Sql Server 2017 Machine Learning Services With R

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SQL Server 2017 Machine Learning Services with R

Tomaz Kastrun,Julie Koesmarno
SQL Server 2017 Machine Learning Services with R Book PDF

Author : Tomaz Kastrun,Julie Koesmarno
Publisher : Packt Publishing Ltd
Page : 331 pages
File Size : 43,8 Mb
Release : 2018-02-27
Category : Computers
ISBN : 9781787280922

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SQL Server 2017 Machine Learning Services with R by Tomaz Kastrun,Julie Koesmarno Pdf

Develop and run efficient R scripts and predictive models for SQL Server 2017 Key Features Learn how you can combine the power of R and SQL Server 2017 to build efficient, cost-effective data science solutions Leverage the capabilities of R Services to perform advanced analytics—from data exploration to predictive modeling A quick primer with practical examples to help you get up- and- running with SQL Server 2017 Machine Learning Services with R, as part of database solutions with continuous integration / continuous delivery. Book Description R Services was one of the most anticipated features in SQL Server 2016, improved significantly and rebranded as SQL Server 2017 Machine Learning Services. Prior to SQL Server 2016, many developers and data scientists were already using R to connect to SQL Server in siloed environments that left a lot to be desired, in order to do additional data analysis, superseding SSAS Data Mining or additional CLR programming functions. With R integrated within SQL Server 2017, these developers and data scientists can now benefit from its integrated, effective, efficient, and more streamlined analytics environment. This book gives you foundational knowledge and insights to help you understand SQL Server 2017 Machine Learning Services with R. First and foremost, the book provides practical examples on how to implement, use, and understand SQL Server and R integration in corporate environments, and also provides explanations and underlying motivations. It covers installing Machine Learning Services;maintaining, deploying, and managing code;and monitoring your services. Delving more deeply into predictive modeling and the RevoScaleR package, this book also provides insights into operationalizing code and exploring and visualizing data. To complete the journey, this book covers the new features in SQL Server 2017 and how they are compatible with R, amplifying their combined power. What you will learn Get an overview of SQL Server 2017 Machine Learning Services with R Manage SQL Server Machine Learning Services from installation to configuration and maintenance Handle and operationalize R code Explore RevoScaleR R algorithms and create predictive models Deploy, manage, and monitor database solutions with R Extend R with SQL Server 2017 features Explore the power of R for database administrators Who this book is for This book is for data analysts, data scientists, and database administrators with some or no experience in R but who are eager to easily deliver practical data science solutions in their day-to-day work (or future projects) using SQL Server.

Data Science with SQL Server Quick Start Guide

Dejan Sarka
Data Science with SQL Server Quick Start Guide Book PDF

Author : Dejan Sarka
Publisher : Packt Publishing Ltd
Page : 196 pages
File Size : 45,8 Mb
Release : 2018-08-31
Category : Computers
ISBN : 9781789537130

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Data Science with SQL Server Quick Start Guide by Dejan Sarka Pdf

Get unique insights from your data by combining the power of SQL Server, R and Python Key Features Use the features of SQL Server 2017 to implement the data science project life cycle Leverage the power of R and Python to design and develop efficient data models find unique insights from your data with powerful techniques for data preprocessing and analysis Book Description SQL Server only started to fully support data science with its two most recent editions. If you are a professional from both worlds, SQL Server and data science, and interested in using SQL Server and Machine Learning (ML) Services for your projects, then this is the ideal book for you. This book is the ideal introduction to data science with Microsoft SQL Server and In-Database ML Services. It covers all stages of a data science project, from businessand data understanding,through data overview, data preparation, modeling and using algorithms, model evaluation, and deployment. You will learn to use the engines and languages that come with SQL Server, including ML Services with R and Python languages and Transact-SQL. You will also learn how to choose which algorithm to use for which task, and learn the working of each algorithm. What you will learn Use the popular programming languages,T-SQL, R, and Python, for data science Understand your data with queries and introductory statistics Create and enhance the datasets for ML Visualize and analyze data using basic and advanced graphs Explore ML using unsupervised and supervised models Deploy models in SQL Server and perform predictions Who this book is for SQL Server professionals who want to start with data science, and data scientists who would like to start using SQL Server in their projects will find this book to be useful. Prior exposure to SQL Server will be helpful.

