Raj / Jaiswal Azure Databricks Cookbook

Accelerate and scale real-time analytics solutions using the Apache Spark-based analytics service
1. Auflage 2021
ISBN: 978-1-78961-855-6
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 452 Seiten

No detailed description available for "Azure Databricks Cookbook".

Autoren/Hrsg.

Raj, Phani

Jaiswal, Vinod

Fachgebiete

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

Inhaltsverzeichnis

Table of Contents - Creating an Azure Databricks Service
- Reading and Writing Data from and to Various Azure Services and File Formats
- Understanding Spark Query Execution
- Working with Streaming Data
- Integrating with Azure Key-Vault, App Configuration and Log Analytics
- Exploring Delta Lake in Azure Databricks
- Implementing Near-Real-Time Analytics and Building Modern Data Warehouse

- Databricks SQL
- DevOps Integrations and Implementing CI/CD for Azure Databricks
- Understanding Security and Monitoring in Azure Databricks

Über Autor(innen)

Raj Phani:

Phani Raj is an experienced data architect and a product manager having 15 years of experience working with customers on building data platforms on both on-prem and on cloud. Worked on designing and implementing large scale big data solutions for customers on different verticals. His passion for continuous learning and adapting to the dynamic nature of technology underscores his role as a trusted advisor in the realm of data architecture ,data science and product management.Jaiswal Vinod:

Vinod Jaiswal is an experienced data engineer, excels in transforming raw data into valuable insights. With over 8 years in Databricks, he designs and implements data pipelines, optimizes workflows, and crafts scalable solutions for intricate data challenges. Collaborating seamlessly with diverse teams, Vinod empowers them with tools and expertise to leverage data effectively. His dedication to staying updated on the latest data engineering trends ensures cutting-edge, robust solutions. Apart from technical prowess, Vinod is a proficient educator. Through presentations and mentoring, he shares his expertise, enabling others to harness the power of data within the Databricks ecosystem.