Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle. Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers. You'll understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, and governance that are critical in any data environment regardless of the underlying technology. This book will help you: Get a concise overview of the entire data engineering landscape Assess data engineering problems using an end-to-end framework of best practices Cut through marketing hype when choosing data technologies, architecture, and processes Use the data engineering lifecycle to design and build a robust architecture Incorporate data governance and security across the data engineering lifecycle

When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it’s often difficult to understand what each one offers and how they differ. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals. Throughout the book, you’ll explore relevant material gleaned from numerous books, papers, blog posts, and the source code of several open source databases. These resources are listed at the end of parts one and two. You’ll discover that the most significant distinctions among many modern databases reside in subsystems that determine how storage is organized and how data is distributed. This book examines: Storage engines: Explore storage classification and taxonomy, and dive into B-Tree-based and immutable Log Structured storage engines, with differences and use-cases for each Storage building blocks: Learn how database files are organized to build efficient storage, using auxiliary data structures such as Page Cache, Buffer Pool and Write-Ahead Log Distributed systems: Learn step-by-step how nodes and processes connect and build complex communication patterns Database clusters: Which consistency models are commonly used by modern databases and how distributed storage systems achieve consistency

Master data management by effectively utilizing the features of Azure SQL database. Key FeaturesLearn to automate common management tasks with PowerShell.Understand different methods to generate elastic pools and shards to scale Azure SQL databases.Learn to develop a scalable cloud solution through over 40 practical activities and exercises.Book Description Despite being the cloud version of SQL Server, Azure SQL Database and Azure SQL Managed Instance stands out in various aspects when it comes to management, maintenance, and administration. Updated with the latest Azure features, Professional Azure SQL Managed Database Administration continues to be a comprehensive guide for becoming proficient in data management. The book begins by introducing you to the Azure SQL managed databases (Azure SQL Database and Azure SQL Managed Instance), explaining their architecture, and how they differ from an on-premises SQL server. You will then learn how to perform common tasks, such as migrating, backing up, and restoring a SQL Server database to an Azure database. As you progress, you will study how you can save costs and manage and scale multiple SQL databases using elastic pools. You will also implement a disaster recovery solution using standard and active geo-replication. Finally, you will explore the monitoring and tuning of databases, the key features of databases, and the phenomenon of app modernization. By the end of this book, you will have mastered the key aspects of an Azure SQL database and Azure SQL managed instance, including migration, backup restorations, performance optimization, high availability, and disaster recovery. What you will learnUnderstanding Azure SQL database configuration and pricing optionsProvisioning a new SQL database or migrating an existing on-premises SQL Server database to an Azure SQL databaseBacking up and restoring an Azure SQL databaseSecuring and scaling an Azure SQL databaseMonitoring and tuning an Azure SQL databaseImplementing high availability and disaster recovery with an Azure SQL databaseManaging, maintaining, and securing managed instancesWho this book is for This book is designed to benefit database administrators, database developers, or application developers who are interested in developing new applications or migrating existing ones with Azure SQL database. Prior experience of working with an on-premise SQL Server or Azure SQL database along with a basic understanding of PowerShell scripts and C# code is necessary to grasp the concepts covered in this book.

Applying revision control system and source code control system.

Data pipelines are the foundation for success in data analytics. Moving data from numerous diverse sources and transforming it to provide context is the difference between having data and actually gaining value from it. This pocket reference defines data pipelines and explains how they work in today's modern data stack. You'll learn common considerations and key decision points when implementing pipelines, such as batch versus streaming data ingestion and build versus buy. This book addresses the most common decisions made by data professionals and discusses foundational concepts that apply to open source frameworks, commercial products, and homegrown solutions. You'll learn: What a data pipeline is and how it works How data is moved and processed on modern data infrastructure, including cloud platforms Common tools and products used by data engineers to build pipelines How pipelines support analytics and reporting needs Considerations for pipeline maintenance, testing, and alerting

Textbook on data processing methodology for the design and implementation of database information systems - outlines three distinct theoretical approaches to database systems design, namely, the relational, hierarchical, and network analysis approaches, and discusses the problems of computer confidentiality and integrity, etc. Diagrams and references.

THE GREATEST ROMANCE NOVEL OF ALL TIME! A SPLENDID MUST-READ MASTERPIECE. Since its immediate success in 1813, Pride and Prejudice has remained one of the most popular novels in the English language. Jane Austen called this brilliant work "her own darling child" and its vivacious heroine, Elizabeth Bennet, "as delightful a creature as ever appeared in print." The romantic clash between the opinionated Elizabeth and her proud beau, Mr. Darcy, is a splendid performance of civilized sparring. And Jane Austen's radiant wit sparkles as her characters dance a delicate quadrille of flirtation and intrigue, making this book the most superb comedy of manners of Regency England. Among the writers who have approached nearest to the manner of the great master, we have no hesitation in placing Jane Austen. --Thomas Macaulay 'Pride and Prejudice' is the best novel in the language. --Anthony Trollope I used to think that men did everything better than women, but that was before I read Jane Austen. I don't think any man ever wrote better than Jane Austen. --Rex Stout Elizabeth Bennet has but to speak, and I am at her knees. --Robert Louis Stevenson Read again, and for the third time at least, Miss Austen's very finely written novel of 'Pride and Prejudice.' That young lady has a talent for describing the involvements and feelings and characters of ordinary life which is to me the most wonderful I ever met with. --Sir Walter Scott

Microsoft Office 2007 is a major upgrade from the last version of Office; Access will also be greatly revised. Alison Balter is the name that Access developers will trust to guide them through Access 2007's new features. She has the rare ability to take complex topics and explain them clearly, as shown by the success of her ten previous books on Access. Balter is known for providing real-world solutions to specific Access development problems. She also is known for her ability to back up her practical examples with just enough underlying theory to give the reader a good overall understanding of Access. In short, this book will provide beginning and intermediate Access developers with everything that they need to know to design and build Access 2007 applications. It should also appeal to DBAs and power users who want or need to get started building custom Access apps. This latest book in her Mastering Access series will not disappoint her many fans who anxiously await each new version, and should win her new fans as well.

A guide to relational database design covers such topics as setting objectives, establishing table structures, and identifying and establishing business rules.

Databases Illuminated, Third Edition Includes Navigate 2 Advantage Access combines database theory with a practical approach to database design and implementation. Strong pedagogical features, including accessible language, real-world examples, downloadable code, and engaging hands-on projects and lab exercises create a text with a unique combination of theory and student-oriented activities. Providing an integrated, modern approach to databases, Databases Illuminated, Third Edition is the essential text for students in this expanding field.