SQL Server 2017 Developer’s Guide

William Durkin,Miloš Radivojević,Dejan Sarka
SQL Server 2017 Developer s Guide Book PDF

Author : William Durkin,Miloš Radivojević,Dejan Sarka
Publisher : Packt Publishing Ltd
Page : 809 pages
File Size : 46,7 Mb
Release : 2018-03-16
Category : Computers
ISBN : 9781788479936

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SQL Server 2017 Developer’s Guide by William Durkin,Miloš Radivojević,Dejan Sarka Pdf

Build smarter and efficient database application systems for your organization with SQL Server 2017 Key Features Build database applications by using the development features of SQL Server 2017 Work with temporal tables to get information stored in a table at any time Use adaptive querying to enhance the performance of your queries Book Description Microsoft SQL Server 2017 is the next big step in the data platform history of Microsoft as it brings in the power of R and Python for machine learning and containerization-based deployment on Windows and Linux. Compared to its predecessor, SQL Server 2017 has evolved into Machine Learning with R services for statistical analysis and Python packages for analytical processing. This book prepares you for more advanced topics by starting with a quick introduction to SQL Server 2017’s new features and a recapitulation of the possibilities you may have already explored with previous versions of SQL Server. The next part introduces you to enhancements in the Transact-SQL language and new database engine capabilities and then switches to a completely new technology inside SQL Server: JSON support. We also take a look at the Stretch database, security enhancements, and temporal tables. Furthermore, the book focuses on implementing advanced topics, including Query Store, columnstore indexes, and In-Memory OLTP. Towards the end of the book, you’ll be introduced to R and how to use the R language with Transact-SQL for data exploration and analysis. You’ll also learn to integrate Python code in SQL Server and graph database implementations along with deployment options on Linux and SQL Server in containers for development and testing. By the end of this book, you will have the required information to design efficient, high-performance database applications without any hassle. What you will learn Explore the new development features introduced in SQL Server 2017 Identify opportunities for In-Memory OLTP technology Use columnstore indexes to get storage and performance improvements Exchange JSON data between applications and SQL Server Use the new security features to encrypt or mask the data Control the access to the data on the row levels Discover the potential of R and Python integration Model complex relationships with the graph databases in SQL Server 2017 Who this book is for Database developers and solution architects looking to design efficient database applications using SQL Server 2017 will find this book very useful. In addition, this book will be valuable to advanced analysis practitioners and business intelligence developers. Database consultants dealing with performance tuning will get a lot of useful information from this book as well. Some basic understanding of database concepts and T-SQL is required to get the best out of this book.

Exam Ref 70-774 Perform Cloud Data Science with Azure Machine Learning

Ginger Grant,Julio Granados,Guillermo Fernandez,Pau Sempere,Javier Torrenteras,Paco Gonzalez,Tamanaco Francísquez
Exam Ref 70 774 Perform Cloud Data Science with Azure Machine Learning Book PDF

Author : Ginger Grant,Julio Granados,Guillermo Fernandez,Pau Sempere,Javier Torrenteras,Paco Gonzalez,Tamanaco Francísquez
Publisher : Microsoft Press
Page : 566 pages
File Size : 48,8 Mb
Release : 2018-03-01
Category : Computers
ISBN : 9780134849683

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Exam Ref 70-774 Perform Cloud Data Science with Azure Machine Learning by Ginger Grant,Julio Granados,Guillermo Fernandez,Pau Sempere,Javier Torrenteras,Paco Gonzalez,Tamanaco Francísquez Pdf

Prepare for Microsoft Exam 70-774–and help demonstrate your real-world mastery of performing key data science activities with Azure Machine Learning services. Designed for experienced IT professionals ready to advance their status, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the MCSA level. Focus on the expertise measured by these objectives: Prepare data for analysis in Azure Machine Learning and export from Azure Machine Learning Develop machine learning models Operationalize and manage Azure Machine Learning Services Use other services for machine learning This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you are familiar with Azure data services, machine learning concepts, and common data science processes About the Exam Exam 70-774 focuses on skills and knowledge needed to prepare data for analysis with Azure Machine Learning; find key variables describing your data’s behavior; develop models and identify optimal algorithms; train, validate, deploy, manage, and consume Azure Machine Learning Models; and leverage related services and APIs. About Microsoft Certification Passing this exam as well as Exam 70-773: Analyzing Big Data with Microsoft R earns your MCSA: Machine Learning certifi¿cation, demonstrating your expertise in operationalizing Microsoft Azure machine learning and Big Data with R Server and SQL R Services. See full details at: microsoft.com/learning

Mastering SQL Server 2017

Miloš Radivojević,Dejan Sarka,William Durkin,Christian Coté,Matija Lah
Mastering SQL Server 2017 Book PDF

