Krishna

Trainer | YouTuber 
YT - 3k Fam | LinkedIn - 5k Fam | Insta -100k Fam |  

Course available for 5 years after purchase

Course Description: Data Validation Automation Using Spark and Pandas

Unlock the power of ETL (Extract, Transform, Load) automation with our comprehensive course that guides you through building scalable, efficient automation frameworks. Whether you’re working with databases or cloud environments, this course covers a wide range of topics, from foundational concepts to advanced implementation strategies. You'll gain hands-on experience with popular databases like MySQL and PostgreSQL, cloud platforms such as AWS, Azure, and GCP, as well as essential tools like Pandas, Spark, and Airflow.

Course Outline:
Chapter 1: Introduction to Data Validation Automation
Discover the importance of data validation and how it fits into the broader context of data engineering and analytics.

Chapter 2: Setting Up the Environment
Learn how to configure your development environment using popular tools like Python, PyCharm, Visual Studio Code, Jupyter Notebook, and Google Colab.

Chapter 3: Reading Data in Pandas and Spark
Master the fundamentals of data ingestion using Pandas and Spark, setting the stage for effective validation.

Chapter 4: Pandas SQL Operations
Dive into SQL operations within Pandas, enhancing your ability to manipulate and validate data.

Chapter 5: Spark SQL Operations
Explore Spark SQL to handle large datasets efficiently, leveraging its powerful capabilities for validation.

Chapter 6: ETL Validations Using SQL
Implement robust validation techniques within your ETL workflows, ensuring high-quality data pipelines.

Chapter 7: Pandas Advanced SQL Operations
Take your Pandas skills to the next level with advanced SQL operations, enabling complex data validation scenarios.

Chapter 8: Spark Advanced DSL Operations
Learn advanced Domain Specific Language (DSL) operations in Spark for more sophisticated data manipulation and validation.

Chapter 9: ETL Validations Using DSL/Functions Operations
Utilize DSL and function operations for in-depth validation processes across different data sources.

Chapter 10: First ETL Automation Framework
Get started by building your very first ETL automation framework. Integrate key concepts and streamline your workflows, focusing on file-to-file validations automation.

Chapter 11: ETL Automation Framework for MySQL Tables
Learn to design ETL frameworks specifically for MySQL databases, leveraging Pandas & Spark to automate and optimize data validation processes.

Chapter 12: ETL Automation Framework for PostgreSQL Tables
Expand your knowledge to PostgreSQL databases, mastering robust validation and efficient ETL processes using Pandas & Spark for seamless integration.

Chapter 13: Project with MySQL, PostgreSQL, and Various File Formats (CSV, JSON, Parquet, Excel)
Dive deeper into practical application with a project that combines MySQL, PostgreSQL, and multiple file formats such as CSV, JSON, Parquet, and Excel. Strengthen your skills by automating data extraction, transformation, and loading across these platforms.

Chapter 14: Full End-to-End ETL Project with Multiple Files (CSV, JSON, Parquet, Excel) and MySQL with Airflow
Implement a complete ETL pipeline using MySQL, incorporating data from CSV, JSON, Parquet, and Excel files. Learn to manage the automation process with Airflow, optimizing workflow execution.

Chapter 15: Full End-to-End ETL Project with Multiple Files (CSV, JSON, Parquet, Excel) and PostgreSQL with Airflow
Build an end-to-end ETL project using PostgreSQL, working with diverse file types. Automate the process using Airflow to ensure efficient scheduling and execution of data workflows.

Chapter 16: Building Multiple Automation Frameworks for Real-World Scenarios
Take your skills to the next level by creating multiple automation frameworks tailored to real-world scenarios. Utilize the projects from previous chapters to develop flexible and robust solutions that work seamlessly in varied environments.

Chapter 17: ETL Automation Framework for AWS Cloud
Learn how to implement ETL automation within the AWS ecosystem. Utilize AWS services like Glue, Redshift, and S3 to build scalable frameworks and optimize your cloud-based workflows.

Chapter 18: ETL Automation Framework for Azure Cloud
Explore ETL automation on Microsoft Azure, taking full advantage of Azure's data solutions, including Blob Storage, Azure Data Factory (ADF), and Azure SQL for optimized data processes.

Chapter 19: ETL Automation Framework for Google Cloud Platform (GCP)
Gain hands-on experience with Google Cloud Platform (GCP), where you'll design and deploy ETL automation frameworks utilizing cloud storage, BigQuery, Dataflow, and other key services.

Chapter 20: ETL Automation Framework for Popular Databases & Cloud Services
Conclude your journey by mastering frameworks for a range of databases and cloud platforms. Learn to automate processes for leading tools like Databricks, Snowflake, and more, ensuring versatility in your ETL skillset.



ETL/Big Data - Data Validation Automation Using Spark and Pandas

Techie Krishna Kayaking

Maharashtra

Hey! I’m learning with Techie Krishna Kayaking and you can too. Here’s a course you might like: ETL/Big Data - Data Validation Automation Using Spark and Pandas by Krishna
    https://www.techiekrishnakayaking.com/courses/560977?utm_source=whatsapp&utm_medium=social&utm_campaign=web-course-share

Hey! I’m learning with Techie Krishna Kayaking and you can too. Here’s a course you might like: ETL/Big Data - Data Validation Automation Using Spark and Pandas by Krishna
    https://www.techiekrishnakayaking.com/courses/560977?utm_source=facebook&utm_medium=social-fb&utm_campaign=web-course-share

Hey! I’m learning with Techie Krishna Kayaking and you can too. Here’s a course you might like: ETL/Big Data - Data Validation Automation Using Spark and Pandas by Krishna
    https://www.techiekrishnakayaking.com/courses/560977?utm_source=telegram&utm_medium=social&utm_campaign=web-course-share

Hey! I’m learning with Techie Krishna Kayaking and you can too. Here’s a course you might like: ETL/Big Data - Data Validation Automation Using Spark and Pandas by Krishna
    https://www.techiekrishnakayaking.com/courses/560977?utm_source=linkedin&utm_medium=social-link&utm_campaign=web-course-share

Hey! I’m learning with Techie Krishna Kayaking and you can too. Here’s a course you might like: ETL/Big Data - Data Validation Automation Using Spark and Pandas by Krishna
    https://www.techiekrishnakayaking.com/courses/560977?utm_source=copy-link&utm_medium=social&utm_campaign=web-course-share

You have Successfully Published ETL&#x2F;Big Data - Data Validation Automation Using Spark and Pandas