Azure storage, streaming, and batch analytic : (Record no. 4442)

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
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection Home library Current library Shelving location Date acquired Source of acquisition Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Library of Congress Classification     Non-fiction NU Clark NU Clark Circulation 12/14/2024 Purchased - Amazon   GC TK 5105.88813 .N83 2020 NUCLA000005376 03/28/2025 12/14/2024 Books

© 2024 NU LRC CLARK. All rights reserved. Privacy Policy I Powered by: KOHA