SQL Server 2012 Data Integration Recipes provides focused and practical solutions to real world problems of data integration. Need to import data into SQL Server from an outside source? Need to export data and send it to another system? SQL Server 2012 Data Integration Recipes has your back. You'll find solutions for importing from Microsoft Office data stores such as Excel and Access, from text files such as CSV files, from XML, from other database brands such as Oracle and MySQL, and even from other SQL Server databases. You'll learn techniques for managing metadata, transforming data to meet the needs of the target system, handling exceptions and errors, and much more. What DBA or developer isn't faced with the need to move data back and forth? Author Adam Aspin brings 10 years of extensive ETL experience involving SQL Server, and especially satellite products such as Data Transformation Services and SQL Server Integration Services. Extensive coverage is given to Integration Services, Microsoft's flagship tool for data integration in SQL Server environments.Coverage is also given to the broader range of tools such as OPENDATASOURCE, linked servers, OPENROWSET, Migration Assistant for Access, BCP Import, and BULK INSERT just to name a few. If you're looking for a resource to cover data integration and ETL across the gamut of Microsoft's SQL Server toolset, SQL Server 2012 Data Integration Recipes is the one book that will meet your needs. * Provides practical and proven solutions towards creating resilient ETL environments * Clearly answers the tough questions which professionals ask * Goes beyond the tools to a thorough discussion of the underlying techniques * Covers the gamut of data integration, beyond just SSIS * Includes example databases and files to allow readers to test the recipes What you'll learn * Import and export to and from CSV files, XML files, and other text-based sources. * Move data between SQL databases, including SQL Server and others such as Oracle Database and MySQL. * Discover and manage metadata held in various database systems. * Remove duplicates and consolidate from multiple sources. * Transform data to meet the needs of target systems. * Profile source data as part of the discovery process.* Log and manage errors and exceptions during an ETL process. * Improve efficiency by detecting and processing only changed data. Who this book is for SQL Server 2012 Data Integration Recipes is written for developers wishing to find fast and reliable solutions for importing and exporting to and from SQL Server. The book appeals to DBAs as well, who are often tasked with implementing ETL processes. Developers and DBAs moving to SQL Server from other platforms will find the succinct, example-based approach ideal for quickly applying their general ETL knowledge to the specific tools provided as part of a SQL Server environment. Table of Contents * MS Office Data Sources * Flat File Sources * XML Data Sources * SQL Database Sources * SQL Server Sources * Miscellaneous Data Sources * Exporting Data from SQL Server * Metadata * Data Transformation * Data Profiling * Delta Data Management * Change Tracking and Change Data Capture * Optimising Data Import * ET Process Acceleration * Logging and Auditing * Appendix A: Data Types * Appendix B: Sample Databases and Scripts

This report reviews the impact of trade facilitation initiatives in Asia and the Pacific since the coronavirus disease (COVID-19) pandemic began and discusses how to increase supply chain resilience. Supply chain disruptions caused by the pandemic have underscored the need for digital and paperless trade procedures. A special chapter examines the pandemic's impact on the supply chains of critical goods such as vaccines, personal protective equipment, and food, and provides policy suggestions for enhancing supply chain resilience and trade facilitation. This is the third biennial progress report on trade facilitation implementation in Asia and the Pacific jointly prepared by the Asian Development Bank and the United Nations Economic and Social Commission for Asia and the Pacific.

Have you ever been faced with a new type of query to write, or been asked to create an unfamiliar database object? In such situations, you have probably wanted a good, solid example upon which to build, and instead have been forced into the drudgery of parsing railroad-style syntax diagrams in Oracle's manual set. This book frees you from that drudgery by providing tested and working examples of SQL used to solve common problems faced by developers and database administrators on a daily basis. When you're under pressure to get results fast, Oracle SQL Recipes is there at your side.Example-based, providing quality solutions to everyday problems Respects your time by putting solutions first and keeping discussions short Solves the most commonly encountered SQL problems What you'll learn Recognize common query patterns and apply their corresponding solutions. Solve common reporting problems such as sorting rows into buckets. Troubleshoot SQL performance problems. Create and manage database objects such as tables, indexes, and views. Work with XML and tree-structured data. Take advantage of analytic functions, regular expressions, hierarchical query support, and other powerful aspects of Oracle SQL. Who this book is for

