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Database Internals A DeepDive Into How Distributed Data Systems Work

determine how storage is organized and how data is distributed. This book examines: Storage engines: Explore storage classification and;

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Distributed Database Architecture

In distributed systems, clients access data that is stored in multiple server locations. The computers in a distributed system are called;

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Distributed Database Systems

meet the urgent need for integration of heterogeneous collections of data. This book adopts a practical approach, reviewing the fundamentals;

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Understanding MySQL Internals

an Architecture Overview that provides a brief introduction of how the different components of MySQL work together. You then learn the steps;

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Distributed Database Management Systems

sampleframeworks implemented using J2SE with JMS, J2EE, andMicrosoft .Net that readers can use to learn how to implementa distributed database management;

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Essence Of Databases

on database design provides a detailed summary of semantic data modelling concepts and examines how they are implemented in commonly used;

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Pro SQL Server Internals

Improve your ability to develop, manage, and troubleshoot SQL Server solutions by learning how different components work under the hood;

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Database Systems

technology for more than seven years. The text is organised into a number of parts. The introductory chapters set the scene for the core of the text;

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Getting Started with CockroachDB

you to understand how it provides faster access to distributed data through a SQL interface. The book will also uncover how you can use the;

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Oracle Core

, its extensive feature set is really built upon upon a core infrastructure resulting from sound architectural decisions made very early on that;

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Principles of Distributed Database Systems

(distributed storage systems, MapReduce, Spark, data stream processing, graph analytics) and on NoSQL, NewSQL and polystore systems. It also includes;

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Principles of Distributed Database Systems

(distributed storage systems, MapReduce, Spark, data stream processing, graph analytics) and on NoSQL, NewSQL and polystore systems. It also includes;

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Expert SQL Server Transactions and Locking

application customers. This book explains how to troubleshoot and address blocking problems and deadlocks, and write code and design database schemas;

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PostgreSQL 9.0 High Performance

insight into hard-to-obtain information about your database. This book is aimed at intermediate to advanced database administrators using or;

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Distributed Computing in Java 9

of Enterprise Integration Patterns * Work with Distributed Database technologies * Understand how to develop and deploy a distributed application on;

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Database Systems

Most modern-day organizations have a need to record data relevant to their everyday activities and many choose to organise and store some;

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Database Systems

Most modern-day organizations have a need to record data relevant to their everyday activities and many choose to organise and store some;

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SQL Pocket Guide

If you use SQL in your day-to-day work as a data analyst, data scientist, or data engineer, this popular pocket guide is your ideal on-the;

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Database and Expert Systems Applications

High Dimensional Databases; Data Mining; Authenticity, Privacy, Security, and Trust; Data Clustering; Distributed and Big Data Processing;

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Database and Expert Systems Applications

High Dimensional Databases; Data Mining; Authenticity, Privacy, Security, and Trust; Data Clustering; Distributed and Big Data Processing;

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Using SQLite

use SQLite, a small and lightweight database that you can build right into your application during development. Applications that handle data;

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Hadoop: The Definitive Guide

studies that demonstrate how Hadoop is used to solve specific problems. * Store large datasets with the Hadoop Distributed File System (HDFS;

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Distributed Data Mining and Mining Multi-Agent Data

in the global data seen at all the different probes. There could be different models of distributed data mining here, but one could involve a NOC;

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PostgreSQL

approach that makes it easy to understand how each feature is implemented, how to best use each feature, and how to get more performance from;

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Expert SQL Server In-Memory OLTP

What You'll Learn Grasp how SQL Server stores and works with data in memory-optimized tables Properly design and index memory-optimized tables;

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Principles of Database Query Processing for Advanced Applications

a variety of data forms and database systems, whether structured or unstructured.* This is the only reference work that covers;

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Database Management Systems

management Concurrency control Recovery Query Optimisation Distributed Management Systems Object-oriented data models Object-relational;

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