Hands-On Data Science with SQL Server 2017: Perform end-to-end data analysis to gain efficient data insight
bFind, explore, and extract big data to transform into actionable insights /b h4Key Features/h4 ulliPerform end-to-end data analysis- from exploration to visualization /li liReal-world examples, tasks, and interview queries to be a proficient data scientist /li liUnderstand how SQL is used for big d...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham
Packt Publishing Limited
2018
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| Ausgabe: | 1 |
| Schlagworte: | |
| Zusammenfassung: | bFind, explore, and extract big data to transform into actionable insights /b h4Key Features/h4 ulliPerform end-to-end data analysis- from exploration to visualization /li liReal-world examples, tasks, and interview queries to be a proficient data scientist /li liUnderstand how SQL is used for big data processing using HiveQL and SparkSQL /li /ul h4Book Description/h4 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. h4What you will learn/h4 ulliUnderstand what data science is and how SQL Server is used for big data processing /li liAnalyze incoming data with SQL queries and visualizations /li liCreate, train, and evaluate predictive models /li liMake predictions using trained models and establish regular retraining courses /li liIncorporate data source querying into SQL Server /li liEnhance built-in T-SQL capabilities using SQLCLR /li liVisualize data with Reporting Services, Power View, and Power BI /li liTransform data with R, Python, and Azure /li /ul h4Who this book is for/h4 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 |
| Beschreibung: | 1 Online-Ressource (506 Seiten) |
| ISBN: | 9781788996433 |
Internformat
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| 520 | |a bFind, explore, and extract big data to transform into actionable insights /b h4Key Features/h4 ulliPerform end-to-end data analysis- from exploration to visualization /li liReal-world examples, tasks, and interview queries to be a proficient data scientist /li liUnderstand how SQL is used for big data processing using HiveQL and SparkSQL /li /ul h4Book Description/h4 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. | ||
| 520 | |a 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. | ||
| 520 | |a h4What you will learn/h4 ulliUnderstand what data science is and how SQL Server is used for big data processing /li liAnalyze incoming data with SQL queries and visualizations /li liCreate, train, and evaluate predictive models /li liMake predictions using trained models and establish regular retraining courses /li liIncorporate data source querying into SQL Server /li liEnhance built-in T-SQL capabilities using SQLCLR /li liVisualize data with Reporting Services, Power View, and Power BI /li liTransform data with R, Python, and Azure /li /ul h4Who this book is for/h4 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 | ||
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| spelling | Chmel, Marek Verfasser aut Hands-On Data Science with SQL Server 2017 Perform end-to-end data analysis to gain efficient data insight Chmel, Marek 1 Birmingham Packt Publishing Limited 2018 1 Online-Ressource (506 Seiten) txt rdacontent c rdamedia cr rdacarrier bFind, explore, and extract big data to transform into actionable insights /b h4Key Features/h4 ulliPerform end-to-end data analysis- from exploration to visualization /li liReal-world examples, tasks, and interview queries to be a proficient data scientist /li liUnderstand how SQL is used for big data processing using HiveQL and SparkSQL /li /ul h4Book Description/h4 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. h4What you will learn/h4 ulliUnderstand what data science is and how SQL Server is used for big data processing /li liAnalyze incoming data with SQL queries and visualizations /li liCreate, train, and evaluate predictive models /li liMake predictions using trained models and establish regular retraining courses /li liIncorporate data source querying into SQL Server /li liEnhance built-in T-SQL capabilities using SQLCLR /li liVisualize data with Reporting Services, Power View, and Power BI /li liTransform data with R, Python, and Azure /li /ul h4Who this book is for/h4 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 COMPUTERS / Data Modeling & Design COMPUTERS / Data Visualization Muzny, Vladimir Sonstige oth |
| spellingShingle | Chmel, Marek Hands-On Data Science with SQL Server 2017 Perform end-to-end data analysis to gain efficient data insight COMPUTERS / Data Modeling & Design COMPUTERS / Data Visualization |
| title | Hands-On Data Science with SQL Server 2017 Perform end-to-end data analysis to gain efficient data insight |
| title_auth | Hands-On Data Science with SQL Server 2017 Perform end-to-end data analysis to gain efficient data insight |
| title_exact_search | Hands-On Data Science with SQL Server 2017 Perform end-to-end data analysis to gain efficient data insight |
| title_exact_search_txtP | Hands-On Data Science with SQL Server 2017 Perform end-to-end data analysis to gain efficient data insight |
| title_full | Hands-On Data Science with SQL Server 2017 Perform end-to-end data analysis to gain efficient data insight Chmel, Marek |
| title_fullStr | Hands-On Data Science with SQL Server 2017 Perform end-to-end data analysis to gain efficient data insight Chmel, Marek |
| title_full_unstemmed | Hands-On Data Science with SQL Server 2017 Perform end-to-end data analysis to gain efficient data insight Chmel, Marek |
| title_short | Hands-On Data Science with SQL Server 2017 |
| title_sort | hands on data science with sql server 2017 perform end to end data analysis to gain efficient data insight |
| title_sub | Perform end-to-end data analysis to gain efficient data insight |
| topic | COMPUTERS / Data Modeling & Design COMPUTERS / Data Visualization |
| topic_facet | COMPUTERS / Data Modeling & Design COMPUTERS / Data Visualization |
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