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.

Get up to speed with Oracle's Autonomous Databases and implementation strategies for any workload or use case, including transactional, data warehousing, and non-relational databases Key Features Explore ADB, its business benefits, and architectural considerations Migrate the existing workload to ADB, explore high availability, and use cloud native methods for monitoring and event notifications Leverage APEX, JSON, the REST API, and SQL Developer Web features for rapid development Book DescriptionOracle Autonomous Database (ADB) is built on the world's fastest Oracle Database Platform, Exadata, and is delivered on Oracle Cloud Infrastructure (OCI), customer data center (ExaCC), and Oracle Dedicated Region Cloud. This book is a fast-paced, hands-on introduction to the most important aspects of OCI Autonomous Databases. You'll get to grips with concepts needed for designing disaster recovery using standby database deployment for Autonomous Databases. As you progress, you'll understand how you can take advantage of automatic backup and restore. The concluding chapters will cover topics such as the security aspects of databases to help you learn about managing Autonomous Databases, along with exploring the features of Autonomous Database security such as Data Safe and customer-managed keys for Vaults. By the end of this Oracle book, you'll be able to build and deploy an Autonomous Database in OCI, migrate databases to ADB, comfortably set up additional high-availability features such as Autonomous Data Guard, and understand end-to-end operations with ADBs. What you will learn Explore migration methods available for Autonomous Databases, using both online and offline methods Create standby databases, RTO and RPO objectives, and Autonomous Data Guard operations Become well-versed with automatic and manual backups available in ADB Implement best practices relating to network, security, and IAM policies Manage database performance and log management in ADB Understand how to perform data masking and manage encryption keys in OCI's Autonomous Databases Who this book is forThis book is for decision makers, enterprise cloud architects, solution consultants, cloud engineers, implementation partners, and technology students, as well as anyone who wants to learn about Oracle's Autonomous Databases delivered on Oracle Cloud Infrastructure (OCI). Beginner-level knowledge of Linux and OCI and networking concepts and databases, along with hands-on experience in OCI environments is required before getting started with 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.

This report illustrates why Southeast Asian countries need big data for recovery from COVID-19 to radically transform the delivery of key services such as health care, social protection, and education. The final of a four-part series, it looks at the impact of the pandemic on Cambodia, Thailand, Indonesia, Myanmar, and the Philippines to determine how big data can help governments analyze the challenges they face. It outlines policy reforms and recommendations to help capture the benefits of big data, including drawing up digital roadmaps, improving technical infrastructure, and ramping up training to create a skilled workforce to lead the digital transformation.

This edition provides analysis of tax systems and their administration in 38 economies across the region as a resource for revenue bodies seeking to boost fiscal capacity weakened by the pandemic. Topics covered include features of an effective tax reform strategy, the use of innovative technologies, taxing the digital economy, and international cooperation to help crack down on tax loopholes. The publication enables revenue bodies to benchmark their administration against similar economies in the region to help improve performance. The comparable data and analysis are based largely on the 2020 round of the International Survey on Revenue Administration.

This report identifies and examines six key technologies that are transforming fundamental financial market infrastructure and will serve as a springboard for the technological advancement of financial market infrastructure in the region. This report ascertains the most current status of technology adoption by Cross-Border Settlement Infrastructure Forum member organizations. They include central securities depositories and central banks in the Association of Southeast Asian Nations (ASEAN) plus the People's Republic of China, Japan, and the Republic of Korea (collectively known as ASEAN+3) region.

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.

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.

This publication sets out considerations for policymakers embarking on planning and implementing a digital transformation of tax administration. Digitalization can play a key role in helping tax authorities lower compliance and administrative costs, collect more revenue more efficiently, enhance transparency and service to taxpayers, and accommodate big data flows. This report explores how tax administrations can use technology and how risks can be identified and reduced. It provides an assessment framework to support policymakers as they begin the planning process and outlines considerations for effective implementation of the tax administration of the future.

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.

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.

Thorough and updated coverage of database design and SQL for DB2 are the focus of this guide for the relational database-management system used on IBM i computer systems. Suitable for classroom instruction or self-study, this book explains the most widely used database language and the way that language is implemented on a variety of computer platforms. Topics covered include database concepts, SQL inquiries, web applications, and database security, and the material is reinforced by numerous illustrations, examples, and exercises.

This book examines the scope, potential benefits, and challenges of digital platforms in Asia and the Pacific. It proposes measures and policies to help maximize social and economic gains while alleviating adverse effects. The coronavirus disease (COVID-19) pandemic is accelerating digital transformation across Asia and the Pacific. Digital platforms have become prominent intermediaries or marketplaces that allow the exchange of goods, services, and information. They are opening new transaction channels while lowering service costs and enhancing market efficiency. This volume explores topics that include trade and e-commerce, fintech payments, the digital divide, promoting competition, the digitalization of work and the role of universal basic income, and international taxation.

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.

This report underscores the dynamic partnership of the People's Republic of China (PRC) and ADB in environmental protection and ecological conservation, rural economy, green livable cities, and climate change mitigation and adaptation. The green development partnership between the PRC and ADB has evolved over the years. In the report, best practices, innovations, and lessons learned from this partnership offer insights for ADB, its developing member countries, and other development partners. The report also presents forward-looking directions for further collaboration by the PRC and ADB in pursuit of a more sustainable future.

This publication identifies financial inclusion priorities to stimulate economic recovery and explores the challenges and opportunities of accelerated digital transformation. The coronavirus disease (COVID-19) pandemic has highlighted the vital role of financial inclusion in supporting resilience and economic recovery among the most vulnerable populations in Asia and the Pacific. This publication proposes recommendations to aid policy makers and regulators. It shares insights from the 2021 Asia-Pacific Financial Inclusion Forum, a policy initiative of the Asia-Pacific Economic Cooperation (APEC) Finance Ministers' Process. It was prepared in collaboration with the APEC Business Advisory Council, the Asian Development Bank Institute, and the Foundation for Development Cooperation.