Big Data Explained In 18 Minutes | What Is Big Data? | Big Data For Beginners | Simplilearn

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As we know, Big data usage is expanding across industries. This video on Big data for beginners will get Big data explained in 18 mins. We will learn the Evolution of Big data; what is Big data?; Big data Workflow, Big data Applications, Types of Big data, 5V's of Big data, Benefits of Big data, Challenges in Big data, Career Opportunities in Big data, and Future of Big data.

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Big data is a collection of structured, semistructured, and unstructured data that businesses gather and may be mined for information for use in advanced analytics applications like machine learning and predictive modeling. Together with technologies that support big data analytics purposes, systems that process and manage big data have become a frequent part of data management infrastructures in businesses. This data has a diverse quantity of information. The world generates approx. forty exabytes of data in the form of text, music, phone calls, emails, etc. and could be collected from anywhere like social networks and websites. This data is also so massive that traditional database management systems can't manage it.

Topic covered in this session:-
00:00 Introduction
01:05 Agenda
01:43 Evolution of Big data
02:15 What is Big data?
02:48 Big data Workflow
03:49 Big data Applications
06:31 Types of Big data
07:33 5V's of Big data
10:02 Benefits of Big data
11:32 Challenges in Big data
13:14 Career Opportunities in Big data
15:20 Big data tools
17:00 Future of Big data
➡️ About Post Graduate Program In Data Engineering
This Data Engineering course is ideal for professionals, covering critical topics like the Hadoop framework, Data Processing using Spark, Data Pipelines with Kafka, Big Data on AWS, and Azure cloud infrastructures. This program is delivered via live sessions, industry projects, IBM hackathons, and Ask Me Anything sessions.
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✅ Skills Covered

Real-Time Data Processing
Data Pipelining
Big Data Analytics
Data Visualization
Provisioning data storage services
Apache Hadoop
Ingesting Streaming and Batch Data
Transforming Data
Implementing Security Requirements
Data Protection
Encryption Techniques
Data Governance and Compliance Controls

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