Master Data Engineering using GCP Data Analytics

🌟 Master Data Engineering using GCP Data Analytics 🌟

Welcome to our comprehensive course that will elevate your skills in data engineering within the Google Cloud Platform (GCP) ecosystem. Led by industry expert Durga Viswanatha Raju Gadiraju, this course is designed to take you from the basics of setting up your environment to mastering complex data pipelines using Google Cloud Storage as a Data Lake, BigQuery for Data Warehouse, and GCP Dataproc & Databricks for big data analytics. 🖥️💻

Course Overview:

In this course, you will embark on an exciting journey to learn the ins and outs of data engineering with a focus on GCP's robust data analytics stack. We'll cover everything from initial setup to building sophisticated ELT (Extract, Load, Transform) pipelines. Here's what you can expect:

Setting Up Your Environment:

• Environment Setup: Learn how to prepare your development environment using VS Code on both Windows and Mac systems for a seamless learning experience. 🛠️✨

Google Cloud Account & Billing:

• Google Cloud Account: Step-by-step guidance on signing up for a Google Cloud account, including a review of billing details and how to claim your USD 300 credit to get started without any financial hurdles. 💰📈

Utilizing Google Cloud Storage:

• Google Cloud Storage: Master the use of Google Cloud Storage as a Data Lake by understanding file management, integration with Pandas, and command-line operations using Python. 🗂️🧠

Database Management & Application Development:

• Cloud SQL & Secretmanager Integration: Set up a Postgresql Database Server using Cloud SQL, manage application databases and user credentials securely using GCP Secretmanager. 🔐📊

BigQuery as a Data Warehouse:

• BigQuery Insights: Explore the powerful features of BigQuery as a Data Warehouse and learn how to integrate it with Python and Pandas for reporting and dashboarding. 📊📈

Big Data Processing with GCP Dataproc:

• GCP Dataproc Setup: Get hands-on experience in setting up your own GCP Dataproc cluster, learning how to use single node clusters for development and establishing a VS Code remote connection. 🌩️🛠️

Building ELT Data Pipelines:

• Dataproc Workflow Templates & Spark SQL: Learn how to build end-to-end ELT data pipelines using Dataproc Workflow Templates, submit Dataproc Jobs and Workflows, and utilize Spark SQL in your processes. 🔁🛠️

Introduction to Databricks on GCP:

• Databricks Onboarding: Understand how to get started with Databricks on GCP and start building end-to-end ELT data pipelines using Databricks Jobs and Workflows. 🗝️🚀

Integrating BigQuery & Dataproc:

• Complex Data Pipeline Integration: Combine your knowledge of BigQuery and Dataproc to build complex end-to-end ELT data pipelines, including using Spark with the BigQuery connector within your pipeline. 🤝🔗

Application Development Lifecycle & Troubleshooting:

• Spark App Development Lifecycle: Revise the application development lifecycle in Spark, troubleshoot issues using relevant web interfaces like YARN Timeline Server and Spark UI, ensuring you're well-equipped to handle any challenges that arise. 🛠️🧐

By the end of this course, you will be a proficient data engineer capable of leveraging GCP services to build scalable, robust, and secure data pipelines tailored for real-world applications. Ready to transform your data engineering skills? Enroll now and embark on this rewarding learning journey with us! 🚀📚

Join Us & Become a Data Engineering Expert!

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