This session offers a technical deep dive of the state-of-art AlloyDB AI capabilities for building highly accurate and relevant generative AI applications using real-time data. We’ll cover vector search using Google Research’s ScaNN index technology and cover how you can utilize Gemini from AlloyDB operators to seamlessly integrate into your application. Discover AlloyDB AI natural language feature, a new way to interact with databases and how it accurately and securely answers your questions. Also learn about the latest research between Google and NVIDIA on GPU-accelerated vector index builds in databases.

Is siloed data hindering your operations? Learn how Nuro consolidated their transactional, relational, and vector data sets on AlloyDB for PostgreSQL, and how they’re now able to do operational analysis, real-time analytics, and business intelligence (BI) reports on the same platform. Join this panel session to discover best practices for unifying vector and relational data, and learn how Nuro is now able to satisfy their self-driven car analytics use cases in a cost-effective way.

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

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: 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 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 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.

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.

If you write programs to run against an Oracle database, you spend a lot of time and mental energy writing queries to return the data your programs need. Knowledge of SQL, and particularly of Oracle's implementation of SQL, is the key to writing good queries in a timely manner. In this book, the authors share their knowledge of Oracle SQL, and show you many creative techniques that you can use to advantage in your own applications. This book shows you how to: Leverage Oracle's vast library of built-in SQL functions Query time-based data, and write joins involving date and time ranges Use Oracle SQL's hierarchical query features to deal with data best represented in a tree format Use DECODE and CASE to implement conditional logic in your queries Use Oracle's new, analytic SQL features to write ranking queries, lag and lead queries, windowing queries, and more Join data from two or more tables using the newly supported SQL92 join syntax In addition, you'll see how SQL can best be integrated with PL/SQL. You'll also learn various best practices to help you write SQL queries that perform efficiently. Precious few books on the market today go beyond discussing syntax and the barest rudiments of using Oracle SQL. This book changes that, showing you how to creatively leverage the full power of SQL to write queries in an Oracle environment.

SQL Loader is a ubiquitous tool in the Oracle world. It has been shipped with Oracle since at least Version 6 and continues to be supported and enhanced with each new version of Oracle, including Oracle8 and Oracle8Loader is to load data from flat files into an Oracle database. It's optimized for loading large volumes of data, and is flexible enough to handle virtually any input format.Almost every Oracle user has to use SQL i. The job of SQL Loader at one time or another, and DBAs are frequently called upon to load data for the users in their organization. Despite SQLLoader's wide availability and usage, few DBAs and developers know how to get the most out of it. Oracle SQL has everything you need to know to put SQLLoader to its best use: an introduction to SQL Loader: The Definitive Guide Loader, a reference to all of its syntax options, and most importantly, step-by-step instructions for all the SQLLoader tasks you'd want to perform--and maybe some you didn't realize you COULD perform.You'll learn how to construct the necessary control files and load from different types of files containing different types of data (e.g., fixed-width data, delimited data, and data of various datatypes). You'll also learn how to validate data, load it selectively, transform it as it is loaded, and recover after failure. This book explains how to optimize SQL Loader performance by adjusting the transaction size and using the new direct path option. It also covers the newest SQLLoader features--the loading of large object (LOB) columns and the new object types (nested tables, varying arrays, and object tables). Oracle SQL is an indispensable resource for anyone who is new to SQLLoader; a task-oriented learning tool for those who are already using it; and a quick reference for every user. If you want to take best advantage of an essential Oracle tool, you need this book. Loader: The Definitive Guide

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 Oracle8 i. 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.