MARC details
| 000 -LEADER |
|---|
| fixed length control field |
04087nam a2200313 i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
CSPC |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20250917104414.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
250916s2022 -uka 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781803231501 |
| 040 ## - CATALOGING SOURCE |
|---|
| Transcribing agency |
CSPC |
| Original cataloging agency |
CSPC |
| Language of cataloging |
eng |
| Description conventions |
rda |
| 050 04 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
TK5105.88813 |
| Item number |
.A987 2022 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
006.76 |
| Item number |
Ag15a |
| Edition number |
23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Agarwal, Gaurav, |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Azure Synapse Analytics cookbook : |
| Remainder of title |
implement a limitless analytical platform using effective recipes for azure synapse / |
| Statement of responsibility, etc. |
Gaurav Agarwal and Meenakshi Muralidharan. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Birmingham, UK : |
| Name of producer, publisher, distributor, manufacturer |
Packt Publishing, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2022. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xvii, 218 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
24 cm. |
| 336 ## - CONTENT TYPE |
|---|
| Source |
rdacontent |
| Content type term |
text |
| 337 ## - MEDIA TYPE |
|---|
| Source |
rdamedia |
| Media type term |
unmediated |
| 338 ## - CARRIER TYPE |
|---|
| Source |
rdacarrier |
| Carrier type term |
volume |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Includes index. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Choosing the optimal method for loading data to synapse -- Creating robust data pipelines and data transformation -- Processing data optimally across multiple nodes -- Engineering real-time analytics with azure synapse link using cosmos DB -- Data transformation and processing with synapse notebooks -- Enriching data using the azure ML automl regression model -- Visualizing and reporting petabytes of data -- Data cataloging and governance -- MPP Platform migration to synapse. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
"Whether you're an Azure veteran or just getting started, get the most out of your data with effective recipes for Azure Synapse Key Features Discover new techniques for using Azure Synapse, regardless of your level of expertise Integrate Azure Synapse with other data sources to create a unified experience for your analytical needs using Microsoft Azure Learn how to embed data governance and classification with Synapse Analytics by integrating Azure Purview Book Description As data warehouse management becomes increasingly integral to successful organizations, choosing and running the right solution is more important than ever. Microsoft Azure Synapse is an enterprise-grade, cloud-based data warehousing platform, and this book holds the key to using Synapse to its full potential. If you want the skills and confidence to create a robust enterprise analytical platform, this cookbook is a great place to start. You'll learn and execute enterprise-level deployments on medium-to-large data platforms. Using the step-by-step recipes and accompanying theory covered in this book, you'll understand how to integrate various services with Synapse to make it a robust solution for all your data needs. Whether you're new to Azure Synapse or just getting started, you'll find the instructions you need to solve any problem you may face, including using Azure services for data visualization as well as for artificial intelligence (AI) and machine learning (ML) solutions. By the end of this Azure book, you'll have the skills you need to implement an enterprise-grade analytical platform, enabling your organization to explore and manage heterogeneous data workloads and employ various data integration services to solve real-time industry problems. What you will learn Discover the optimal approach for loading and managing data Work with notebooks for various tasks, including ML Run real-time analytics using Azure Synapse Link for Cosmos DB Perform exploratory data analytics using Apache Spark Read and write DataFrames into Parquet files using PySpark Create reports on various metrics for monitoring key KPIs Combine Power BI and Serverless for distributed analysis Enhance your Synapse analysis with data visualizations Who this book is for This book is for data architects, data engineers, and developers who want to learn and understand the main concepts of Azure Synapse analytics and implement them in real-world scenarios." |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Data warehousing. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Big data |
| General subdivision |
Management. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Microsoft Azure (Computing platform). |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Muralidharan, Meenakshi, |
| Relator term |
author. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Suppress in OPAC |
No |
| Koha item type |
Books |
| Classification part |
006.76 |
| Item part |
Ag15a |
| Call number prefix |
GRD |
| Call number suffix |
2022 |
| Edition |
23 |
