| 000 | 00000nam u2200205 a 4500 | |
| 001 | 000046063311 | |
| 005 | 20210112104839 | |
| 008 | 210111s2020 xxua 001 0 eng d | |
| 020 | ▼a 9781484259849 | |
| 040 | ▼a 211009 ▼c 211009 ▼d 211009 | |
| 082 | 0 4 | ▼a 005.74 ▼2 23 |
| 084 | ▼a 005.74 ▼2 DDCK | |
| 090 | ▼a 005.74 ▼b W433s2 | |
| 100 | 1 | ▼a Weissman, Benjamin, ▼c (Software engineer). |
| 245 | 1 0 | ▼a SQL Server big data clusters : ▼b data virtualization, data lake, and AI platform / ▼c Benjamin Weissman, Enrico van de Laar. |
| 250 | ▼a 2nd ed. | |
| 260 | ▼a [United States] : ▼b Apress, ▼c c2020. | |
| 300 | ▼a xvii, 260 p. : ▼b ill. ; ▼c 26 cm. | |
| 500 | ▼a Includes index. | |
| 630 | 0 0 | ▼a SQL server. |
| 650 | 0 | ▼a Database management. |
| 650 | 0 | ▼a Big data. |
| 700 | 1 | ▼a Laar, Enrico van de. |
| 945 | ▼a KLPA |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 과학도서관/Sci-Info(2층서고)/ | 청구기호 005.74 W433s2 | 등록번호 121256051 | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
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 Learn
- Install, 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
Intermediate-Advanced user level
New feature
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.
You will:
- Install, 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
정보제공 :
목차
1. What Are Big Data Clusters?2. Big Data Cluster Architecture3. Deployment of Big Data Clusters4. Loading Data into Big Data Clusters5. Querying Big Data Clusters through T-SQL6. Working with Spark in Big Data Clusters7. Machine Learning on Big Data Clusters8. Create and Consume Big Data Cluster Apps9. Maintenance of Big Data Clusters