Author : Miloš Radivojević,Dejan Sarka,William Durkin,Christian Coté,Matija Lah
Publisher : Packt Publishing Ltd
Page : 684 pages
File Size : 50,7 Mb
Release : 2019-08-22
Category : Computers
ISBN : 9781838987527

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Mastering SQL Server 2017 by Miloš Radivojević,Dejan Sarka,William Durkin,Christian Coté,Matija Lah Pdf

Leverage the power of SQL Server 2017 Integration Services to build data integration solutions with ease Key FeaturesWork with temporal tables to access information stored in a table at any timeGet familiar with the latest features in SQL Server 2017 Integration ServicesProgram and extend your packages to enhance their functionalityBook Description Microsoft SQL Server 2017 uses the power of R and Python for machine learning and containerization-based deployment on Windows and Linux. By learning how to use the features of SQL Server 2017 effectively, you can build scalable apps and easily perform data integration and transformation. You’ll start by brushing up on the features of SQL Server 2017. This Learning Path will then demonstrate how you can use Query Store, columnstore indexes, and In-Memory OLTP in your apps. You'll also learn to integrate Python code in SQL Server and graph database implementations for development and testing. Next, you'll get up to speed with designing and building SQL Server Integration Services (SSIS) data warehouse packages using SQL server data tools. Toward the concluding chapters, you’ll discover how to develop SSIS packages designed to maintain a data warehouse using the data flow and other control flow tasks. By the end of this Learning Path, you'll be equipped with the skills you need to design efficient, high-performance database applications with confidence. This Learning Path includes content from the following Packt books: SQL Server 2017 Developer's Guide by Miloš Radivojević, Dejan Sarka, et. al SQL Server 2017 Integration Services Cookbook by Christian Cote, Dejan Sarka, et. alWhat you will learnUse columnstore indexes to make storage and performance improvementsExtend database design solutions using temporal tablesExchange JSON data between applications and SQL ServerMigrate historical data to Microsoft Azure by using Stretch DatabaseDesign the architecture of a modern Extract, Transform, and Load (ETL) solutionImplement ETL solutions using Integration Services for both on-premise and Azure dataWho this book is for This Learning Path is for database developers and solution architects looking to develop ETL solutions with SSIS, and explore the new features in SSIS 2017. Advanced analysis practitioners, business intelligence developers, and database consultants dealing with performance tuning will also find this book useful. Basic understanding of database concepts and T-SQL is required to get the best out of this Learning Path.

Machine Learning with Microsoft Technologies

Leila Etaati
Machine Learning with Microsoft Technologies Book PDF

Author : Leila Etaati
Publisher : Apress
Page : 363 pages
File Size : 49,7 Mb
Release : 2019-06-12
Category : Computers
ISBN : 9781484236581

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Machine Learning with Microsoft Technologies by Leila Etaati Pdf

Know how to do machine learning with Microsoft technologies. This book teaches you to do predictive, descriptive, and prescriptive analyses with Microsoft Power BI, Azure Data Lake, SQL Server, Stream Analytics, Azure Databricks, HD Insight, and more. The ability to analyze massive amounts of real-time data and predict future behavior of an organization is critical to its long-term success. Data science, and more specifically machine learning (ML), is today’s game changer and should be a key building block in every company’s strategy. Managing a machine learning process from business understanding, data acquisition and cleaning, modeling, and deployment in each tool is a valuable skill set. Machine Learning with Microsoft Technologies is a demo-driven book that explains how to do machine learning with Microsoft technologies. You will gain valuable insight into designing the best architecture for development, sharing, and deploying a machine learning solution. This book simplifies the process of choosing the right architecture and tools for doing machine learning based on your specific infrastructure needs and requirements. Detailed content is provided on the main algorithms for supervised and unsupervised machine learning and examples show ML practices using both R and Python languages, the main languages inside Microsoft technologies. What You'll Learn Choose the right Microsoft product for your machine learning solutionCreate and manage Microsoft’s tool environments for development, testing, and production of a machine learning projectImplement and deploy supervised and unsupervised learning in Microsoft products Set up Microsoft Power BI, Azure Data Lake, SQL Server, Stream Analytics, Azure Databricks, and HD Insight to perform machine learning Set up a data science virtual machine and test-drive installed tools, such as Azure ML Workbench, Azure ML Server Developer, Anaconda Python, Jupyter Notebook, Power BI Desktop, Cognitive Services, machine learning and data analytics tools, and more Architect a machine learning solution factoring in all aspects of self service, enterprise, deployment, and sharing Who This Book Is For Data scientists, data analysts, developers, architects, and managers who want to leverage machine learning in their products, organization, and services, and make educated, cost-saving decisions about their ML architecture and tool set.

