Build Real World Big Data Projects 2023
Learn how to build a scalable data pipeline using various components like Airflow, Redshift, and Snowflake. Gain data engineering experience for job interviews and enhance your skills in Python and SQL. Perfect for data analysts and engineers interested in big data tools.
What you’ll learn
- How to Build a Scalable Data Pipeline using various Components
- Data Warehouse Design
- Data Preparation,Cleaning, Data Transformation and Manipulation
- Industry Project Ready projects
A real data engineering project usually involves multiple components. Setting up a data engineering project, while conforming to best practices can be extremely time-consuming. If you are
A data analyst, student, scientist, or engineer looking to gain data engineering experience, but are unable to find a good starter project.
1. Wanting to work on a data engineering project that simulates a real-life project.
2. Looking for an end-to-end data engineering project.
3. Looking for a good project to get data engineering experience for job interviews.
Then this Course is for you. In this Course, you will
Learn How to Set up data infrastructure such as Airflow, Redshift, Snowflake, etc
Learn data pipeline best practices.
Learn how to spot failure points in data pipelines and build systems resistant to failures.
Learn how to design and build a data pipeline from business requirements.
Learn How to Build End to End ETL Pipeline
Set up Apache Airflow, AWS EMR, AWS Redshift, AWS Spectrum, and AWS S3.
Tech stack:
➔Language: Python
➔Package: PySpark
➔Services: Docker, Kafka, Amazon Redshift,S3, IICS, DBT Many More
Requirements
This course presume that students have prior knowledge of AWS or its Big Data services.
Having a fair understanding of Python and SQL would help but it is not mandatory.
Every Month New Projects will be added
Who this course is for:
- People with some software background who want to learn the New technology in big data analysis will want to check this out. This course focuses on Various Big data Tools; we introduce some Data Engineering and data Science concepts along the way, but that’s not the focus. If you want to learn how to Build Data Engineering Projects , then this course is for you.
- Data analysts and Data Engineer who are curious about Big Data Tools and how it relates to their work.
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