Hands On Data Science With Sql Server 2017

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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 : 42,5 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.

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 : 53,9 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 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 : 42,6 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.

Learn T-SQL Querying

Pedro Lopes,Pam Lahoud
Learn T SQL Querying Book PDF

Author : Pedro Lopes,Pam Lahoud
Publisher : Packt Publishing Ltd
Page : 474 pages
File Size : 44,7 Mb
Release : 2019-05-03
Category : Computers
ISBN : 9781789342970

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Learn T-SQL Querying by Pedro Lopes,Pam Lahoud Pdf

Troubleshoot query performance issues, identify anti-patterns in code, and write efficient T-SQL queries Key Features Discover T-SQL functionalities and services that help you interact with relational databases Understand the roles, tasks, and responsibilities of a T-SQL developer Explore solutions for carrying out database querying tasks, database administration, and troubleshooting Book DescriptionTransact-SQL (T-SQL) is Microsoft's proprietary extension to the SQL language used with Microsoft SQL Server and Azure SQL Database. This book will be a usefu to learning the art of writing efficient T-SQL code in modern SQL Server versions as well as the Azure SQL Database. The book will get you started with query processing fundamentals to help you write powerful, performant T-SQL queries. You will then focus on query execution plans and leverage them for troubleshooting. In later chapters, you will explain how to identify various T-SQL patterns and anti-patterns. This will help you analyze execution plans to gain insights into current performance, and determine whether or not a query is scalable. You will also build diagnostic queries using dynamic management views (DMVs) and dynamic management functions (DMFs) to address various challenges in T-SQL execution. Next, you will work with the built-in tools of SQL Server to shorten the time taken to address query performance and scalability issues. In the concluding chapters, this will guide you through implementing various features, such as Extended Events, Query Store, and Query Tuning Assistant, using hands-on examples. By the end of the book, you will have developed the skills to determine query performance bottlenecks, avoid pitfalls, and discover the anti-patterns in use.What you will learn Use Query Store to understand and easily change query performance Recognize and eliminate bottlenecks that lead to slow performance Deploy quick fixes and long-term solutions to improve query performance Implement best practices to minimize performance risk using T-SQL Achieve optimal performance by ensuring careful query and index design Use the latest performance optimization features in SQL Server 2017 and SQL Server 2019 Protect query performance during upgrades to newer versions of SQL Server Who this book is for This book is for database administrators, database developers, data analysts, data scientists, and T-SQL practitioners who want to get started with writing T-SQL code and troubleshooting query performance issues with the help of practical examples. Previous knowledge of T-SQL querying is not required to get started with this book.

Automated Machine Learning with Microsoft Azure

Dennis Michael Sawyers
Automated Machine Learning with Microsoft Azure Book PDF

Author : Dennis Michael Sawyers
Publisher : Packt Publishing Ltd
Page : 340 pages
File Size : 54,8 Mb
Release : 2021-04-23
Category : Computers
ISBN : 9781800561977

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Automated Machine Learning with Microsoft Azure by Dennis Michael Sawyers Pdf

A practical, step-by-step guide to using Microsoft's AutoML technology on the Azure Machine Learning service for developers and data scientists working with the Python programming language Key FeaturesCreate, deploy, productionalize, and scale automated machine learning solutions on Microsoft AzureImprove the accuracy of your ML models through automatic data featurization and model trainingIncrease productivity in your organization by using artificial intelligence to solve common problemsBook Description Automated Machine Learning with Microsoft Azure will teach you how to build high-performing, accurate machine learning models in record time. It will equip you with the knowledge and skills to easily harness the power of artificial intelligence and increase the productivity and profitability of your business. Guided user interfaces (GUIs) enable both novices and seasoned data scientists to easily train and deploy machine learning solutions to production. Using a careful, step-by-step approach, this book will teach you how to use Azure AutoML with a GUI as well as the AzureML Python software development kit (SDK). First, you'll learn how to prepare data, train models, and register them to your Azure Machine Learning workspace. You'll then discover how to take those models and use them to create both automated batch solutions using machine learning pipelines and real-time scoring solutions using Azure Kubernetes Service (AKS). Finally, you will be able to use AutoML on your own data to not only train regression, classification, and forecasting models but also use them to solve a wide variety of business problems. By the end of this Azure book, you'll be able to show your business partners exactly how your ML models are making predictions through automatically generated charts and graphs, earning their trust and respect. What you will learnUnderstand how to train classification, regression, and forecasting ML algorithms with Azure AutoMLPrepare data for Azure AutoML to ensure smooth model training and deploymentAdjust AutoML configuration settings to make your models as accurate as possibleDetermine when to use a batch-scoring solution versus a real-time scoring solutionProductionalize your AutoML and discover how to quickly deliver valueCreate real-time scoring solutions with AutoML and Azure Kubernetes ServiceTrain a large number of AutoML models at once using the AzureML Python SDKWho this book is for Data scientists, aspiring data scientists, machine learning engineers, or anyone interested in applying artificial intelligence or machine learning in their business will find this machine learning book useful. You need to have beginner-level knowledge of artificial intelligence and a technical background in computer science, statistics, or information technology before getting started. Familiarity with Python will help you implement the more advanced features found in the chapters, but even data analysts and SQL experts will be able to train ML models after finishing this book.

