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Whether it is learning different techniques to monitor and tune an Azure SQL database or improving performance using in-memory technology, this book will enable you to make the most out of Azure SQL database features and functionality for data management solutions.
Microsoft Azure (Computing platform) --- Database management. --- SQL server.
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Long description: Grundlagen und Schlüsseltechniken verstehen und mit vielen Beispielen vertiefen Konzepte und typische Arbeitsschritte verständlich und kompakt erklärt Die SQL-Beispiele laufen ohne Änderungen auf MySQL und (ggf. mit geringfügigen Änderungen) auf neueren Versionen von Oracle Database, DB2 und SQL Server Mit SQL Daten von diversen Plattformen und nicht-relationalen Datenbanken verarbeiten SQL-Kenntnisse sind nach wie vor unverzichtbar, um das Beste auf Ihren Daten herauszuholen. In seinem Handbuch vermittelt Alan Beaulieu die nötigen SQL-Grundlagen, um Datenbankanwendungen zu schreiben, administrative Aufgaben durchzuführen und Berichte zu erstellen. Sie finden neue Kapitel zu analytischen Funktionen, zu Strategien für die Arbeit mit großen Datenbanken sowie zu SQL und großen Datenmengen.Jedes Kapitel präsentiert eine in sich geschlossene Lektion zu einem Schlüsselkonzept oder einer Schlüsseltechnik von SQL und nutzt hierfür zahlreiche Abbildungen und kommentierte Beispiele. Durch Übungen vertiefen Sie die erlernten Fähigkeiten. Biographical note: Alan Beaulieu beschäftigt sich seit mehr als 30 Jahren mit dem Entwurf und der Erstellung von maßgeschneiderten Datenbankanwendungen. Er betreibt seine eigene Beratungsfirma, die auf den Entwurf, die Entwicklung und Performance-Optimierung sehr großer Datenbanken spezialisiert ist, vor allem im Bereich Finanzdienstleistungen. Alan verbringt gern Zeit mit seiner Familie, spielt in einer Band Schlagzeug, zupft seine Tenor-Ukulele oder ist auf der Suche nach dem perfekten Picknick-Plätzchen, wenn er mit seiner Frau wandern geht. Er hat einen Bachelor of Science von der Cornell University School of Engineering.
Oracle --- MySQL --- relationale Datenbanken --- SQL Server --- DB2 --- Apache Drill --- nicht-relationale Datenbanken --- SQL-Anweisungen --- SQL-Abfragen
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Learn effective and scalable database design techniques in SQL Server 2019 and other recent SQL Server versions. This book is revised to cover additions to SQL Server that include SQL graph enhancements, in-memory online transaction processing, temporal data storage, row-level security, and other design-related features. This book will help you design OLTP databases that are high-quality, protect the integrity of your data, and perform fast on-premises, in the cloud, or in hybrid configurations. Designing an effective and scalable database using SQL Server is a task requiring skills that have been around for well over 30 years, using technology that is constantly changing. This book covers everything from design logic that business users will understand to the physical implementation of design in a SQL Server database. Grounded in best practices and a solid understanding of the underlying theory, author Louis Davidson shows you how to "get it right" in SQL Server database design and lay a solid groundwork for the future use of valuable business data. You will: Develop conceptual models of client data using interviews and client documentation Implement designs that work on premises, in the cloud, or in a hybrid approach Recognize and apply common database design patterns Normalize data models to enhance integrity and scalability of your databases for the long-term use of valuable data Translate conceptual models into high-performing SQL Server databases Secure and protect data integrity as part of meeting regulatory requirements Create effective indexing to speed query performance Understand the concepts of concurrency.
Database management. --- Microsoft software. --- Microsoft .NET Framework. --- Database Management. --- Microsoft and .NET. --- Computer software --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Electronic data processing --- SQL server. --- Microsoft SQL server
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Design and configure SQL Server instances and databases in support of high-throughput, mission-critical applications providing consistent response times in the face of variations in numbers of users and query volumes. In this new edition, with over 100 pages of additional content, every original chapter has been updated for SQL Server 2019, and the book also includes two new chapters covering SQL Server on Linux and Intelligent Query Processing. This book shows you how to configure SQL Server and design your databases to support a given instance and workload. You will learn advanced configuration options, in-memory technologies, storage and disk configuration, and more, all aimed toward enabling your desired application performance and throughput. Configuration doesn’t stop with implementation. Workloads change over time, and other impediments can arise to thwart desired performance. High Performance SQL Server covers monitoring and troubleshooting to aid you in detecting and fixing production performance problems and minimizing application outages. You will learn about a variety of tools, ranging from the traditional wait analysis methodology to the query store or indexing, and you will learn how improving performance is an iterative process. This book is an excellent complement to query performance tuning books and provides the other half of what you need to know by focusing on configuring the instances on which mission-critical queries are executed. You will: Understand SQL Server's database engine and how it processes queries Configure instances in support of high-throughput applications Provide consistent response times to varying user numbers and query volumes Design databases for high-throughput applications with focus on performance Record performance baselines and monitor SQL Server instances against them Troubleshot and fix performance problems.
Microsoft software. --- Microsoft .NET Framework. --- Database management. --- Microsoft and .NET. --- Database Management. --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Electronic data processing --- Computer software --- SQL server. --- Microsoft SQL server
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Database management. --- Virtual computer systems. --- Cloud computing. --- SQL server. --- Electronic data processing --- Web services --- Machine systems, Virtual --- Virtual machine systems --- Computer systems --- Digital computer simulation --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Distributed processing --- Microsoft SQL server
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