MARC details
000 -LEADER |
fixed length control field |
01941nam a22003017a 4500 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
NUCLARK |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20250328112923.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
250328b ph ||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781617296307 |
040 ## - CATALOGING SOURCE |
Transcribing agency |
NUCLARK |
050 ## - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
TK 5105.88813 .N83 2020 |
100 ## - MAIN ENTRY--PERSONAL NAME |
Personal name |
Nuckolls, Richard |
Relator term |
author |
245 ## - TITLE STATEMENT |
Title |
Azure storage, streaming, and batch analytic : |
Remainder of title |
a guide for data engineers / |
Statement of responsibility, etc. |
Richard Nuckolls |
260 ## - PUBLICATION, DISTRIBUTION, ETC. |
Place of publication, distribution, etc. |
New York : |
Name of publisher, distributor, etc. |
Manning Publications Co., |
Date of publication, distribution, etc. |
c2020 |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xx, 426 pages : |
Other physical details |
illustrations ; |
Dimensions |
24 cm. |
365 ## - TRADE PRICE |
Price amount |
USD41.99 |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc. note |
Includes index. |
505 ## - FORMATTED CONTENTS NOTE |
Formatted contents note |
1. What is data engineering? -- 2. Building an analytics system in Azure -- 3. General storage with Azure Storage accounts -- 4. Azure Data Lake Storage -- 5. Message handling with Event Hubs -- 6. Real-time queries with Azure Stream Analytics -- 7. Batch queries with Azure Data Lake Analytics -- 8. U-SQL for complex analytics -- 9. Integrating with Azure Data Lake Analytics -- 10. Service integration with Azure Data Factory -- 11. Managed SQL with Azure SQL Database -- 12. Integrating Data Factory with SQL Database -- 13. Where to go next. |
520 ## - SUMMARY, ETC. |
Summary, etc. |
"Azure Storage, Streaming, and Batch Analytics shows you how to build state-of-the-art data solutions with tools from the Microsoft Azure platform. Read along to construct a cloud-native data warehouse, adding features like real-time data processing. Based on the Lambda architecture for big data, the design uses scalable services such as Event Hubs, Stream Analytics, and SQL databases. Along the way, you’ll cover most of the topics needed to earn an Azure data engineering certification." |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
MICROSOFT AZURE SQL DATABASE |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
SQL SERVER |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
MICROSOFT AZURE (COMPUTING PLATFORM) |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
CLOUD COMPUTING |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
APPLICATION SOFTWARE -- DEVELOPMENT |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
ONLINE DATABASES |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Library of Congress Classification |
Koha item type |
Books |
Suppress in OPAC |
No |