Mastering PostgreSQL 11 gives you the tools to build, administer, and optimize enterprise database applications using PostgreSQL 11. Explore advanced topics like query optimization, replication strategies, and PostgreSQL extensions, helping you leverage the full power of PostgreSQL for handling high-performance database operations effectively. What this Book will help me do Learn advanced PostgreSQL 11 features like query parallelism and indexing Optimize database performance for large-scale systems Master replication and failover for fault-tolerant applications Implement effective backup and restore strategies Troubleshoot complex PostgreSQL challenges efficiently Author(s) Hans-Jürgen Schönig brings years of experience as a PostgreSQL consultant and trainer, helping professionals harness the power of PostgreSQL for robust database solutions. His hands-on approach and comprehensive knowledge make this book a reliable guide for mastering intricate database operations. Who is it for? This book is tailored for database professionals, system architects, and developers experienced with PostgreSQL who aim to deepen their expertise. If you handle PostgreSQL databases and seek to master its complex features for tasks such as optimization, replication, and database management, this is the guide for you.

Get SQL Server up and running on the Linux operating system and containers. No database professional managing or developing SQL Server on Linux will want to be without this deep and authoritative guide by one of the most respected experts on SQL Server in the industry. Get an inside look at how SQL Server for Linux works through the eyes of an engineer on the team that made it possible. Microsoft SQL Server is one of the leading database platforms in the industry, and SQL Server 2017 offers developers and administrators the ability to run a database management system on Linux, offering proven support for enterprise-level features and without onerous licensing terms. Organizations invested in Microsoft and open source technologies are now able to run a unified database platform across all their operating system investments. Organizations are further able to take full advantage of containerization through popular platforms such as Docker and Kubernetes. Pro SQL Server on Linux walks you through installing and configuring SQL Server on the Linux platform. The author is one of the principal architects of SQL Server for Linux, and brings a corresponding depth of knowledge that no database professional or developer on Linux will want to be without. Throughout this book are internals of how SQL Server on Linux works including an in depth look at the innovative architecture. The book covers day-to-day management and troubleshooting, including diagnostics and monitoring, the use of containers to manage deployments, and the use of self-tuning and the in-memory capabilities. Also covered are performance capabilities, high availability, and disaster recovery along with security and encryption. The book covers the product-specific knowledge to bring SQL Server and its powerful features to life on the Linux platform, including coverage of containerization through Docker and Kubernetes. What You'll Learn Learn about the history and internal of the unique SQL Server on Linux architecture. Install and configure Microsoft’s flagship database product on the Linux platform Manage your deployments using container technology through Docker and Kubernetes Know the basics of building databases, the T-SQL language, and developing applications against SQL Server on Linux Use tools and features to diagnose, manage, and monitor SQL Server on Linux Scale your application by learning the performance capabilities of SQL Server Deliver high availability and disaster recovery to ensure business continuity Secure your database from attack, and protect sensitive data through encryption Take advantage of powerful features such as Failover Clusters, Availability Groups, In-Memory Support, and SQL Server’sSelf-Tuning Engine Learn how to migrate your database from older releases of SQL Server and other database platforms such as Oracle and PostgreSQL Build and maintain schemas, and perform management tasks from both GUI and command line Who This Book Is For Developers and IT professionals who are new to SQL Server and wish to configure it on the Linux operating system. This book is also useful to those familiar with SQL Server on Windows who want to learn the unique aspects of managing SQL Server on the Linux platform and Docker containers. Readers should have a grasp of relational database concepts and be comfortable with the SQL language.

