Myerscough Scalable Data Analytics with Azure Data Explorer

Modern ways to query, analyze, and perform real-time data analysis on large volumes of data
1. Auflage 2022
ISBN: 978-1-80107-942-6
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 364 Seiten

No detailed description available for "Scalable Data Analytics with Azure Data Explorer".

Autoren/Hrsg.

Myerscough, Jason

Fachgebiete

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

Inhaltsverzeichnis

Table of Contents - Introducing Azure Data Explorer
- Building Your Azure Data Explorer Environment
- Exploring the Azure Data Explorer UI
- Ingesting Data in Azure Data Explorer
- Introducing the Kusto Query Language
- Introducing Time Series Analysis
- Identifying Patterns, Anomalies, and Trends in Your Data
- Data Visualization with Azure Data Explorer and Power BI
- Monitoring and Troubleshooting Azure Data Explorer
- Azure Data Explorer Security
- Performance Tuning in Azure Data Explorer
- Cost Management in Azure Data Explorer

Über Autor(innen)

Myerscough Jason:
Jason Myerscough is a director of Site Reliability Engineering and cloud architect at Nuance Communications. He has been working with Azure daily since 2015. He has migrated his company's flagship product to Azure and designed the environment to be secure and scalable across 16 different Azure regions by applying cloud best practices and governance. He is currently certified as an Azure Administrator (AZ-103) and an Azure DevOps Expert (AZ-400). He holds a first-class bachelor's degree with honors in software engineering and a first class master's degree in computing.