Build Real World Big Data Projects

How to Build a Scalable Data Pipeline using various Components

Data Warehouse Design

Data Preparation,Cleaning, Data Transformation and Manipulation

Industry Project Ready projects

It is also beneficial to have prior knowledge of SQL, programming basics, data pipelines and ETL concepts

A real data eeering project usually involves multiple components. Setting up a data eeering project, while confog to best practices can be extremely -consuming. If you areA data analyst, student, scientist, or eeer looking to gain data eeering experience, but are unable to find a good starter project.1. Wanting to work on a data eeering project that simulates a real-life project.2. Looking for an end-to-end data eeering project.3. Looking for a good project to get data eeering experience for job interviews.Then this Course is for you. In this Course, you willLearn How to Set up data infrastructure such as Airflow, Redshift, Snowflake, etcLearn 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 PipelineSet up Apache Airflow, AWS EMR, AWS Redshift, AWS Spectrum, and AWS S3.Tech stack:  ➔Language: Python➔Package: PySpark➔Services: Docker, Kafka, Redshift,S3, IICS, DBT Many MoreRequirementsThis 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

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 Eeering and data Science concepts along the way, but that's not the focus. If you want to learn how to Build Data Eeering Projects , then this course is for you.

Data analysts and Data Eeer who are curious about Big Data Tools and how it relates to their work.

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https://anonymz.com/?https://www.udemy.com/course/build-real-world-big-data-projects/