Master database creation and management Access 2019 Bible is your, comprehensive reference to the world's most popular database management tool. With clear guidance toward everything from the basics to the advanced, this go-to reference helps you take advantage of everything Access 2019 has to offer. Whether you're new to Access or getting started with Access 2019, you'll find everything you need to know to create the database solution perfectly tailored to your needs, with expert guidance every step of the way. The companion website features all examples and databases used in the book, plus trial software and a special offer from Database Creations. Start from the beginning for a complete tutorial, or dip in and grab what you need when you need it. Access enables database novices and programmers to store, organize, view, analyze, and share data, as well as build powerful, integrable, custom database solutions — but databases can be complex, and difficult to navigate. This book helps you harness the power of the database with a solid understanding of their purpose, construction, and application. Understand database objects and design systems objects Build forms, create tables, manipulate datasheets, and add data validation Use Visual Basic automation and XML Data Access Page design Exchange data with other Office applications, including Word, Excel, and more From database fundamentals and terminology to XML and Web services, this book has everything you need to maximize Access 2019 and build the database you need.

Easy steps to practical databases People who really know how to build, populate, and simplify databases are few and far between. Access 2019 For Dummies is here to help you join the ranks of office heroes who possess these precious skills. This book offers clear and simple advice on how to build and operate databases as well as create simple forms, import data from outside sources, query databases for information, and share knowledge in reports. In short, it’s the book that holds all the secrets behind the mysteries of Access! Build effective databases from the ground up Simplify your data entry with forms and tables Write queries that produce answers to your data questions Simplify input with forms There’s no time like the present to get your hands on the insight that database beginners need to become Access gurus.

This concise guide is essential reading for EU organisations wanting an easy to follow overview of the new regulation and the compliance obligations for handling data of EU citizens. The EU General Data Protection Regulation (GDPR) will unify data protection and simplify the use of personal data across the EU, and automatically supersedes member states domestic data protection laws. It will also apply to every organisation in the world that processes personal information of EU residents. The Regulation introduces a number of key changes for all organisations that process EU residents’ personal data. EU GDPR: A Pocket Guide provides an essential introduction to this new data protection law, explaining the Regulation and setting out the compliance obligations for EU organisations. This second edition has been updated with improved guidance around related laws such as the NIS Directive and the future ePrivacy Regulation. EU GDPR – A Pocket Guide sets out: A brief history of data protection and national data protection laws in the EU (such as the German BDSG, French LIL and UK DPA). The terms and definitions used in the GDPR, including explanations. The key requirements of the GDPR, including: Which fines apply to which Articles; The six principles that should be applied to any collection and processing of personal data; The Regulation’s applicability; Data subjects’ rights; Data protection impact assessments (DPIAs); The role of the data protection officer (DPO) and whether you need one; Data breaches, and the notification of supervisory authorities and data subjects; Obligations for international data transfers. How to comply with the Regulation, including: Understanding your data, and where and how it is used (e.g. Cloud suppliers, physical records); The documentation you need to maintain (such as statements of the information you collect and process, records of data subject consent, processes for protecting personal data); The “appropriate technical and organisational measures” you need to take to ensure your compliance with the Regulation. A full index of the Regulation, enabling you to find relevant Articles quickly and easily.

EU GDPR – A Pocket Guide, second edition provides an accessible overview of the changes you need to make in your organisation to comply with the new law. The EU General Data Protection Regulation unifies data protection across the EU. It applies to every organisation in the world that does business with EU residents. The Regulation introduces a number of key changes for organisations – and the change from DPA compliance to GDPR compliance is a complex one. New for the second edition: Updated to take into account the latest guidance from WP29 and ICO. Improved guidance around related laws such as the NIS Directive and the future ePrivacy Regulation. This pocket guide also sets out: A brief history of data protection and national data protection laws in the EU (such as the UK DPA, German BDSG and French LIL). The terms and definitions used in the GDPR, including explanations. The key requirements of the GDPR How to comply with the Regulation A full index of the Regulation, enabling you to find relevant Articles quickly and easily. This guide is the ideal resource for anyone wanting a clear, concise primer on the EU GDPR.