SQL Server 2017 Administrator's Guide

Marek Chmel,Vladimir Muzny
SQL Server 2017 Administrator s Guide Book PDF

Author : Marek Chmel,Vladimir Muzny
Publisher : Packt Publishing Ltd
Page : 425 pages
File Size : 48,5 Mb
Release : 2017-12-12
Category : Computers
ISBN : 9781786467324

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SQL Server 2017 Administrator's Guide by Marek Chmel,Vladimir Muzny Pdf

Implement and administer successful database solution with SQL Server 2017 About This Book Master the required skills to successfully set up, administer, and maintain your SQL Server 2017 database solution Design and configure, manage, and secure a rock-solid SQL server Comprehensive guide in keeping your SQL server disaster proof and all-time availability Who This Book Is For This book targets database administrators with an interest in SQL Server 2017 administration. Readers are expected to have some experience with previous SQL Server versions. What You Will Learn Learn about the new features of SQL Server 2017 and how to implement them Build a stable and fast SQL Server environment Fix performance issues by optimizing queries and making use of indexes Perform a health check of an existing troublesome database environment Design and use an optimal database management strategy Implement efficient backup and recovery techniques in-line with security policies Combine SQL Server 2017 and Azure and manage your solution by various automation techniques Perform data migration, cluster upgradation and server consolidation In Detail Take advantage of the real power of SQL Server 2017 with all its new features, in addition to covering core database administration tasks. This book will give you a competitive advantage by helping you quickly learn how to design, manage, and secure your database solution. You will learn how to set up your SQL Server and configure new (and existing) environments for optimal use. After covering the designing aspect, the book delves into performance-tuning aspects by teaching you how to effectively use indexes. The book will also teach you about certain choices that need to be made about backups and how to implement a rock-solid security policy and keep your environment healthy. Finally, you will learn about the techniques you should use when things go wrong, and other important topics - such as migration, upgrading, and consolidation - are covered in detail. Integration with Azure is also covered in depth. Whether you are an administrator or thinking about entering the field, this book will provide you with all the skills you need to successfully create, design, and deploy databases using SQL Server 2017. Style and approach A comprehensive guide for database professionals, covering a wide range of topics from installation, maintenance, and configuration to managing systems for operational efficiency and high availability; best practices for maintaining a highly reliable database solution are also supplied from industry experts.

SQL Server 2017 Administration Inside Out

William Assaf,Randolph West,Sven Aelterman,Mindy Curnutt
SQL Server 2017 Administration Inside Out Book PDF

Author : William Assaf,Randolph West,Sven Aelterman,Mindy Curnutt
Publisher : Microsoft Press
Page : 1125 pages
File Size : 50,5 Mb
Release : 2018-02-26
Category : Computers
ISBN : 9780135185391

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SQL Server 2017 Administration Inside Out by William Assaf,Randolph West,Sven Aelterman,Mindy Curnutt Pdf

Conquer SQL Server 2017 administration—from the inside out Dive into SQL Server 2017 administration—and really put your SQL Server DBA expertise to work. This supremely organized reference packs hundreds of timesaving solutions, tips, and workarounds—all you need to plan, implement, manage, and secure SQL Server 2017 in any production environment: on-premises, cloud, or hybrid. Four SQL Server experts offer a complete tour of DBA capabilities available in SQL Server 2017 Database Engine, SQL Server Data Tools, SQL Server Management Studio, and via PowerShell. Discover how experts tackle today’s essential tasks—and challenge yourself to new levels of mastery. • Install, customize, and use SQL Server 2017’s key administration and development tools • Manage memory, storage, clustering, virtualization, and other components • Architect and implement database infrastructure, including IaaS, Azure SQL, and hybrid cloud configurations • Provision SQL Server and Azure SQL databases • Secure SQL Server via encryption, row-level security, and data masking • Safeguard Azure SQL databases using platform threat protection, firewalling, and auditing • Establish SQL Server IaaS network security groups and user-defined routes • Administer SQL Server user security and permissions • Efficiently design tables using keys, data types, columns, partitioning, and views • Utilize BLOBs and external, temporal, and memory-optimized tables • Master powerful optimization techniques involving concurrency, indexing, parallelism, and execution plans • Plan, deploy, and perform disaster recovery in traditional, cloud, and hybrid environments For Experienced SQL Server Administrators and Other Database Professionals • Your role: Intermediate-to-advanced level SQL Server database administrator, architect, developer, or performance tuning expert • Prerequisites: Basic understanding of database administration procedures

