Google Data Engineer
Duration
5 Days
Level
Not Specified
Total Credits
N/A
SAQA ID
Pending
Delivery Mode
Online
Qualification Details
Introduction
Google Cloud Platform (GCP) natively powers some of the absolute most incredibly data-intensive, massive businesses on earth, and our elite Google Data Engineer programme is your definitive, high-level guide to completely managing that extreme power. This is an incredibly elite, highly technical track specifically designed for the top-tier engineers who deeply want to perfectly architect massive streaming and incredibly complex batch-processing pipelines. We focus entirely on the highly advanced, incredibly high-performance tools that effortlessly allow massive data to flow seamlessly at the absolute speed of light.
Participants will deeply master Google BigQuery for truly massive-scale global analytics, highly advanced Dataflow for instant streaming data, and massive Pub/Sub for incredibly complex asynchronous messaging. The highly intense curriculum is deeply rooted in 'Infinite Scalable Architecture,' strictly teaching you exactly how to flawlessly build massive data lakes and colossal warehouses that can easily handle hundreds of petabytes of sensitive information with absolute millisecond latency. You will deeply explore the extreme intricacies of Cloud Composer and massive Apache Airflow, totally ensuring your complex data pipelines are heavily automated and completely fault-tolerant.
Rules & Curriculum
Purpose of the Learning Programme
To perfectly produce absolute world-class data engineers strictly for the massive Google Cloud ecosystem. The primary purpose is to completely equip elite engineers with the highly specific, incredibly deep technical skills strictly required to flawlessly build extremely high-performance data platforms that effortlessly scale globally.
To completely master the incredibly complex art of 'Real-Time Data Orchestration.' We aim to firmly teach highly ambitious students exactly how to flawlessly build massive streaming pipelines that perfectly allow massive global organizations to instantly react to sudden market changes and complex user behavior in absolute milliseconds, providing a massive competitive advantage.
Curriculum Breakdown
Big Data Fundamentals
Hadoop and BigQuery intro.
Data Lakes & Warehouses
Storage design on GCP.
Data Pipelines
Using Dataflow and Pub/Sub.
Data Analytics
BigQuery analytics.
Machine Learning Ops
Deploying ML models.
Total Investment
Career Fields
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Data Engineer (Google Cloud)
Advance your career as a Data Engineer (Google Cloud) in the industry.
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Big Data Specialist
Advance your career as a Big Data Specialist in the industry.
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ETL Developer
Advance your career as a ETL Developer in the industry.
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Cloud Data Architect
Advance your career as a Cloud Data Architect in the industry.
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Data Pipeline Engineer
Advance your career as a Data Pipeline Engineer in the industry.
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Streaming Data Technician
Advance your career as a Streaming Data Technician in the industry.
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Data Platform Administrator
Advance your career as a Data Platform Administrator in the industry.
Practical Labs
Lab 1: BigQuery Dataset Setup
Create datasets, tables, and load sample data. Deliverable: BigQuery schema + load script.
Lab 2: SQL Query Optimisation
Write efficient queries using partitioning/clustering. Deliverable: Query plan analysis + optimised SQL.
Lab 3: Data Pipeline with Cloud Composer
Orchestrate ETL workflow using Airflow. Deliverable: DAG file + execution log.
Lab 4: Streaming Data Lab (Pub/Sub + Dataflow)
Process real-time data streams. Deliverable: Streaming pipeline config + sample output.