Provide evidence-based answers that can be measured and relied upon by your business. Database administrators will be able to make sound architectural decisions in a fast-changing landscape of virtualized servers and container-based solutions based on the empirical method presented in this book for answering “what if” questions about database performance. Today’s database administrators face numerous questions such as: What if we consolidate databases using multitenant features? What if we virtualize database servers as Docker containers? What if we deploy the latest in NVMe flash disks to speed up IO access? Do features such as compression, partitioning, and in-memory OLTP earn back their price? What if we move our databases to the cloud? As an administrator, do you know the answers or even how to test the assumptions? Database Benchmarking and Stress Testing introduces you to database benchmarking using industry-standard test suites such as the TCP series of benchmarks, which are the same benchmarks that vendors rely upon. You’ll learn to run these industry-standard benchmarks and collect results to use in answering questions about the performance impact of architectural changes, technology changes, and even down to the brand of database software. You’ll learn to measure performance and predict the specific impact of changes to your environment. You’ll know the limitations of the benchmarks and the crucial difference between benchmarking and workload capture/reply. This book teaches you how to create empirical evidence in support of business and technology decisions. It’s about not guessing when you should be measuring. Empirical testing is scientific testing that delivers measurable results. Begin with a hypothesis about the impact of a possible architecture or technology change. Then run the appropriate benchmarks to gather data and predict whether the change you’re exploring will be beneficial, and by what order of magnitude. Stop guessing. Start measuring. Let Database Benchmarking and Stress Testing show the way. What You'll Learn Understand the industry-standard database benchmarks, and when each is best used Prepare for a database benchmarking effort so reliable results can be achieved Perform database benchmarking for consolidation, virtualization, and cloud projects Recognize and avoid common mistakes in benchmarking database performance Measure and interpret results in a rational, concise manner for reliable comparisons Choose and provide advice on benchmarking tools based on their pros and cons Who This Book Is For Database administrators and professionals responsible for advising on architectural decisions such as whether to use cloud-based services, whether to consolidate and containerize, and who must make recommendations on storage or any other technology that impacts database performance

This book offers a concise description of procedures for precision actuator modeling and control. It addresses four main schemes: modeling and control of precise actuators; nonlinear control of precise actuators, including sliding mode control and neural network feedback control; fault detection and fault-tolerant control; and advanced air bearing control. A substantial part of the book addresses application issues in the modeling and control of precise actuators, providing several interesting case studies for more application-oriented readers.

Abstract This IBM® Redbooks® publication introduces the latest member of the IBM Z platform, the IBM z14 Model ZR1 (Machine Type 3907). It includes information about the Z environment and how it helps integrate data and transactions more securely, and provides insight for faster and more accurate business decisions. The z14 ZR1 is a state-of-the-art data and transaction system that delivers advanced capabilities, which are vital to any digital transformation. The z14 ZR1 is designed for enhanced modularity, which is in an industry standard footprint. This system excels at the following tasks: Securing data with pervasive encryption Transforming a transactional platform into a data powerhouse Getting more out of the platform with IT Operational Analytics Providing resilience towards zero downtime Accelerating digital transformation with agile service delivery Revolutionizing business processes Mixing open source and Z technologies This book explains how this system uses new innovations and traditional Z strengths to satisfy growing demand for cloud, analytics, and open source technologies. With the z14 ZR1 as the base, applications can run in a trusted, reliable, and secure environment that improves operations and lessens business risk.

Abstract This IBM® Redbooks® publication introduces the latest IBM z platform, the IBM z14™. It includes information about the Z environment and how it helps integrate data and transactions more securely, and can infuse insight for faster and more accurate business decisions. The z14 is a state-of-the-art data and transaction system that delivers advanced capabilities, which are vital to the digital era and the trust economy. This system includes the following functionality: Securing data with pervasive encryption Transforming a transactional platform into a data powerhouse Getting more out of the platform with IT Operational Analytics Providing resilience with key to zero downtime Accelerating digital transformation with agile service delivery Revolutionizing business processes Blending open source and Z technologies This book explains how this system uses both new innovations and traditional Z strengths to satisfy growing demand for cloud, analytics, and mobile applications. With the z14 as the base, applications can run in a trusted, reliable, and secure environment that both improves operations and lessens business risk.

