Srish Technologies

srish technologies

GCP Data Engineering Training in Hyderabad

Join the Best GCP Data Engineering Course in Hyderabad with Real-Time Projects & Placement Support. Build Modern Cloud Data Pipelines on Google Cloud and Become a Job-Ready GCP Data Engineer. Master Google Cloud Data Engineering through hands-on projects, industry-oriented curriculum, expert mentorship, and personalized placement support. Learn from experienced professionals using real-world datasets and enterprise scenarios.

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GCP Data Engineer Course Highlights

GCP Data Engineer Course Curriculum

  1. Understanding Data
  2. Understanding Data Engineering role
  3. Cloud Computing
  4. OLTP vs. OLAP
  5. ETL to ELT
  6. Data Base vs. Data store vs. Data Lake vs. Data
  7. Warehouse (DWH) Vs. NoSQL Database
  8. Big Data Fundamentals
  9. Big Data Architecture
  10. Hadoop Fundamentals (HDFS, MR)
  11. Data Warehouse (DWH) Concepts
  12. Data Ingestion/ Data Pipelines
  13. RDBMS (SQL)
  14. Python Basics (Scripting)
  15. UNIX Commands
  16. NoSQL - Cassandra
  17. Data Bricks with PySpark
  1. Google Cloud Platform (GCP)
      • Google Cloud Platform
      • Understanding GCP components
      • Compute Engine
      • GCS – Google
      • Cloud Storage
      • Cloud Functions
  2. Batch and streaming data
  3. Cloud Dataflow
    Cloud Dataproc /Hadoop Ecosystem
    Pub/Sub
    Apache Kafka
  4. Data Publishing with DW
    BigQuery
  5. Job Automation and Orchestration
    Cloud Composer
    AirFlow

Understand Azure Data Factory
Understand Azure Data Factory components
Azure Delta Lake
S3, Lambda Functions
Redshift overview

Agile Process (JIRA, Scrum, Sprint)
GIT process – Code/Scripts
Confluence - Documents
Requirements Understanding
Go Live/Prod deployment process
End to End Use cases
Mock Interviews
Resume & Interview Preparation

Basic SQL knowledge
Any Basic programing Knowledge (Java/Python/C)

Database Engineers
BigData/Hadoop Engineers
ETL/Data Warehouse Engineers
Any Application Programmers
Test Engineers
Data Analysts

  1. Running Notes
  2. Architecture Diagrams
  3. Documentations
  4. Screenshots
  5. Recorded Videos
  6. Scenario Based Notes
  7. Interview Preparation Notes
  8. Fresher and Experience Reference Resume
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COURSE CURRICULLUM

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