As part of the best-selling
Pocket Primer series, this book is primarily for data scientists and machine learning engineers who want to expand their current knowledge of SQL using My SQL as the primary RDBMS. It includes Python-based code samples to access data from a My SQL table in a Pandas data frame and Java-based code samples for accessing data in a My SQL database, along with XML documents and JSON documents. The book also introduces No SQL, presents an overview of Mongo DB, and SQLite–an open-source RDBMS availableon mobile devices. The final chapter of the book covers a diverse set of miscellaneous topics, such as normalization, schemas, database optimization, and performance. Numerous code samples and listings are included to support myriad topics. Companion files with source code and figures are available from the publisher.
FEATURES:
Pocket Primer series, this book is primarily for data scientists and machine learning engineers who want to expand their current knowledge of SQL using My SQL as the primary RDBMS. It includes Python-based code samples to access data from a My SQL table in a Pandas data frame and Java-based code samples for accessing data in a My SQL database, along with XML documents and JSON documents. The book also introduces No SQL, presents an overview of Mongo DB, and SQLite–an open-source RDBMS availableon mobile devices. The final chapter of the book covers a diverse set of miscellaneous topics, such as normalization, schemas, database optimization, and performance. Numerous code samples and listings are included to support myriad topics. Companion files with source code and figures are available from the publisher.
FEATURES:
- Covers extensive topics related to SQL, using My SQL as the primary RDBMS
- Introduces No SQL, presents an overview of Mongo DB, and SQLite–an open-source RDBMS available on mobile devices
- Features companion files with source code and figures from the book
€52.75
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格式 PDF ● 网页 292 ● ISBN 9781683928133 ● 出版者 Mercury Learning and Information ● 发布时间 2022 ● 下载 3 时 ● 货币 EUR ● ID 8809021 ● 复制保护 Adobe DRM
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