This IBM® Redpaper™ publication provides a list of features and functions that are supported on IBM Z, including the IBM z14(z14) - Machine types 3906 and 3907, IBM z13TM(z13®), IBM z13s™(z13s), IBM zEnterprise® EC12 (zEC12), and IBM zEnterprise BC12 (zBC12).

In the 'Redash v5 Quick Start Guide', you'll learn everything you need to master the Redash data visualization platform and confidently create compelling dashboards. This book covers how to connect to different data sources, use SQL to query data, and design and share insightful visualizations. What this Book will help me do Understand how to install, configure, and troubleshoot Redash for your data projects. Gain skills in managing user roles and permissions to ensure secure data collaboration. Learn to connect Redash to various data sources and fetch, process, and handle data. Master the creation of advanced visualizations to effectively present complex data. Develop proficiency in utilizing the Redash API for integrating programmatic interactions. Author(s) None Leibzon is a recognized expert in data visualization and Business Intelligence tools, with years of experience working with data-driven systems. Drawing from his deep practical knowledge of Redash and its applications, None has crafted this guide to be accessible and highly practical. His goal is to enable learners and professionals to unlock the power of data storytelling through intuitive and actionable visualization. Who is it for? If you're a Data Analyst, BI professional, or Data Developer with basic SQL skills, this book is tailored for you. It assumes no prior knowledge of Redash but benefits those who understand fundamental Business Intelligence concepts. Whether you're looking to create your first visualization or streamline data collaboration, this guide will help you achieve your goals.

"MongoDB 4 Quick Start Guide" is your gateway into understanding and utilizing MongoDB, the world's leading NoSQL database alternative. Through this approachable guide, you will quickly learn how to install, secure, and effectively perform database operations using MongoDB Version 4. What this Book will help me do Master the installation and configuration of MongoDB to prepare for secure database setups. Execute CRUD operations seamlessly to manage your data through the MongoDB shell. Construct queries using the aggregation pipeline for robust data analysis. Implement replication and sharding to ensure data safety and scaleability. Use the PHP MongoDB driver to integrate MongoDB effectively with web applications. Author(s) None Bierer is an expert in database technologies with extensive experience in NoSQL solutions, particularly MongoDB. Their passion for teaching developers new and efficient ways to work with databases shines through in this practical and hands-on guide. Who is it for? This book is perfect for web developers looking to enhance their understanding of modern databases, IT professionals interested in NoSQL solutions, and DBAs transitioning from relational databases to document-oriented databases. Prior experience with databases can be helpful, but this guide is accessible even for enthusiastic beginners seeking to learn MongoDB.

A hands-on guide to writing a Message Passing Interface, this book takes the reader on a tour across major MPI implementations, best optimization techniques, application relevant usage hints, and a historical retrospective of the MPI world, all based on a quarter of a century spent inside MPI. Readers will learn to write MPI implementations from scratch, and to design and optimize communication mechanisms using pragmatic subsetting as the guiding principle. Inside the Message Passing Interface also covers MPI quirks and tricks to achieve best performance. Dr. Alexander Supalov created the Intel Cluster Tools product line, including the Intel MP Library that he designed and led between 2003 and 2015. He invented the common MPICH ABI and also guided Intel efforts in the MPI Forum during the development of the MPI-2.1, MPI-2.2, and MPI-3 standards. Before that, Alexander designed new finite-element mesh-generation methods, contributing to the PARMACS and PARASOL interfaces, and developed the first full MPI-2 and IMPI implementations in the world. He graduated from the Moscow Institute of Physics and Technology in 1990, and earned his PhD in applied mathematics at the Institute of Numerical Mathematics of the Russian Academy of Sciences in 1995. Alexander holds 26 patents (more pending worldwide).

