Master Data Engineering: E-Commerce Project with SQL, NoSQL, and Azure
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In this riveting episode of Krish Naik's data engineering extravaganza, viewers are plunged headfirst into an adrenaline-fueled journey through the intricate world of end-to-end data projects. With the pedal to the metal, Krish unveils a turbocharged e-commerce dataset spread across multiple files, setting the stage for a high-octane adventure. Buckle up as he revs up the engines to create SQL and NoSQL databases from scratch, pushing the boundaries of data engineering prowess.
Like a seasoned racing driver, Krish challenges viewers to push their limits and dive deep into the project, promising a thrilling ride through real-world scenarios and essential data engineering tools. With a roar of the engine, he emphasizes the need for grit and determination to conquer this project and emerge as true data engineering champions. As the project unfolds, viewers are promised a front-row seat to the fast-paced world of data engineering, where every twist and turn brings new insights and challenges.
Krish Naik's enthusiasm is contagious as he ignites a fire in viewers to tackle the project head-on, urging them to ask questions and seek guidance when navigating rough terrain. With the grit of a seasoned off-road racer, he guides viewers through the project's prerequisites, emphasizing the importance of motivation, a trusty laptop, and a keen eye for Python and SQL. As the project gains momentum, Krish Naik's guidance steers viewers towards an Azure free account, assuring them of a smooth ride with minimal charges and maximum thrills.
Hold on tight as Krish Naik unveils the architectural blueprint of the project, painting a vivid picture of data sources, ingestion processes, and cutting-edge technologies like Azure Data Factory and Azure Databricks. With the roar of the crowd in the background, he underscores the significance of understanding the architectural diagram, a roadmap to success in the fast-paced world of data engineering. Krish Naik's passion for data engineering is palpable, propelling viewers into a high-speed chase towards mastery in the dynamic realm of data projects.
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
Watch End To End Big Data Engineering Project With Azure| Big Data Project From Scratch- Part 1 on Youtube
Viewer Reactions for End To End Big Data Engineering Project With Azure| Big Data Project From Scratch- Part 1
Viewers are interested in the second part of the video focusing on Databricks and Synapse
Some viewers are requesting a step-by-step content list to track progress in the video
Suggestions to include DevOps concepts like infrastructure provisioning, logging, monitoring, Kubernetes, and Docker in the projects
Questions about prerequisites for the course and whether studying data engineering beforehand is necessary
Inquiries about whether the course is free on YouTube or a paid course
Request for projects involving Hadoop
Query from a 2nd-year student on whether to enroll in the course or wait for an upcoming Udemy Big Data course
Feedback to focus more on key content explanation and avoid going into excessive detail
Concerns about difficulties in obtaining a free Azure account
A comment suggesting that ETL may not be worth the time due to advancements in AI technology.
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