Wijaya Data Engineering with Google Cloud Platform

A practical guide to operationalizing scalable data analytics systems on GCP
1. Auflage 2022
ISBN: 978-1-80056-506-7
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 440 Seiten

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

Autoren/Hrsg.

Wijaya, Adi

Fachgebiete

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

Inhaltsverzeichnis

Table of Contents - Fundamentals of Data Engineering
- Big Data Capabilities on GCP
- Building a Data Warehouse in BigQuery
- Building Orchestration for Batch Data Loading Using Cloud Composer
- Building a Data Lake Using Dataproc
- Processing Streaming Data with Pub/Sub and Dataflow
- Visualizing Data for Making Data-Driven Decisions with Data Studio
- Building Machine Learning Solutions on Google Cloud Platform
- User and Project Management in GCP
- Cost Strategy in GCP
- CI/CD on Google Cloud Platform for Data Engineers
- Boosting 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.