Kafka Streams in Action teaches you everything you need to know to implement stream processing on data flowing into your Kafka platform, allowing you to focus on getting more from your data without sacrificing time or effort. About the Technology Not all stream-based applications require a dedicated processing cluster. The lightweight Kafka Streams library provides exactly the power and simplicity you need for message handling in microservices and real-time event processing. With the Kafka Streams API, you filter and transform data streams with just Kafka and your application. About the Book Kafka Streams in Action teaches you to implement stream processing within the Kafka platform. In this easy-to-follow book, you’ll explore real-world examples to collect, transform, and aggregate data, work with multiple processors, and handle real-time events. You’ll even dive into streaming SQL with KSQL! Practical to the very end, it finishes with testing and operational aspects, such as monitoring and debugging. What's Inside Using the KStreams API Filtering, transforming, and splitting data Working with the Processor API Integrating with external systems About the Reader Assumes some experience with distributed systems. No knowledge of Kafka or streaming applications required. About the Author Bill Bejeck is a Kafka Streams contributor and Confluent engineer with over 15 years of software development experience. Quotes A great way to learn about Kafka Streams and how it is a key enabler of event-driven applications. - From the Foreword by Neha Narkhede, Cocreator of Apache Kafka A comprehensive guide to Kafka Streams—from introduction to production! - Bojan Djurkovic, Cvent Bridges the gap between message brokering and real-time streaming analytics. - Jim Mantheiy Jr., Next Century Valuable both as an introduction to streams as well as an ongoing reference. - Robin Coe, TD Bank

Storage systems must provide reliable and convenient data access to all authorized users while simultaneously preventing threats coming from outside or even inside the enterprise. Security threats come in many forms, from unauthorized access to data, data tampering, denial of service, and obtaining privileged access to systems. According to the Storage Network Industry Association (SNIA), data security in the context of storage systems is responsible for safeguarding the data against theft, prevention of unauthorized disclosure of data, prevention of data tampering, and accidental corruption. This process ensures accountability, authenticity, business continuity, and regulatory compliance. Security for storage systems can be classified as follows: Data storage (data at rest, which includes data durability and immutability) Access to data Movement of data (data in flight) Management of data IBM® Spectrum Scale is a software-defined storage system for high performance, large-scale workloads on-premises or in the cloud. IBM Spectrum™ Scale addresses all four aspects of security by securing data at rest (protecting data at rest with snapshots, and backups and immutability features) and securing data in flight (providing secure management of data, and secure access to data by using authentication and authorization across multiple supported access protocols). These protocols include POSIX, NFS, SMB, Hadoop, and Object (REST). For automated data management, it is equipped with powerful information lifecycle management (ILM) tools that can help administer unstructured data by providing the correct security for the correct data. This IBM Redpaper™ publication details the various aspects of security in IBM Spectrum Scale™, including the following items: Security of data in transit Security of data at rest Authentication Authorization Hadoop security Immutability Secure administration Audit logging Security for transparent cloud tiering (TCT) Security for OpenStack drivers Unless stated otherwise, the functions that are mentioned in this paper are available in IBM Spectrum Scale V4.2.1 or later releases.

The EU General Data Protection Regulation (GDPR) unifies data protection and unifies data protection across the EU. It applies to every organisation in the world that handles EU residents’ personal data – which includes schools. The Regulation introduces a number of key changes for schools – and the change from compliance with the Data Protection Act 1998 (DPA) to GDPR compliance is a complex one. We have revised our popular EU GDPR – A Pocket Guide to include specific expectations of and requirements for schools, and provide an accessible overview of the changes you need to make to comply with the Regulation. GDPR – A Pocket Guide Schools’ Edition sets out: A brief history of data protection and national data protection laws in the EU, including as the UK’s DPA); Explanations of the terms and definitions used in the GDPR; The key requirements of the GDPR; The need to appoint a data protection officer (DPO); The lawful basis of processing data and when consent is needed; How to comply with the Regulation; and A full index of the Regulation, enabling you to find relevant articles quickly and easily. This pocket guide is the ideal resource for anyone wanting a clear, concise primer on the GDPR.