SQL Server 2017 Integration Services Cookbook

Christian Cote,Matija Lah,Dejan Sarka
SQL Server 2017 Integration Services Cookbook Book PDF

Author : Christian Cote,Matija Lah,Dejan Sarka
Publisher : Packt Publishing Ltd
Page : 551 pages
File Size : 46,9 Mb
Release : 2017-06-30
Category : Computers
ISBN : 9781786460875

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SQL Server 2017 Integration Services Cookbook by Christian Cote,Matija Lah,Dejan Sarka Pdf

Harness the power of SQL Server 2017 Integration Services to build your data integration solutions with ease About This Book Acquaint yourself with all the newly introduced features in SQL Server 2017 Integration Services Program and extend your packages to enhance their functionality This detailed, step-by-step guide covers everything you need to develop efficient data integration and data transformation solutions for your organization Who This Book Is For This book is ideal for software engineers, DW/ETL architects, and ETL developers who need to create a new, or enhance an existing, ETL implementation with SQL Server 2017 Integration Services. This book would also be good for individuals who develop ETL solutions that use SSIS and are keen to learn the new features and capabilities in SSIS 2017. What You Will Learn Understand the key components of an ETL solution using SQL Server 2016-2017 Integration Services Design the architecture of a modern ETL solution Have a good knowledge of the new capabilities and features added to Integration Services Implement ETL solutions using Integration Services for both on-premises and Azure data Improve the performance and scalability of an ETL solution Enhance the ETL solution using a custom framework Be able to work on the ETL solution with many other developers and have common design paradigms or techniques Effectively use scripting to solve complex data issues In Detail SQL Server Integration Services is a tool that facilitates data extraction, consolidation, and loading options (ETL), SQL Server coding enhancements, data warehousing, and customizations. With the help of the recipes in this book, you'll gain complete hands-on experience of SSIS 2017 as well as the 2016 new features, design and development improvements including SCD, Tuning, and Customizations. At the start, you'll learn to install and set up SSIS as well other SQL Server resources to make optimal use of this Business Intelligence tools. We'll begin by taking you through the new features in SSIS 2016/2017 and implementing the necessary features to get a modern scalable ETL solution that fits the modern data warehouse. Through the course of chapters, you will learn how to design and build SSIS data warehouses packages using SQL Server Data Tools. Additionally, you'll learn to develop SSIS packages designed to maintain a data warehouse using the Data Flow and other control flow tasks. You'll also be demonstrated many recipes on cleansing data and how to get the end result after applying different transformations. Some real-world scenarios that you might face are also covered and how to handle various issues that you might face when designing your packages. At the end of this book, you'll get to know all the key concepts to perform data integration and transformation. You'll have explored on-premises Big Data integration processes to create a classic data warehouse, and will know how to extend the toolbox with custom tasks and transforms. Style and approach This cookbook follows a problem-solution approach and tackles all kinds of data integration scenarios by using the capabilities of SQL Server 2016 Integration Services. This book is well supplemented with screenshots, tips, and tricks. Each recipe focuses on a particular task and is written in a very easy-to-follow manner.

