Agarwal(BLR) / Agarwal / Muralidharan Azure Synapse Analytics Cookbook

Implement a limitless analytical platform using effective recipes for Azure Synapse
1. Auflage 2022
ISBN: 978-1-80324-557-7
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 238 Seiten

No detailed description available for "Azure Synapse Analytics Cookbook".

Autoren/Hrsg.

Agarwal(BLR), Gaurav

Agarwal, Gaurav

Muralidharan, Meenakshi

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur

Inhaltsverzeichnis

Table of Contents - 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

Über Autor(innen)

Agarwal(BLR) Gaurav:

Gaurav Agarwal is a cloud solution architect at Microsoft India Corp. Ltd, working closely with Microsoft clients on Azure data and AI, Azure ML, big data, IoT, and Power BI. He has extensive experience in architecting and transforming data solutions for the modern cloud, and expertise in building large-scale enterprise data warehouse solutions.Muralidharan Meenakshi:

Meenakshi Muralidharan leads modern data platforms and is a renowned chief architect for an Indian multinational information technology services and consulting company. She has extensive experience in building large scale data platforms and applications in Microsoft Azure.