This IBM Redbooks® Product Guide describes IBM FlashSystem® V9000, which is a comprehensive all-flash enterprise storage solution that delivers the full capabilities of IBM FlashCore® technology. In addition, it provides a rich set of software-defined storage features, including IBM Real-time Compression™, data reductions, dynamic tiering, thin provisioning, snapshots, cloning, replication, data copy services, and IBM HyperSwap® for high availability. Scale out scale up configurations can now add a hot spare node to further enhance availability. With the release of FlashSystem V9000 Software V8.1, extra functions and features are available, including support for new and more powerful FlashSystem V9000 storage enclosure Model AE3. Software features added include GUI enhancements, a new dashboard, support assistance, and data deduplication. AE3 capacities include Small (3.6 TB), Medium (8.5 TB), and Large (18 TB) IBM MicroLatency® modules for between 14.4 TB and 180 TB usable capacity (TBu), with inline hardware compression increasing the capacity up to 219 TB effective capacity (TBe). New SAS-based small form factor (SFF) and large form factor (LFF) expansion enclosures that provide a mixture of nearline hard disk drives (HDDs) and flash MDisks in a pool that can be used for IBM Easy Tier®. The new IBM FlashSystem V9000 SFF expansion enclosure Model92F offers new tiering options with low-cost solid-state drive (SSD flash drives) and nearline HDDs. Up to 784 drives per node pair of serial-attached SCSI (SAS) expansions are supported per FlashSystem V9000 controller pair, providing up to 480 drives with expansion Model 24F and up to 240 drives with expansion Model 12F. FlashSystem V9000 Software version 8.1 replaces version 7.8, and is available to all IBM FlashSystem V9000 customers with current warranty or software maintenance agreements.

Set up, manage, and configure the new InnoDB Cluster feature in MySQL from Oracle. If you are growing your MySQL installation and want to explore making your servers highly available, this book provides what you need to know about high availability and the new tools that are available in MySQL 8.0.11 and later. Introducing InnoDB Cluster teaches you about the building blocks that make up InnoDB Cluster such as MySQL Group Replication for storing data redundantly, MySQL Router for the routing of inbound connections, and MySQL Shell for simplified setup and configuration, status reporting, and even automatic failover. You will understand how it all works together to ensure that your data are available even when your primary database server goes down. Features described in this book are available in the Community Edition of MySQL, beginning with the version 8.0.11 GA release, making this book relevant for any MySQL users in need of redundancy against failure. Tutorials in the book show how to configure a test environment and plan a production deployment. Examples are provided in the form of a walk-through of a typical MySQL high-availability setup. What You'll Learn Discover the newest high-availability features in MySQL Set up and use InnoDB Cluster as an HA solution Migrate your existing servers to MySQL 8 Employ best practices for using InnoDB Cluster Configure servers for optimal automatic failover to ensure that applications continue when a server fails Configure MySQL Router to load-balance inbound connections to the cluster Who This Book Is For Systems engineers, developers, and database professionals wanting to learn about the powerful high availability (HA) features, beginning with MySQL 8.0.11: MySQL Shell, MySQL Router, and MySQL Group Replication. The book is useful for those designing high-availability systems backed by a database, and for those interested in open source HA solutions.

Aimed at readers with a knowledge of geographic information systems (GIS) but no formal training in computer science, this book provides a clear and accessible introduction to how GIS store and process spatial data. This updated edition includes two new chapters on databases and heuristics, substantial additional material on indexing and raster imagery, and revisions throughout that incorporate up-to-date applications such as GPS on mobile devices and Internet-based services.

Meeting the demands of the rapid growth of wireless Internet subscribers and the development of the world location-based services (LBS) market, this volume introduces and comprehensively discusses various location based applications such as buddy finder and proximity and security services. The material is organized in three major sections: applications, technologies, and security. Written by experts from across the globe, the articles in each of the sections range from basic concepts to research grade material and include discussions of future directions. An extensive bibliography is included with each chapter.