Hands-On Data Science with SQL Server 2017

Marek Chmel,Vladimír Mužný
Hands On Data Science with SQL Server 2017 Book PDF

Author : Marek Chmel,Vladimír Mužný
Publisher : Packt Publishing Ltd
Page : 494 pages
File Size : 40,8 Mb
Release : 2018-11-29
Category : Computers
ISBN : 9781788996433

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Hands-On Data Science with SQL Server 2017 by Marek Chmel,Vladimír Mužný Pdf

Find, explore, and extract big data to transform into actionable insights Key FeaturesPerform end-to-end data analysis—from exploration to visualizationReal-world examples, tasks, and interview queries to be a proficient data scientistUnderstand how SQL is used for big data processing using HiveQL and SparkSQLBook Description SQL Server is a relational database management system that enables you to cover end-to-end data science processes using various inbuilt services and features. Hands-On Data Science with SQL Server 2017 starts with an overview of data science with SQL to understand the core tasks in data science. You will learn intermediate-to-advanced level concepts to perform analytical tasks on data using SQL Server. The book has a unique approach, covering best practices, tasks, and challenges to test your abilities at the end of each chapter. You will explore the ins and outs of performing various key tasks such as data collection, cleaning, manipulation, aggregations, and filtering techniques. As you make your way through the chapters, you will turn raw data into actionable insights by wrangling and extracting data from databases using T-SQL. You will get to grips with preparing and presenting data in a meaningful way, using Power BI to reveal hidden patterns. In the concluding chapters, you will work with SQL Server integration services to transform data into a useful format and delve into advanced examples covering machine learning concepts such as predictive analytics using real-world examples. By the end of this book, you will be in a position to handle the growing amounts of data and perform everyday activities that a data science professional performs. What you will learnUnderstand what data science is and how SQL Server is used for big data processingAnalyze incoming data with SQL queries and visualizationsCreate, train, and evaluate predictive modelsMake predictions using trained models and establish regular retraining coursesIncorporate data source querying into SQL ServerEnhance built-in T-SQL capabilities using SQLCLRVisualize data with Reporting Services, Power View, and Power BITransform data with R, Python, and AzureWho this book is for Hands-On Data Science with SQL Server 2017 is intended for data scientists, data analysts, and big data professionals who want to master their skills learning SQL and its applications. This book will be helpful even for beginners who want to build their career as data science professionals using the power of SQL Server 2017. Basic familiarity with SQL language will aid with understanding the concepts covered in this book.

SQL Server 2022 Administration Inside Out

Randolph West,William Assaf,Elizabeth Noble,Meagan Longoria,Joseph D'Antoni,Louis Davidson
SQL Server 2022 Administration Inside Out Book PDF

Author : Randolph West,William Assaf,Elizabeth Noble,Meagan Longoria,Joseph D'Antoni,Louis Davidson
Publisher : Microsoft Press
Page : 1940 pages
File Size : 48,5 Mb
Release : 2023-04-27
Category : Computers
ISBN : 9780137899975

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SQL Server 2022 Administration Inside Out by Randolph West,William Assaf,Elizabeth Noble,Meagan Longoria,Joseph D'Antoni,Louis Davidson Pdf

Conquer SQL Server 2022 and Azure SQL administration from the inside out! Dive into SQL Server 2022 administration and grow your Microsoft SQL Server data platform skillset. This well-organized reference packs in timesaving solutions, tips, and workarounds, all you need to plan, implement, deploy, provision, manage, and secure SQL Server 2022 in any environment: on-premises, cloud, or hybrid, including detailed, dedicated chapters on Azure SQL Database and Azure SQL Managed Instance. Nine experts thoroughly tour DBA capabilities available in the SQL Server 2022 Database Engine, SQL Server Data Tools, SQL Server Management Studio, PowerShell, and much more. You'll find extensive new coverage of Azure SQL Database and Azure SQL Managed Instance, both as a cloud platform of SQL Server and in their new integrations with SQL Server 2022, information available in no other book. Discover how experts tackle today's essential tasks and challenge yourself to new levels of mastery. Identify low-hanging fruit and practical, easy wins for improving SQL Server administration Get started with modern SQL Server tools, including SQL Server Management Studio, and Azure Data Studio Upgrade your SQL Server administration skillset to new features of SQL Server 2022, Azure SQL Database, Azure SQL Managed Instance, and SQL Server on Linux Design and implement modern on-premises database infrastructure, including Kubernetes Leverage data virtualization of third-party or non-relational data sources Monitor SQL instances for corruption, index activity, fragmentation, and extended events Automate maintenance plans, database mail, jobs, alerts, proxies, and event forwarding Protect data through encryption, privacy, and auditing Provision, manage, scale and secure, and bidirectionally synchronize Microsoft's powerful Azure SQL Managed Instance Understand and enable new Intelligent Query Processing features to increase query concurrency Prepare a best-practice runbook for disaster recovery Use SQL Server 2022 features to span infrastructure across hybrid environments