SQL on Big Data

Sumit Pal
SQL on Big Data Book PDF

Author : Sumit Pal
Publisher : Apress
Page : 165 pages
File Size : 45,6 Mb
Release : 2016-11-17
Category : Computers
ISBN : 9781484222478

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SQL on Big Data by Sumit Pal Pdf

Learn various commercial and open source products that perform SQL on Big Data platforms. You will understand the architectures of the various SQL engines being used and how the tools work internally in terms of execution, data movement, latency, scalability, performance, and system requirements. This book consolidates in one place solutions to the challenges associated with the requirements of speed, scalability, and the variety of operations needed for data integration and SQL operations. After discussing the history of the how and why of SQL on Big Data, the book provides in-depth insight into the products, architectures, and innovations happening in this rapidly evolving space. SQL on Big Data discusses in detail the innovations happening, the capabilities on the horizon, and how they solve the issues of performance and scalability and the ability to handle different data types. The book covers how SQL on Big Data engines are permeating the OLTP, OLAP, and Operational analytics space and the rapidly evolving HTAP systems. You will learn the details of: Batch Architectures—Understand the internals and how the existing Hive engine is built and how it is evolving continually to support new features and provide lower latency on queries Interactive Architectures—Understanding how SQL engines are architected to support low latency on large data sets Streaming Architectures—Understanding how SQL engines are architected to support queries on data in motion using in-memory and lock-free data structures Operational Architectures—Understanding how SQL engines are architected for transactional and operational systems to support transactions on Big Data platforms Innovative Architectures—Explore the rapidly evolving newer SQL engines on Big Data with innovative ideas and concepts Who This Book Is For: Business analysts, BI engineers, developers, data scientists and architects, and quality assurance professionals/div

Hands-On Machine Learning with Azure

Thomas K Abraham,Parashar Shah,Jen Stirrup,Lauri Lehman,Anindita Basak
Hands On Machine Learning with Azure Book PDF

Author : Thomas K Abraham,Parashar Shah,Jen Stirrup,Lauri Lehman,Anindita Basak
Publisher : Packt Publishing Ltd
Page : 340 pages
File Size : 46,7 Mb
Release : 2018-10-31
Category : Computers
ISBN : 9781789130270

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Hands-On Machine Learning with Azure by Thomas K Abraham,Parashar Shah,Jen Stirrup,Lauri Lehman,Anindita Basak Pdf

Implement machine learning, cognitive services, and artificial intelligence solutions by leveraging Azure cloud technologies Key FeaturesLearn advanced concepts in Azure ML and the Cortana Intelligence Suite architectureExplore ML Server using SQL Server and HDInsight capabilitiesImplement various tools in Azure to build and deploy machine learning modelsBook Description Implementing Machine learning (ML) and Artificial Intelligence (AI) in the cloud had not been possible earlier due to the lack of processing power and storage. However, Azure has created ML and AI services that are easy to implement in the cloud. Hands-On Machine Learning with Azure teaches you how to perform advanced ML projects in the cloud in a cost-effective way. The book begins by covering the benefits of ML and AI in the cloud. You will then explore Microsoft’s Team Data Science Process to establish a repeatable process for successful AI development and implementation. You will also gain an understanding of AI technologies available in Azure and the Cognitive Services APIs to integrate them into bot applications. This book lets you explore prebuilt templates with Azure Machine Learning Studio and build a model using canned algorithms that can be deployed as web services. The book then takes you through a preconfigured series of virtual machines in Azure targeted at AI development scenarios. You will get to grips with the ML Server and its capabilities in SQL and HDInsight. In the concluding chapters, you’ll integrate patterns with other non-AI services in Azure. By the end of this book, you will be fully equipped to implement smart cognitive actions in your models. What you will learnDiscover the benefits of leveraging the cloud for ML and AIUse Cognitive Services APIs to build intelligent botsBuild a model using canned algorithms from Microsoft and deploy it as a web serviceDeploy virtual machines in AI development scenariosApply R, Python, SQL Server, and Spark in AzureBuild and deploy deep learning solutions with CNTK, MMLSpark, and TensorFlowImplement model retraining in IoT, Streaming, and Blockchain solutionsExplore best practices for integrating ML and AI functions with ADLA and logic appsWho this book is for If you are a data scientist or developer familiar with Azure ML and cognitive services and want to create smart models and make sense of data in the cloud, this book is for you. You’ll also find this book useful if you want to bring powerful machine learning services into your cloud applications. Some experience with data manipulation and processing, using languages like SQL, Python, and R, will aid in understanding the concepts covered in this book