This book is a compilation of the latest microarray image and data analysis methods from the multidisciplinary international research community. Delivering a detailed discussion of the biological aspects and applications of different types of microarrays, it examines the current state of microarray technology and describes the key stages of image processing, gridding, segmentation, compression, quantification, and normalization. Featuring cutting-edge approaches to clustering and the reconstruction of regulatory networks, the book explains how data generated by microarray experiments are analyzed to obtain meaningful biological conclusions.

Identify and fix causes of poor performance. You will learn Query Store, adaptive execution plans, and automated tuning on the Microsoft Azure SQL Database platform. Anyone responsible for writing or creating T-SQL queries will find valuable the insight into bottlenecks, including how to recognize them and eliminate them. This book covers the latest in performance optimization features and techniques and is current with SQL Server 2017. If your queries are not running fast enough and you’re tired of phone calls from frustrated users, then this book is the answer to your performance problems. SQL Server 2017 Query Performance Tuning is about more than quick tips and fixes. You’ll learn to be proactive in establishing performance baselines using tools such as Performance Monitor and Extended Events. You’ll recognize bottlenecks and defuse them before the phone rings. You’ll learn some quick solutions too, but emphasis is on designing for performance and getting it right. The goal is to head off trouble before it occurs. What You'll Learn Use Query Store to understand and easily change query performance Recognize and eliminate bottlenecks leading to slow performance Deploy quick fixes when needed, following up with long-term solutions Implement best practices in T-SQL to minimize performance risk Design in the performance that you need through careful query and index design Utilize the latest performance optimization features in SQL Server 2017 Protect query performance during upgrades to the newer versions of SQL Server Who This Book Is For Developers and database administrators with responsibility for application performance in SQL Server environments. Anyone responsible for writing or creating T-SQL queries will find valuable the insight into bottlenecks, including how to recognize them and eliminate them.

"Data Science with SQL Server Quick Start Guide" introduces you to leveraging SQL Server's most recent features for data science projects. You will explore the integration of data science techniques using R, Python, and Transact-SQL within SQL Server's environment. What this Book will help me do Use SQL Server's capabilities for data science projects effectively. Understand and preprocess data using SQL queries and statistics. Design, train, and evaluate machine learning models in SQL Server. Visualize data insights through advanced graphing techniques. Deploy and utilize machine learning models within SQL Server environments. Author(s) Dejan Sarka is a data science and SQL Server expert with years of industry experience. He specializes in melding database systems with advanced analytics, offering practical guidance through real-world scenarios. His writing provides clear, step-by-step methods, making complex topics accessible. Who is it for? This book is tailored for professionals familiar with SQL Server who are looking to delve into data science. It is also ideal for data scientists aiming to incorporate SQL Server into their analytics workflows. The content assumes basic exposure to SQL Server, ensuring a straightforward learning curve for its audience.

Many organizations have begun to rethink the strategy of allowing regional teams to maintain independent databases that are periodically consolidated with the head office. As businesses extend their reach globally, these hierarchical approaches no longer work. Instead, an enterprise’s entire data infrastructure—including multiple types of data persistence—needs to be shared and updated everywhere at the same time with fine-grained control over who has access. This practical report examines the requirements and challenges of constructing a geo-distributed data platform, including examples of specific technologies designed to meet them. Authors Ted Dunning and Ellen Friedman also provide real-world use cases that show how low-latency geo-distribution of very large-scale data and computation provide a competitive edge. With this report, you’ll explore: How replication and mirroring methods for data movement provide the large scale, low latency, and low cost that systems demand The importance of multimaster replication of data streams and databases Advantages (and disadvantages) of cloud neutrality, cloud bursting, and hybrid cloud architecture for transferring data Why effective data governance is a complex process that requires the right tools for controlling and monitoring geo-distributed data How to make containers work for geo-distributed data at scale, even where stateful applications are involved Use cases that demonstrate how telecoms and online advertisers distribute large quantities of data