SQL Server 2019 Revealed

Bob Ward
SQL Server 2019 Revealed Book PDF

Author : Bob Ward
Publisher : Apress
Page : 435 pages
File Size : 46,5 Mb
Release : 2019-10-18
Category : Computers
ISBN : 9781484254196

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SQL Server 2019 Revealed by Bob Ward Pdf

Get up to speed on the game-changing developments in SQL Server 2019. No longer just a database engine, SQL Server 2019 is cutting edge with support for machine learning (ML), big data analytics, Linux, containers, Kubernetes, Java, and data virtualization to Azure. This is not a book on traditional database administration for SQL Server. It focuses on all that is new for one of the most successful modernized data platforms in the industry. It is a book for data professionals who already know the fundamentals of SQL Server and want to up their game by building their skills in some of the hottest new areas in technology. SQL Server 2019 Revealed begins with a look at the project's team goal to integrate the world of big data with SQL Server into a major product release. The book then dives into the details of key new capabilities in SQL Server 2019 using a “learn by example” approach for Intelligent Performance, security, mission-critical availability, and features for the modern developer. Also covered are enhancements to SQL Server 2019 for Linux and gain a comprehensive look at SQL Server using containers and Kubernetes clusters. The book concludes by showing you how to virtualize your data access with Polybase to Oracle, MongoDB, Hadoop, and Azure, allowing you to reduce the need for expensive extract, transform, and load (ETL) applications. You will then learn how to take your knowledge of containers, Kubernetes, and Polybase to build a comprehensive solution called Big Data Clusters, which is a marquee feature of 2019. You will also learn how to gain access to Spark, SQL Server, and HDFS to build intelligence over your own data lake and deploy end-to-end machine learning applications. What You Will LearnImplement Big Data Clusters with SQL Server, Spark, and HDFS Create a Data Hub with connections to Oracle, Azure, Hadoop, and other sourcesCombine SQL and Spark to build a machine learning platform for AI applicationsBoost your performance with no application changes using Intelligent PerformanceIncrease security of your SQL Server through Secure Enclaves and Data ClassificationMaximize database uptime through online indexing and Accelerated Database RecoveryBuild new modern applications with Graph, ML Services, and T-SQL Extensibility with JavaImprove your ability to deploy SQL Server on Linux Gain in-depth knowledge to run SQL Server with containers and KubernetesKnow all the new database engine features for performance, usability, and diagnosticsUse the latest tools and methods to migrate your database to SQL Server 2019Apply your knowledge of SQL Server 2019 to Azure Who This Book Is For IT professionals and developers who understand the fundamentals of SQL Server and wish to focus on learning about the new, modern capabilities of SQL Server 2019. The book is for those who want to learn about SQL Server 2019 and the new Big Data Clusters and AI feature set, support for machine learning and Java, how to run SQL Server with containers and Kubernetes, and increased capabilities around Intelligent Performance, advanced security, and high availability.

SQL Server 2019 Administrator's Guide

Marek Chmel,Vladimír Mužný
SQL Server 2019 Administrator s Guide Book PDF

Author : Marek Chmel,Vladimír Mužný
Publisher : Packt Publishing Ltd
Page : 522 pages
File Size : 54,7 Mb
Release : 2020-09-11
Category : Computers
ISBN : 9781789950335

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SQL Server 2019 Administrator's Guide by Marek Chmel,Vladimír Mužný Pdf

