Alan Beaulieu

Sanjay Mishra

Explores Oracle's implementation of SQL and explains how to perform tasks including querying time-based data, implementing conditional logic in queries, writing queries, and joining data from two or more tables.

Mastering Oracle SQL

Tushar Mahapatra

Parallel processing is becoming increasingly important to database computing. Databases often grow to enormous sizes and are accessed by huge numbers of users. This growth strains the ability of single-processor and single-computer systems to handle the load. More and more, organizations are turning to parallel processing technologies to give them the performance, scalability, and reliability they need. Anyone managing a large database, a database with a large number of concurrent users, or a database with high availability requirements--such as a heavily trafficked e-commerce site--needs to know how to get the most out of Oracle's parallel processing technologies. Oracle Parallel Processing is the first book to describe the full range of parallel processing capabilities in the Oracle environment, including those new to Oracle8i. It covers: What is parallel processing--features, benefits, and pitfalls. Who needs it and who doesn't? What features does Oracle provide, and what are their requirements and overhead implications? The book answers these questions and presents the various parallel architectures (SMP, or Symmetric Multiprocessing; MPP, or Massively Parallel Processing; clustered systems; and NUMA, or Non Uniform Memory Access). Oracle parallel execution--Oracle supports a variety of parallel execution features in the database. The book covers the use, administration, and tuning of these features: parallel query, parallel data loading, parallel DML (Data Manipulation Language), parallel object creation (through DDL, or Data Definition Language), and parallel replication propagation. Oracle Parallel Server--Oracle also provides the OPS option, which work to be spread over both multiple CPUs and multiple nodes. This book covers OPS architecture, requirements, administration, tuning, storage management, recovery, and application failover issues. Oracle Parallel Processing also contains several case studies showing how to use Oracle's parallel features in a variety of real-world situations.

Oracle Parallel Processing

The vast majority of Oracle SQL books discuss some syntax, provide the barest rudiments of using Oracle SQL, and perhaps include a few simple examples. It might be enough to pass a survey course, or give you some buzz words to drop in conversation with real Oracle DBAs. But if you use Oracle SQL on a regular basis, you want much more. You want to access the full power of SQL to write queries in an Oracle environment. You want a solid understanding of what's possible with Oracle SQL, creative techniques for writing effective and accurate queries, and the practical, hands-on information that leads to true mastery of the language. Simply put, you want useful, expert best practices that can be put to work immediately, not just non-vendor specific overview or theory.Updated to cover the latest version of Oracle, Oracle 10g, this edition of the highly regarded Mastering Oracle SQL has a stronger focus on technique and on Oracle's implementation of SQL than any other book on the market. It covers Oracle s vast library of built-in functions, the full range of Oracle SQL query-writing features, regular expression support, new aggregate and analytic functions, subqueries in the SELECT and WITH clauses, multiset union operators, enhanced support for hierarchical queries: leaf and loop detection, and the CONNECT_BY_ROOT operator, new partitioning methods (some introduced in Oracle9i Release 2), and the native XML datatype, XMLType.Mastering Oracle SQL, 2nd Edition fills the gap between the sometimes spotty vendor documentation, and other books on SQL that just don't explore the full depth of what is possible with Oracle-specific SQL. For those who want to harness the untapped (and often overlooked) power of Oracle SQL, this essential guide for putting Oracle SQL to work will prove invaluable.

Putting Oracle SQL to Work

The Oracle Utilities Pocket Reference is a handy, quick-reference guide to the multitude of Oracle utilities that database administrators (DBAs) use every hour of every day.As the undisputed leader among database products, Oracle is grasped conceptually by most DBAs. However, they understandably may not recall the specific utility to use for a given task, and, more commonly, won't in many cases remember the syntax to use. And that's exactly what the Oracle Utilities Pocket Reference supplies--the syntax and options for whatever utility a DBA needs to perform a given task.Some of the utilities documented in this guide include: SQL*Loader, for loading data expdp and exp for exporting data to another database oradebug for use in troubleshooting loadjava and dropjava for loading and unloading Java programs Packed with information in an easy-to-read format, this valuable resource is ideal for any experienced DBA. Even database programmers who deal with Oracle will truly appreciate having the Oracle Utilities Pocket Reference close at hand.Authored by Sanjay Mishra, a foremost authority on Oracle systems, this convenient and compact guide is focused and to-the-point, eliminating any potential guesswork or difficult memorization. The Oracle Utilities Pocket Reference is part of the strong-selling collection of O'Reilly "pocket reference" books.

A Quick Reference for DBAs and Developers

Oracle Utilities Pocket Reference

This title has a strong focus on practical, expert best-practices and on Oracle-specific SQL technique. It covers Oracle's vast library of built-in functions and the full range of Oracle SQl query-writing features.

Jovan Popovic

Anna Hoffman

Davide Mauri

Silvano Coriani

Here is the expert-level, insider guidance you need on using Azure SQL Database as your back-end data store. This book highlights best practices in everything ranging from full-stack projects to mobile applications to critical, back-end APIs. The book provides instruction on accessing your data from any language and platform. And you learn how to push processing-intensive work into the database engine to be near the data and avoid undue networking traffic. Azure SQL is explained from a developer's point of view, helping you master its feature set and create applications that perform well and delight users. Core to the book is showing you how Azure SQL Database provides relational and post-relational support so that any workload can be managed with easy accessibility from any platform and any language. You will learn about features ranging from lock-free tables to columnstore indexes, and about support for data formats ranging from JSON and key-values to the nodes and edges in the graph database paradigm. Reading this book prepares you to deal with almost all data management challenges, allowing you to create lean and specialized solutions having the elasticity and scalability that are needed in the modern world. What You Will Learn Master Azure SQL Database in your development projects from design to the CI/CD pipeline Access your data from any programming language and platform Combine key-value, JSON, and relational data in the same database Push data-intensive compute work into the database for improved efficiency Delight your customers by detecting and improving poorly performing queries Enhance performance through features such as columnstore indexes and lock-free tables Build confidence in your mastery of Azure SQL Database's feature set Who This Book Is For Developers of applications and APIs that benefit from cloud database support, developers who wish to master their tools (including Azure SQL Database, and those who want their applications to be known for speedy performance and the elegance of their code

Sanjay Mishra

About

Books

Join the club