Chadha Data Engineering with Databricks Cookbook

Build effective data and AI solutions using Apache Spark, Databricks, and Delta Lake
1. Auflage 2024
ISBN: 978-1-83763-206-0
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 438 Seiten

No detailed description available for "Data Engineering with Databricks Cookbook".

Autoren/Hrsg.

Chadha, Pulkit

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Warehouse
• 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

Inhaltsverzeichnis

Table of Contents - Data Ingestion and Data Extraction with Apache Spark
- Data Transformation and Data Manipulation with Apache Spark
- Data Management with Delta Lake
- Ingesting Streaming Data
- Processing Streaming Data
- Performance Tuning with Apache Spark
- Performance Tuning in Delta Lake
- Orchestration and Scheduling Data Pipeline with Databricks Workflows
- Building Data Pipelines with Delta Live Tables
- Data Governance with Unity Catalog
- Implementing DataOps and DevOps on Databricks

Über Autor(innen)

Chadha Pulkit:
Pulkit Chadha is a Sr. Solutions Architect at Databricks. He has over 12 years of experience working in Data Engineering. With his expertise in building and optimizing data pipelines using various tools and technologies Pulkit has worked with enterprises in various industries, including healthcare, Media and Entertainment, Hi-Tech, and Manufacturing providing data engineering solutions to meet enterprises' unique business needs. His work history includes the likes of Dell Services, Adobe, and Databricks. Pulkit holds a Masters's Degree in Management Information Systems from Eller College of Management at the University Of Arizona and has several cloud certifications in data analytics.