Data lake analytics on microsoft azure (Record no. 222706)
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| fixed length control field | 04006nam a22004935i 4500 |
| 001 - CONTROL NUMBER | |
| control field | ssj0002421797 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | WaSeSS |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220930104639.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
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| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr n |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 201008s2020 xxu| o |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781484262511 |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1007/978-1-4842-6252-8 |
| Source of number or code | doi |
| 040 ## - CATALOGING SOURCE | |
| Modifying agency | WaSeSS |
| Transcribing agency | AIMIT LIBRARY |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | QA76.76.M52 |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UMP |
| Source | bicssc |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | COM051380 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UMP |
| Source | thema |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.448 |
| Edition number | 1 |
| Item number | CHAH |
| 092 ## - LOCALLY ASSIGNED DEWEY CALL NUMBER (OCLC) | |
| Classification number | EBOOK |
| 999 ## - SYSTEM CONTROL NUMBERS (KOHA) | |
| Koha Dewey Subclass [OBSOLETE] | 03678120 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Chawla, Harsh. |
| 9 (RLIN) | 32728 |
| 245 10 - TITLE STATEMENT | |
| Title | Data lake analytics on microsoft azure |
| Remainder of title | practitioner's guide to big data engineering / |
| Statement of responsibility, etc. | By Harsh Chawla and Pankaj Khattar ; Foreword by Sandeep J Alur. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Berkeley, CA : |
| Name of publisher, distributor, etc. | Apress : |
| -- | Imprint: Apress , |
| Date of publication, distribution, etc. | 2020. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xvii,222p. ; |
| Other physical details | PB |
| Dimensions | 25.5 cm |
| 347 ## - DIGITAL FILE CHARACTERISTICS | |
| File type | text file |
| Encoding format | |
| Source | rda |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Chapter 1: Data Lake Analytics Concepts -- Chapter 2: Building Blocks of Data Analytics -- Chapter 3: Data Analytics on Public Cloud -- Chapter 4: Data Ingestion -- Chapter 5: Data Storage -- Chapter 6: Data Preparation and Training Part I -- Chapter 7: Data Preparation and Training Part II -- Chapter 8: Model and Serve -- Chapter 9: Summary. |
| 506 ## - RESTRICTIONS ON ACCESS NOTE | |
| Terms governing access | Requires an SPL library card. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Get a 360-degree view of how the journey of data analytics solutions has evolved from monolithic data stores and enterprise data warehouses to data lakes and modern data warehouses. You will learn from the authors' experience working with large-scale enterprise customer engagements. This book includes comprehensive coverage of how: To architect data lake analytics solutions by choosing suitable technologies available on Microsoft Azure The advent of microservices applications covering ecommerce or modern solutions built on IoT and how real-time streaming data has completely disrupted this ecosystem These data analytics solutions have been transformed from solely understanding the trends from historical data to building predictions by infusing machine learning technologies into the solutions Data platform professionals who have been working on relational data stores, non-relational data stores, and big data technologies will find the content in this book useful. The book also can help you start your journey into the data engineer world as it provides an overview of advanced data analytics and touches on data science concepts and various artificial intelligence and machine learning technologies available on Microsoft Azure. You will understand the: Concepts of data lake analytics, the modern data warehouse, and advanced data analytics Architecture patterns of the modern data warehouse and advanced data analytics solutions Phases-such as Data Ingestion, Store, Prep and Train, and Model and Serve-of data analytics solutions and technology choices available on Azure under each phase In-depth coverage of real-time and batch mode data analytics solutions architecture Various managed services available on Azure such as Synapse analytics, event hubs, Stream analytics, CosmosDB, and managed Hadoop services such as Databricks and HDInsight. |
| 538 ## - SYSTEM DETAILS NOTE | |
| System details note | Mode of access: World Wide Web. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Microsoft software |
| 9 (RLIN) | 32729 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Microsoft .NET Framework |
| 9 (RLIN) | 32730 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Big data |
| 9 (RLIN) | 32731 |
| 655 #7 - INDEX TERM--GENRE/FORM | |
| Genre/form data or focus term | Electronic books. |
| Source of term | local |
| 9 (RLIN) | 32732 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Khattar, Pankaj. |
| 9 (RLIN) | 32733 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Alur, Sandeep J. |
| Relator term | (Foreword by) |
| 9 (RLIN) | 32778 |
| 773 0# - HOST ITEM ENTRY | |
| Title | Springer Nature eBook |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9781484262511 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9781484262535 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9781484267240 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Link text | View this electronic item in O'Reilly Online Learning: Academic/Public Library Edition. |
| Uniform Resource Identifier | <a href="https://ezproxy.spl.org/login?url=https://learning.oreilly.com/library/view/~/9781484262528/?ar">https://ezproxy.spl.org/login?url=https://learning.oreilly.com/library/view/~/9781484262528/?ar</a> |
| Public note | An e-book available through full-text database. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Book |
| Edition | 1st |
| Call number prefix | 005.448 CHAH |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Date acquired | Source of acquisition | Cost, normal purchase price | Inventory number | Total Checkouts | Full call number | Barcode | Date last seen | Cost, replacement price | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | MCA | St Aloysius Institute of Management & Information Technology | St Aloysius Institute of Management & Information Technology | 03/24/2022 | Biblios Book Point | 849.00 | Bill no:6625; Bill dt:2022-03-22 | 005.448 CHAH | MCA17096 | 07/21/2025 | 679.20 | 04/28/2022 | Book |
