What is Big Data | Introduction to Big Data Analytics | Big Data Analytics | Big Data Tutorial скачать в хорошем качестве

What is Big Data | Introduction to Big Data Analytics | Big Data Analytics | Big Data Tutorial

*What is Big Data | Introduction to Big Data Analytics | Big Data Analytics | Big Data Tutorial * 🔥Liverpool John Moore University MS In Data Science: https://www.upgrad.com/data-science-m... 🔥IIIT Bangalore Post Graduate Program in Data Science & AI: https://www.upgrad.com/data-science-p... 🔥Graduate Certificate Programme in Data Science & AI: https://www.upgrad.com/graduate-certi... 🔥Become a Skilled and Job-Ready Data Scientist: https://www.upgrad.com/bootcamps/job-... Start your journey by understanding what is Big Data and why it’s crucial in today’s data-driven world. Big Data refers to extremely large datasets that are complex and grow exponentially with time. Traditional data processing software cannot manage and process these datasets efficiently, leading to the need for specialized tools and techniques. Objectives : -What is Big Data -Vertical Scaling -Distributed Computing -Replication Factor -Cap Theorem Big Data -Big Data Definition What is Big Data? Gain insights into the characteristics of Big Data, often defined by the four Vs: Volume: The vast amounts of data generated every second. Velocity: The speed at which new data is generated and processed. Variety: The different types of data (structured, unstructured, and semi-structured). Veracity: The uncertainty or trustworthiness of the data. Vertical Scaling vs. Distributed Computing: Understand the two primary approaches to managing Big Data: Vertical Scaling: Enhancing the capacity of a single server to handle more data. Learn about its limitations and why it’s not always feasible for Big Data. Distributed Computing: Dividing the workload across multiple servers to process data simultaneously. This method is more scalable and efficient for handling Big Data. Replication Factor: Dive into the concept of replication factor in distributed computing. Learn how duplicating data across multiple nodes ensures data availability and fault tolerance, enhancing the reliability of Big Data systems. CAP Theorem in Big Data: Explore the CAP Theorem, a fundamental principle in distributed systems: Consistency: Ensuring every read receives the most recent write. Availability: Every request receives a response, without guarantee that it contains the most recent data. Partition Tolerance: The system continues to operate despite network partitions. By the end of this What is Big Data video, you will have a solid foundation in Big Data and be prepared to delve deeper into Big Data Analytics. You’ll understand the challenges and opportunities that come with managing and analyzing massive datasets, setting the stage for further exploration and learning. Join us and embark on your Big Data journey with upGrad! Topics Covered : 00:00 - Introduction What is Big Data 06:06 - Vertical Scaling 10:48 - Distributed Computing 13:27 - Problems with Distributed Computing 23:47 - Replication Factor 30:29 - Cap Theorem in Big Data 36:53 - Big Data Definition 39:40 - Big Data Express #WhatisBigData #IntroductiontoBigDataAnalytics #BigDataAnalytics #bigdatatutorialforbeginners #IntroductiontoBigData #bigdatatutorial #upgrad 🟢 Get industry-updated insights every week from domain experts - Check out our free masterclasses - https://www.upgrad.com/free-mastercla... 🟢 Wish to get started with your upskilling journey? Schedule a free counselling session - https://calendly.com/upgradadmissions... Get in touch with us (24x7): Toll-Free number: 1800 210 2020 WhatsApp Chat: +91 8454 888 222