if a couple of the servers die?”

OCA Oracle Database 11g SQL Fundamentals I. A Real World Certification Guide

Successfully clear the first stepping stone towards attaining the Oracle Certified Associate Certification on Oracle Database 11g This book uses a real world example-driven approach that is easy to understand and makes engaging Complete coverage of the prescribed syllabus Learn from a range of self-test questions to fully equip you with the knowledge to pass this exam After reading this book, you can enter the exam room with confidence, knowing that you have done all you can to prepare for the big day

Is your data dragging you down? Are your tables all tangled up? Well we've got the tools to teach you just how to wrangle your databases into submission. Using the latest research in neurobiology, cognitive science, and learning theory to craft a multi-sensory SQL learning experience, Head First SQL has a visually rich format designed for the way your brain works, not a text-heavy approach that puts you to sleep.

Programación para ORACLE

Programacion en PL / SQL para Oracle. Esta es una forma de crear excelentes programas para usar con este conocido grstor de bases de datos.

Administración y Programación en SQL Server 2008

Beginning SQL Server 2008 for Developers is for those who see themselves as becoming developers, database administrators, or a mixture of both but have yet to tread that path with SQL Server 2008. Whether you have no knowledge of databases, have knowledge of desktop databases such as Microsoft Access, or even come from a server-based background such as Oracle, this book will provide you with the insight to get up and running with SQL Server 2008.

Learning Neo4j. Run blazingly fast queries on complex graph datasets with the power of the Neo4j graph database

Who this book is for: If you are an IT professional or developer who wants to get started in the field of graph databases, this is the book for you. Anyone with prior experience with SQL in the relational database world will very quickly feel at ease with Neo4j and its Cypher query language and learn a lot from this book.

Apache Hive

Apache Hive Essentials prepares your journey to big data by covering the introduction of backgrounds and concepts in the big data domain along with the process of setting up and getting familiar with your Hive working environment in the first two chapters. In the next four chapters, the book guides you through discovering and transforming the value behind big data by examples and skills of Hive query languages. In the last four chapters, the book highlights well-selected and advanced topics, such as performance, security, and extensions as exciting adventures for this worthwhile big data journey.

Apache Hive

However, a challenge remains; how do you move an existing data infrastructure to Hadoop, when that infrastructure is based on traditional relational databases and the Structured Query Language (SQL)? What about the large base of SQL users, both expert database designers and administrators, as well as casual users who use SQL to extract information from their data warehouses? This is where Hive comes in. Hive provides an SQL dialect, called Hive Query Lan- guage (abbreviated HiveQL or just HQL) for querying data stored in a Hadoop cluster. SQL knowledge is widespread for a reason; it’s an effective, reasonably intuitive model for organizing and using data. Mapping these familiar data operations to the low-level MapReduce Java API can be daunting, even for experienced Java developers. Hive does this dirty work for you, so you can focus on the query itself. Hive translates most queries to MapReduce jobs, thereby exploiting the scalability of Hadoop, while presenting a familiar SQL abstraction. If you don’t believe us, see “Java Versus Hive: The Word Count Algorithm” on page 10 later in this chapter.

This necessary book for introduces designing, the using, fundamental and implementing concepts database systems and database applications. Our presentation stresses the fundamentals of database modeling and design, the languages and models provided by the database management systems, and database system implementation techniques. The book is meant to be used as a textbook for a one- or two-semester course in database systems at the junior, senior, or graduate level, and as a reference book. Our goal is to provide an in-depth and up-to-date presentation of the most important aspects of database systems and applications, and related technologies. We assume that readers are familiar with elementary programming and data-structuring concepts and that they have had some exposure to the basics of computer organization.

Bases de datos

Las bases de datos son el método preferido para el almacenamiento estructurado de datos. Desde las grandes aplicaciones multiusuario, hasta los teléfonos móviles y las agendas electrónicas utilizan tecnología de bases de datos para asegurar la integridad de los datos y facilitar la labor tanto de usuarios como de los programadores que las desarrollaron.