The Data Warehouse Lab

Amin Jalali
The Data Warehouse Lab Book PDF

Author : Amin Jalali
Publisher : Unknown
Page : 125 pages
File Size : 54,9 Mb
Release : 2017-10-10
Category : Electronic
ISBN : 1549918796

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The Data Warehouse Lab by Amin Jalali Pdf

This book aims to help students and practitioners who are new to data warehousing to start developing a new data warehouse project from scratch. It shows different phases of data warehousing projects through a simple case. So readers can experience the full data warehouse development life-cycle through a simple example step-by-step. The book is written for the novice user, so there is no requirement for previous experience of working with MS SQL Server and other tools. However, it expects readers to know basics of databases like the table, columns, etc. The book does not aim to teach data warehousing multi-dimensional design principle, nor play the role of a comprehensive reference book on Microsoft Business Intelligence Toolset. It only intends to help readers to gets a hands-on experience on data warehouse development quickly. It aims to give readers basic understanding and experience, so they become more confident in using reference books and online materials. The book does not go through the installation of tools that are used in the sample project. The readers need to install the following tools in order to follow the steps, i.e., Microsoft SQL Server Database Engine, Microsoft SQL Server Integration Services (SSIS) 2017, Microsoft SQL Server Analysis Services (SSAS) 2017, Microsoft SQL Server Management Studio (SSMS), Microsoft Excel, and Microsoft Power BI.

SQL Server 2017

Gregory Blake
SQL Server 2017 Book PDF

Author : Gregory Blake
Publisher : Unknown
Page : 60 pages
File Size : 51,8 Mb
Release : 2017-08-29
Category : Client/server computing
ISBN : 1975875060

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SQL Server 2017 by Gregory Blake Pdf

This book is a guide for you on how to use SQL Server 2017. It begins by guiding you on how to get SQL Server 2017 installed on the various operating systems, including the Server Core. After a successful installation of SQL Server 2017, it comes with only a number of features enabled, while the other features are disabled. This is for the reduction of the features which can be attacked by any potential attacker. This book guides you on how to enable, disable, and perform a number of configurations on the various SQL Server 2017 features. You are then guided on how to create a new database in SQL Server 2017. You will also learn how to play around with this database by adding data to it, adding log files to the database, changing the size of the database, and even modifying the data contained in the database. Note that the book guides you on how to do this by use of both SQL Server Management Studio and Transact-SQL. The process of creating User-defined Data Type Aliases in SQL Server 2017 is also discussed. The process of backing a SQL Server 2017 database is explored. You will learn the various ways to do this, as well how to restore the database. The following topics are discussed in this book:- Installing Microsoft SQL Server 2017- Surface Area Configuration- Creating a Database- Creating User-Defined Data Type Alias- Creating a Full Database Backup- Restoring a Database

Sql for Beginners

Erick Thompson
Sql for Beginners Book PDF

Author : Erick Thompson
Publisher : Charlie Creative Lab
Page : 156 pages
File Size : 48,9 Mb
Release : 2020-11-09
Category : Electronic
ISBN : 1801235163

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Sql for Beginners by Erick Thompson Pdf