Oracle SQL Recipes is written for developers and database administrators who write SQL to run against an Oracle database. It is further written for those whose time is precious, and who just wish for a good example to help them get on with their work. If you want to spend your time writing SQL rather than reading about it, then this is the right book for you. Table of Contents The Basics Summarizing and Aggregating Data Querying from Multiple Tables Creating and Deriving Data Common Query Patterns Working with Date and Time Values Strings Working with Numbers Managing Transactions Data Dictionary Common Reporting Problems Cleansing Data Tree-Structured Data Working with XML Data Partitioning LOBs Database Administration Object Management SQLMonitoring and Tuning Database Troubleshooting

Unlock the secrets of Access 2013 and discover how to use your data in creative ways. With this book's easy step-by-step instructions, you'll learn how to build and maintain a full-featured database and even turn it into a web app. You also get tips and practices from the pros for good database design--ideal whether you're using Access for business, school, or at home.

The important stuff you need to knowBuild a database with ease. Organize and update lists, documents, catalogs, and other types of information.Create your own web app. Let your whole team work on a database in the cloud.Share your database on a network. Link your Access database to SQL Server or SharePoint.Customize the interface. Make data entry a breeze by building your own templatesFind what you need fast. Search, sort, and summarize huge amounts of data in minutes.Put your info to use. Turn raw info into well-formatted printed reports.Dive into Access programming. Automate complex tasks and solve common challenges.

Become well versed with all of ShardingSphere's features for every data management need with this comprehensive guide put together by ShardingSphere's founder and core contributors Key Features Understand the core concepts and efficiently set up Apache ShardingSphere Enhance existing databases with sharding, elastic scaling, encryption, governance features, and more Import and customize the ecosystem's core features for various application scenarios Book DescriptionApache ShardingSphere is a new open source ecosystem for distributed data infrastructures based on pluggability and cloud-native principles that helps enhance your database. This book begins with a quick overview of the main challenges faced by database management systems (DBMSs) in production environments, followed by a brief introduction to the software's kernel concept. After that, using real-world examples of distributed database solutions, elastic scaling, DistSQL, synthetic monitoring, database gateways, and SQL authority and user authentication, you'll fully understand ShardingSphere's architectural components, how they're configured and can be plugged into your existing infrastructure, and how to manage your data and applications. You'll also explore ShardingSphere-JDBC and ShardingSphere-Proxy, the ecosystem's clients, and how they can work either concurrently or independently to address your needs. You'll then learn how to customize the plugin platform to define personalized user strategies and manage multiple configurations seamlessly. Finally, the book enables you to get up and running with functional and performance tests for all scenarios. By the end of this book, you'll be able to build and deploy a customized version of ShardingSphere, addressing the key pain points encountered in your data management infrastructure. What you will learn Assemble a custom solution using the software's pluggable architecture Discover how to use Database Plus features effectively Understand the difference between ShardingSphere-JDBC and ShardingSphere-Proxy Get to grips with ShardingSphere's pluggability mechanism Explore mainstream test models for databases and distributed databases Perform migrations from an on-premise database to a cloud-based database Reconfigure your data infrastructure and eliminate switching costs Who this book is forThis book is for database administrators working with distributed database solutions who are looking to explore the capabilities of Apache ShardingSphere. DBAs looking for more capable, flexible, and cost-effective alternatives to the solutions they're currently utilizing will also find this book helpful. To get started with this book, a basic understanding of, or even an interest in, databases, relational databases, SQL languages, cloud computing, and data management in general is needed.

This technical study examines the state of e-commerce infrastructure among CAREC countries looking at internet payment systems, delivery, and logistics infrastructure. Digital trade promotion has been a long-standing priority for member countries of the Central Asia Regional Economic Cooperation (CAREC) Program to support their integration into global value chains and economic diversification. The study underscores the importance of enabling legislation, digital literacy, and creation of trust. Comprehensive strategy; adequate data for policy making; and support for e-commerce ecosystems, industry associations, and start-ups could nurture e-commerce markets. In addition, CAREC countries must leverage international and regional initiatives to expand domestic and cross-border e-commerce and promote digital trade.

This study examines the development and describes the advanced technology used for the construction and operation of the New Khanki Barrage in Punjab, Pakistan. It highlights the socioeconomic benefits of the project to communities. Among the notable impacts of the project is an increase in agricultural outputs and income of over half a million farming families. Communities, particularly women and girls, have also benefited from new health, education, recreation, and other infrastructure. The study also presents challenges identified in the process, which offers valuable lessons in the design and implementation of other infrastructure projects. The New Khanki Barrage was financed by the Asian Development Bank through the Punjab Irrigated Agriculture Investment Program, Project 2.

