Published 12/2022
Created by MD Imran
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 65 Lectures ( 5h 37m ) | Size: 4.08 GB
Work with Big Data Tools, SQL Databases, AWS, ETL, Data Integration Tools & more to master real-world Big Data Projects
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
Requirements
It is also beneficial to have prior knowledge of SQL, programming basics, data pipelines and ETL concepts
Description
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 areA 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 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, Amazon 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
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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