GCP Cloud Data Engineer Intensvie Training (Daily 8 Hrs)

About QT:
Quality Thought provides high-quality training on the latest and most advanced technology areas, helping students with their IT career planning and Quality Thought earned the "Most promising Software Training Institute” award in September 2022 from Times Business.

Course Details:
Course Name: GCP Cloud Data Engineer
Type of Course: Job - Oriented Intensive Program
Course Duration: 45 - 60 Days
Course Faculty: Sathish and Team

Google Cloud Platform (GCP) Cloud Data Engineer:

As a Cloud Data Engineer with GCP we covered below topics:

1.    SQL
2.    Python Scripting
3.    Unix Commands
4.    GCP Components

• Storage - GCS (Store any amount of data. Retrieve it as often as you’d like)
• DWH - Big Query (Big Query is a server less, cost-effective and multi cloud data warehouse designed to help you turn big data into valuable business insights)
• Automation - Airflow (airflow provides many plug-and-play operators that are ready to execute your tasks on Google Cloud Platform, Amazon Web Services, Microsoft Azure and many other)
• Processing - Data flow (shows you how to deploy your batch and streaming data processing pipelines using Data flow, including directions for using service features.)
• Processing - PySpark (Python API for Apache Spark, an open source, distributed computing framework and set of libraries for real-time, large-scale data processing)
• Processing - DataProc (managed Spark and Hadoop service that lets you take advantage of open-source data tools for batch processing, querying, streaming, and machine learning)
• Streaming Data Collection - Kafka (Kafka is a distributed data store optimized for Collecting and processing streaming data in real-time)

5.    Agile Process
6.    GIT Process
7.    Overview of AWS and Azure
8.    Mock interviews on Every Weekend
9.    Individual Performance Review
10.    Overview of AWS and Azure