This joint publication explores how big data and digitalization can support sustainable tourism development and help revitalize and reshape the sector as it emerges from the pandemic. The report, co-published with the World Tourism Organization, examines trends, challenges and opportunities in the use of big data in tourism. It highlights the need for investment in big data systems, partnerships with private and public sector big data providers, the adoption of proven measurement systems for sustainable tourism, and regional policy cooperation. Case studies from Asia and the Pacific illustrate ways of tapping big data in tourism development.

Master data management by effectively utilizing the features of Azure SQL database. Key Features Learn 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 DescriptionDespite 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 learn Understanding Azure SQL database configuration and pricing options Provisioning a new SQL database or migrating an existing on-premises SQL Server database to an Azure SQL database Backing up and restoring an Azure SQL database Securing and scaling an Azure SQL database Monitoring and tuning an Azure SQL database Implementing high availability and disaster recovery with an Azure SQL database Managing, maintaining, and securing managed instances Who this book is forThis 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.

This report explores how Asia and the Pacific can capitalize on growing opportunities in digital services through structural reforms and international cooperation. Another year into the coronavirus disease (COVID-19) pandemic, the report describes an Asia and Pacific region that has more experience in tackling pandemic hardships, better data showing positive integration trends, and greater confidence in regional cooperation to address shared concerns. The publication gives an overview of changes in trade and global value chains, cross-border investment, financial integration, and the movement of people since the pandemic began.

A hands-on implementation guide to application development in Node.js using the powerful Sequelize ORM Key Features Use the highly powerful JavaScript library to map your database to objects easily Build an application from scratch with easy-to-follow steps and examples Discover industry best practices, tips, and techniques on Sequelize to manage your database with ease Book DescriptionContinuous changes in business requirements can make it difficult for programmers to organize business logic into database models, which turns out to be an expensive operation as changes to the database may result in errors and incongruity within applications. Supercharging Node.js Applications with Sequelize helps you get to grips with Sequelize, a reliable ORM that enables you to alleviate these issues in your database and applications. With Sequelize, you'll no longer need to store information in flat files or memory. This book takes a hands-on approach to implementation and associated methodologies for your database that will have you up and running in no time. You'll learn how to configure Sequelize for your Node.js application properly, develop a better sense of understanding of how this ORM works, and find out how to manage your database from Node.js using Sequelize. Finally, you'll be able to use Sequelize as the database driver for building your application from scratch. By the end of this Node.js book, you'll be able to configure, build, store, retrieve, validate, and associate your data from a database to a Node.js application. What you will learn Configure and optimize Sequelize for your application Validate your database and hydrate it with data Add life cycle events (or hooks) to your application for business logic Organize and ensure the integrity of your data even on preexisting databases Scaffold a database using built-in Sequelize features and tools Discover industry-based best practices, tips, and techniques to simplify your application development Who this book is forThis book is for beginner- to intermediate-level Node.js developers looking to upgrade their skills and use Sequelize as their ORM of choice. Basic knowledge of and prior experience with JavaScript and SQL are needed to make the most out of this book.

Take your first steps to becoming a fully qualified data analyst by learning how to explore complex datasets Key Features Master each concept through practical exercises and activities Discover various statistical techniques to analyze your data Implement everything you've learned on a real-world case study to uncover valuable insights Book DescriptionEvery day, businesses operate around the clock, and a huge amount of data is generated at a rapid pace. This book helps you analyze this data and identify key patterns and behaviors that can help you and your business understand your customers at a deep, fundamental level. SQL for Data Analytics, Third Edition is a great way to get started with data analysis, showing how to effectively sort and process information from raw data, even without any prior experience. You will begin by learning how to form hypotheses and generate descriptive statistics that can provide key insights into your existing data. As you progress, you will learn how to write SQL queries to aggregate, calculate, and combine SQL data from sources outside of your current dataset. You will also discover how to work with advanced data types, like JSON. By exploring advanced techniques, such as geospatial analysis and text analysis, you will be able to understand your business at a deeper level. Finally, the book lets you in on the secret to getting information faster and more effectively by using advanced techniques like profiling and automation. By the end of this book, you will be proficient in the efficient application of SQL techniques in everyday business scenarios and looking at data with the critical eye of analytics professional. What you will learn Use SQL to clean, prepare, and combine different datasets Aggregate basic statistics using GROUP BY clauses Perform advanced statistical calculations using a WINDOW function Import data into a database to combine with other tables Export SQL query results into various sources Analyze special data types in SQL, including geospatial, date/time, and JSON data Optimize queries and automate tasks Think about data problems and find answers using SQL Who this book is forIf you're a database engineer looking to transition into analytics or a backend engineer who wants to develop a deeper understanding of production data and gain practical SQL knowledge, you will find this book useful. This book is also ideal for data scientists or business analysts who want to improve their data analytics skills using SQL. Basic familiarity with SQL (such as basic SELECT, WHERE, and GROUP BY clauses) as well as a good understanding of linear algebra, statistics, and PostgreSQL 14 are necessary to make the most of this SQL data analytics book.

