AWS, Cloud Computing and Big Data with Hadoop Tutorial - All in One Complete Course | SCALER

In this video, Shashank Mishra (Data Engineer, Amazon) will walk you through all the important concepts in AWS, Cloud Computing and Big Data. He will also be walking you through the Hadoop demo. Learn more about Scaler now: https://bit.ly/3qesPL8 What is cloud computing? Cloud computing is the on-demand availability of computer system resources, especially data storage (cloud storage) and computing power, without direct active management by the user. Large clouds often have functions distributed over multiple locations, each location being a data centre. Cloud computing relies on sharing of resources to achieve coherence and economies of scale, typically using a "pay-as-you-go" model which can help in reducing capital expenses but may also lead to unexpected operating expenses for unaware users. Some of the essential uses of cloud computing are IaaS and PaaS, Hybrid cloud and multi-cloud, test and development, big data analytics, cloud storage, data backup and more. What is AWS? Amazon Web Services, Inc. (AWS) is a subsidiary of Amazon providing on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered pay-as-you-go basis. These cloud computing web services provide a variety of basic abstract technical infrastructure and distributed computing building blocks and tools. One of these services is Amazon Elastic Compute Cloud (EC2), which allows users to have at their disposal a virtual cluster of computers, available all the time, through the Internet. What is Hadoop? Apache Hadoop is a collection of open-source software utilities that facilitates using a network of many computers to solve problems involving massive amounts of data and computation. It provides a software framework for distributed storage and processing of big data using the MapReduce programming model. Hadoop was originally designed for computer clusters built from commodity hardware, which is still in common use. It has since also found use on clusters of higher-end hardware. All the modules in Hadoop are designed with a fundamental assumption that hardware failures are common occurrences and should be automatically handled by the framework. The following topics are covered in this complete course: 0:00 - Introduction 0:05 - Cloud computing 47:40 - Cloud features 52:03 - AWS for beginners 2:00:45 - Big Data 4:41:52 - Hadoop Introduction 6:34:32 - Hadoop Demo ---------------------------------------- About Scaler -------------------------------------------------- We are a tech-focused upskilling and reskilling platform catering to tech enthusiasts in universities and working professionals. There are more Scaler graduates working at Amazon than all of the IITs combined! Learn more about Scaler: https://bit.ly/3qesPL8 📌 Follow us on Social and be a part of an amazing tech community📌 👉 Meet like-minded coder folks on Discord - https://discord.com/invite/ejFeksEtTq 👉 Tweets you cannot afford to miss out on - https://twitter.com/scaler_official 👉 Check out student success stories, expert opinions, and live classes on Linkedin - https://www.linkedin.com/school/scalerofficial 👉 Explore value packed reels, carousels and get access to exclusive updates on Instagram - https://www.instagram.com/scaler_official/ 📢 Be a part of our one of a kind telegram community: https://t.me/Scalercommunity 🔔 Hit that bell icon to get notified of all our new videos 🔔 If you liked this video, please don't forget to like and comment. Never miss out on our exclusive videos to help boost your coding career! Subscribe to Scaler now! https://www.youtube.com/Scaler?sub_confirmation=1 #bigdata #hadoop #bigdatatutorial #hadooptutorial