Have you ever wanted to learn about SQL and databases, but don't know how or where to start? If yes, then keep reading! But you don't need to hesitate when you want to learn SQL! This book allows you overcome these obstacles and guides you in learning SQL realistic exercises, using logical explanations, images, and allows you to gain and have experience with a custom project to better keep what you learn and help move your progress. You can get SQL quickly within seven days or less using this book. This book will gives you the essential concepts that every software developer or data scientist must know. Did you know that we're generating more than 2.5 quintillion bytes of data each day? This pace of data generation is the reason behind the popularity of high-end technologies such as Data Science, Artificial Intelligence, Machine Learning and so on. Data science involves extracting, processing and analyzing tons of data. So what we need are tools that can be used to store and manage this vast amount of data. Why is SQL needed for Data Science? SQL can used to store, access and extract massive amounts of data in order to carry out the whole Data Science process more smoothly. The need for database support is critical, as companies rely on them on a daily basis to operate and grow. Additionally, many companies use Microsoft SQL Server as a database option for the power, innovative design, flexibility, and scalability covered in this book. Any SQL-related database or site will always be in demand, as it needs people like you to support and develop it. The Relational Database Management System (RDBMS) is widely used by these technology giants not only to store large volumes of data, but also as an advanced tool to retrieve information from the vast amount of data generated by our lives each increasingly digital. SQL is the language of opinion that defines, manipulates, controls, and queries data in an RDBMS. In this book you will find: SQL Basics Installing MySQL applications The Data Definition Language Creating Your SQL Tables Built-In Functions & Calculations Working With Subqueries Different Types of Data to Use in SQL Using Joins In Sql And much more!!! This book is made to help as your own guide so you can learn as well as write efficient and effective SQL queries or statements to retrieve and update data in relevant databases such as MySQL. Click the buy now button!

Proceedings of 4th International Conference on BigData Analysis and Data Mining 2017

ConferenceSeries
Proceedings of 4th International Conference on BigData Analysis and Data Mining 2017 Book PDF

Author : ConferenceSeries
Publisher : ConferenceSeries
Page : 95 pages
File Size : 51,5 Mb
Release : 2024-05-18
Category : Electronic
ISBN : 8210379456XXX

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Proceedings of 4th International Conference on BigData Analysis and Data Mining 2017 by ConferenceSeries Pdf

September 07-08, 2017 Paris, France Key Topics : Cloud computing, Forecasting from Big Data, Optimization and Big Data, New visualization techniques, Social network analysis, Search and data mining, Complexity and Algorithms, Open Data, ETL (Extract, Transform and Load), OLAP Technologies, Big Data Algorithm, Data Mining Analysis, Kernel Methods, Frequent Pattern Mining, Clustering, Data Privacy and Ethics, Big Data Technologies, Business Analytics, Data Mining Methods and Algorithms, Data Mining Tasks and Processes, Data Mining Applications in Science, Engineering, Healthcare and Medicine, Big Data Applications, Data Mining Tools and Software, Data Warehousing, Artificial Intelligence,

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 : 48,8 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.

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 : 272 pages
File Size : 52,9 Mb
Release : 2020-05-23
Category : Computers
ISBN : 9781484259856

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

Use this guide to one of SQL Server 2019’s most impactful features—Big Data Clusters. You will learn about data virtualization and data lakes for this complete artificial intelligence (AI) and machine learning (ML) platform within the SQL Server database engine. You will know how to use Big Data Clusters to combine large volumes of streaming data for analysis along with data stored in a traditional database. For example, you can stream large volumes of data from Apache Spark in real time while executing Transact-SQL queries to bring in relevant additional data from your corporate, SQL Server database. Filled with clear examples and use cases, this book provides everything necessary to get started working with Big Data Clusters in SQL Server 2019. 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 Data engineers, data scientists, data architects, and database administrators who want to employ data virtualization and big data analytics in their environments

Getting Started with SQL

Thomas Nield
Getting Started with SQL Book PDF

Author : Thomas Nield
Publisher : "O'Reilly Media, Inc."
Page : 144 pages
File Size : 46,6 Mb
Release : 2016-02-11
Category : Computers
ISBN : 9781491938560

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Getting Started with SQL by Thomas Nield Pdf

Businesses are gathering data today at exponential rates and yet few people know how to access it meaningfully. If you’re a business or IT professional, this short hands-on guide teaches you how to pull and transform data with SQL in significant ways. You will quickly master the fundamentals of SQL and learn how to create your own databases. Author Thomas Nield provides exercises throughout the book to help you practice your newfound SQL skills at home, without having to use a database server environment. Not only will you learn how to use key SQL statements to find and manipulate your data, but you’ll also discover how to efficiently design and manage databases to meet your needs. You’ll also learn how to: Explore relational databases, including lightweight and centralized models Use SQLite and SQLiteStudio to create lightweight databases in minutes Query and transform data in meaningful ways by using SELECT, WHERE, GROUP BY, and ORDER BY Join tables to get a more complete view of your business data Build your own tables and centralized databases by using normalized design principles Manage data by learning how to INSERT, DELETE, and UPDATE records