Get well-versed with ready-to-use techniques for creating high-performance queries and applications Key Features Speed up queries and dramatically improve application performance by both understanding query engine internals and practical query optimization Understand how the query optimizer works Learn about intelligent query processing and what is new in SQL Server 2022 Book DescriptionSQL Server is a relational database management system developed by Microsoft. As a database server, it is a software product with the primary function of storing and retrieving data as requested by other software applications. This book starts by describing the inner workings of the query optimizer, and will enable you to use this knowledge to write better queries and provide the query engine with all the information it needs to produce efficient execution plans. As you progress, you'll get practical query optimization tips for troubleshooting underperforming queries. The book will also guide you through intelligent query processing and what is new in SQL Server 2022. Query performance topics such as the Query Store, In-Memory OLTP and columnstore indexes are covered as well. By the end of this book, you'll be able to get the best possible performance for your queries and applications. What you will learn Troubleshoot queries using methods including extended events, SQL Trace, and dynamic management views Understand how the execution engine and query operators work Speed up queries and improve app performance by creating the right indexes Detect and fix cardinality estimation errors by examining query optimizer statistics Monitor and promote both plan caching and plan reuse to improve app performance Troubleshoot and improve query performance by using the Query Store Improve the performance of data warehouse queries by using columnstore indexes Handle query processor limitations with hints and other methods Who this book is forThis book is for SQL Server developers who are struggling with slow query execution, database administrators who are tasked with troubleshooting slow application performance, and database architects who design SQL Server databases in support of line-of-business and data warehousing applications.

Master critical skills needed to deploy and use Databricks SQL and elevate your BI from the warehouse to the lakehouse with confidence Key Features Learn about business intelligence on the lakehouse with features and functions of Databricks SQL Make the most of Databricks SQL by getting to grips with the enablers of its data warehousing capabilities A unique approach to teaching concepts and techniques with follow-along scenarios on real datasets Book DescriptionIn this new era of data platform system design, data lakes and data warehouses are giving way to the lakehouse - a new type of data platform system that aims to unify all data analytics into a single platform. Databricks, with its Databricks SQL product suite, is the hottest lakehouse platform out there, harnessing the power of Apache Spark (TM), Delta Lake, and other innovations to enable data warehousing capabilities on the lakehouse with data lake economics. This book is a comprehensive hands-on guide that helps you explore all the advanced features, use cases, and technology components of Databricks SQL. You'll start with the lakehouse architecture fundamentals and understand how Databricks SQL fits into it. The book then shows you how to use the platform, from exploring data, executing queries, building reports, and using dashboards through to learning the administrative aspects of the lakehouse - data security, governance, and management of the computational power of the lakehouse. You'll also delve into the core technology enablers of Databricks SQL - Delta Lake and Photon. Finally, you'll get hands-on with advanced SQL commands for ingesting data and maintaining the lakehouse. By the end of this book, you'll have mastered Databricks SQL and be able to deploy and deliver fast, scalable business intelligence on the lakehouse. What you will learn Understand how Databricks SQL fits into the Databricks Lakehouse Platform Perform everyday analytics with Databricks SQL Workbench and business intelligence tools Organize and catalog your data assets Program the data security model to protect and govern your data Tune SQL warehouses (computing clusters) for optimal query experience Tune the Delta Lake storage format for maximum query performance Deliver extreme performance with the Photon query execution engine Implement advanced data ingestion patterns with Databricks SQL Who this book is forThis book is for business intelligence practitioners, data warehouse administrators, and data engineers who are new to Databrick SQL and want to learn how to deliver high-quality insights unhindered by the scale of data or infrastructure. This book is also for anyone looking to study the advanced technologies that power Databricks SQL. Basic knowledge of data warehouses, SQL-based analytics, and ETL processes is recommended to effectively learn the concepts introduced in this book and appreciate the innovation behind the platform.