Use Microsoft SQL Server 2019 to implement, administer, and secure a robust database solution that is disaster-proof and highly available Key FeaturesExplore new features of SQL Server 2019 to set up, administer, and maintain your database solution successfullyDevelop a dynamic SQL Server environment and streamline big data pipelinesDiscover best practices for fixing performance issues, database access management, replication, and securityBook Description SQL Server is one of the most popular relational database management systems developed by Microsoft. This second edition of the SQL Server Administrator's Guide will not only teach you how to administer an enterprise database, but also help you become proficient at managing and keeping the database available, secure, and stable. You’ll start by learning how to set up your SQL Server and configure new and existing environments for optimal use. The book then takes you through designing aspects and delves into performance tuning by showing you how to use indexes effectively. You’ll understand certain choices that need to be made about backups, implement security policy, and discover how to keep your environment healthy. Tools available for monitoring and managing a SQL Server database, including automating health reviews, performance checks, and much more, will also be discussed in detail. As you advance, the book covers essential topics such as migration, upgrading, and consolidation, along with the techniques that will help you when things go wrong. Once you’ve got to grips with integration with Azure and streamlining big data pipelines, you’ll learn best practices from industry experts for maintaining a highly reliable database solution. Whether you are an administrator or are looking to get started with database administration, this SQL Server book will help you develop the skills you need to successfully create, design, and deploy database solutions. What you will learnDiscover SQL Server 2019’s new features and how to implement themFix performance issues by optimizing queries and making use of indexesDesign and use an optimal database management strategyCombine SQL Server 2019 with Azure and manage your solution using various automation techniquesImplement efficient backup and recovery techniques in line with security policiesGet to grips with migrating, upgrading, and consolidating with SQL ServerSet up an AlwaysOn-enabled stable and fast SQL Server 2019 environmentUnderstand how to work with Big Data on SQL Server environmentsWho this book is for This book is for database administrators, database developers, and anyone who wants to administer large and multiple databases single-handedly using Microsoft's SQL Server 2019. Basic awareness of database concepts and experience with previous SQL Server versions is required.

Azure SQL Revealed

Bob Ward
Azure SQL Revealed Book PDF

Author : Bob Ward
Publisher : Apress
Page : 519 pages
File Size : 54,7 Mb
Release : 2020-10-30
Category : Computers
ISBN : 9781484259313

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Azure SQL Revealed by Bob Ward Pdf

Access detailed content and examples on Azure SQL, a set of cloud services that allows for SQL Server to be deployed in the cloud. This book teaches the fundamentals of deployment, configuration, security, performance, and availability of Azure SQL from the perspective of these same tasks and capabilities in SQL Server. This distinct approach makes this book an ideal learning platform for readers familiar with SQL Server on-premises who want to migrate their skills toward providing cloud solutions to an enterprise market that is increasingly cloud-focused. If you know SQL Server, you will love this book. You will be able to take your existing knowledge of SQL Server and translate that knowledge into the world of cloud services from the Microsoft Azure platform, and in particular into Azure SQL. This book provides information never seen before about the history and architecture of Azure SQL. Author Bob Ward is a leading expert with access to and support fromthe Microsoft engineering team that built Azure SQL and related database cloud services. He presents powerful, behind-the-scenes insights into the workings of one of the most popular database cloud services in the industry. What You Will Learn Know the history of Azure SQL Deploy, configure, and connect to Azure SQL Choose the correct way to deploy SQL Server in Azure Migrate existing SQL Server instances to Azure SQL Monitor and tune Azure SQL’s performance to meet your needs Ensure your data and application are highly available Secure your data from attack and theft Who This Book Is For This book is designed to teach SQL Server in the Azure cloud to the SQL Server professional. Anyone who operates, manages, or develops applications for SQL Server will benefit from this book. Readers will be able to translate their current knowledge of SQL Server—especially of SQL Server 2019—directly to Azure. This book is ideal for database professionals looking to remain relevant as their customer base moves into the cloud.

SQL Server Big Data Clusters

Benjamin Weissman,Enrico van de Laar
SQL Server Big Data Clusters Book PDF

Author : Benjamin Weissman,Enrico van de Laar
Publisher : Apress
Page : 255 pages
File Size : 46,7 Mb
Release : 2019-11-26
Category : Computers
ISBN : 9781484251102

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SQL Server Big Data Clusters by Benjamin Weissman,Enrico van de Laar Pdf

