Wijaya Data Engineering with Google Cloud Platform

A guide to leveling up as a data engineer by building a scalable data platform with Google Cloud
2. Auflage 2024
ISBN: 978-1-83508-536-3
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 476 Seiten

No detailed description available for "Data Engineering with Google Cloud Platform".

Autoren/Hrsg.

Wijaya, Adi

Fachgebiete

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

Inhaltsverzeichnis

Table of Contents - Fundamentals of Data engineering with GCP
- Big Data Capabilities on GCP
- Building a data warehouse in BigQuery
- Build Orchestration for Batch Data Loading Using Cloud Composer
- Building a Data Lake using Dataproc
- Process Streaming Data with Datastream, Pub/Sub and Dataflow
- Visualizing Data for Making Data-Driven Decisions with Looker Studio
- Build machine learning solutions on GCP
- User and Project Management on GCP
- Data Governance in GCP
- Cost Strategy in GCP
- CI/CD on Google Cloud Platform for Data Engineers
- Boost your confidence as a Data Engineer

Über Autor(innen)

Wijaya Adi:
Adi Widjaja is a strategic cloud data engineer at Google. He holds a bachelor's degree in computer science from Binus University and co-founded DataLabs in Indonesia. Currently, he dedicates himself to big data and analytics and has spent a good chunk of his career helping global companies in different industries.