Get a head-start on learning one of SQL Server 2019’s latest and most impactful features—Big Data Clusters—that combines large volumes of non-relational data for analysis along with data stored relationally inside a SQL Server database. This book provides a first look at Big Data Clusters based upon SQL Server 2019 Release Candidate 1. Start now and get a jump on your competition in learning this important new feature. Big Data Clusters is a feature set covering data virtualization, distributed computing, and relational databases and provides a complete AI platform across the entire cluster environment. This book shows you how to deploy, manage, and use Big Data Clusters. For example, you will learn how to combine data stored on the HDFS file system together with data stored inside the SQL Server instances that make up the Big Data Cluster. Filled with clear examples and use cases, this book provides everything necessary to get started working with Big Data Clusters in SQL Server 2019 using Release Candidate 1. You will learn about the architectural foundations that are made up from Kubernetes, Spark, HDFS, and SQL Server on Linux. You then are shown how to configure and deploy Big Data Clusters in on-premises environments or in the cloud. Next, you are taught about querying. You will learn to write queries in Transact-SQL—taking advantage of skills you have honed for years—and with those queries you will be able to examine and analyze data from a wide variety of sources such as Apache Spark. Through the theoretical foundation provided in this book and easy-to-follow example scripts and notebooks, you will be ready to use and unveil the full potential of SQL Server 2019: combining different types of data spread across widely disparate sources into a single view that is useful for business intelligence and machine learning analysis. What You Will LearnInstall, manage, and troubleshoot Big Data Clusters in cloud or on-premise environments Analyze large volumes of data directly from SQL Server and/or Apache Spark Manage data stored in HDFS from SQL Server as if it were relational data Implement advanced analytics solutions through machine learning and AI Expose different data sources as a single logical source using data virtualization Who This Book Is For For data engineers, data scientists, data architects, and database administrators who want to employ data virtualization and big data analytics in their environment

Advanced Analytics with Power BI and Excel

Dejan Sarka,Jernej Rihar,Klemen Vončina
Advanced Analytics with Power BI and Excel Book PDF

Author : Dejan Sarka,Jernej Rihar,Klemen Vončina
Publisher : Orange Education Pvt Ltd
Page : 400 pages
File Size : 51,9 Mb
Release : 2023-10-13
Category : Computers
ISBN : 9789391246709

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Advanced Analytics with Power BI and Excel by Dejan Sarka,Jernej Rihar,Klemen Vončina Pdf

Empowering You to Master Business Intelligence and Solve Real-world Analytical Problems. KEY FEATURES ● Fulfill your business analytics objectives through comprehensive theory and hands-on, real-world examples. ● Dive into the world of advanced Business Intelligence using data science with Power BI. ● Acquire in-demand skills that align with the current job market and enhance your career prospects. DESCRIPTION In today's analytics landscape, proficiency in Excel and Power BI is practically a prerequisite for a successful career. This book provides a concise yet comprehensive exploration of these foundational elements of modern Business Intelligence (BI). Comprising ten chapters, this book covers the entire development journey of a Power BI analytical solution, spanning from data modeling and preparation to report creation, publication, and dashboard and app deployment. It offers insights into security measures and performance optimization, ensuring a well-rounded understanding of the BI ecosystem. Furthermore, it delves into advanced topics, such as leveraging data science algorithms within reports, offering readers an extensive learning experience. The book takes a holistic approach to these technologies, offering a contrast to the narrow perspectives often adopted by contemporary BI professionals who rely solely on a single tool or language. The book allows data enrichment through calculations that can be achieved using various languages, including SQL queries at the source, Power Query Formula Language, M, Python, R, and DAX. By the end of this book you will master these options but be able to also weigh their pros and cons to make informed decisions. WHAT WILL YOU LEARN ● Learn the art of crafting comprehensive reports and analyses using Excel and Power BI. ● Discover efficient methods for sharing your insights and reports with your team or clients. ● Gain the skills to maintain and update your analytical solutions effectively. ● Understand the significance of extracting valuable information from data in today's business landscape. ● Address the increasing demand for skilled analysts, filling a critical gap in the industry. ● Dive into numerous real-world examples to develop a strong foundation in analytical techniques. WHO IS THIS BOOK FOR? This book caters to aspiring Business Intelligence developers, analysts seeking to enhance their skills, and beginners looking to efficiently use tools like Excel. It also appeals to data enthusiasts and serves as a practical resource for students and educators in data-related fields. If you are a professional from the industry interested in leveraging Power BI and Excel for data-driven decision-making, this book is for you. TABLE OF CONTENTS 1. Introducing the Theoretical Background for Democratizing Analytics 2. Acquiring and transforming data from multiple sources 3. Power Query Transformations and Formula Language (M) Overview 4. Building a simple analytical solution with Power Pivot in Excel 5. Enhancing the model and business analysis with DAX 6. Creating reports in Power BI Desktop 7. Using the Power BI Service 8. Data Science in Power BI 9. Optimizing Power BI models and reports 10. Deploying, Maintaining, and Securing Power BI Assets Index