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This Big Data tutorial will help you understand how Big Data evolved over the years, what is Big Data, applications of Big Data, a case study on Big Data, 3 important challenges of Big Data and how Hadoop solved those challenges. The case study talks about Google File System (GFS), where you’ll learn how Google solved its problem of storing increasing user data in early 2000. We’ll also look at the history of Hadoop, its ecosystem and a brief introduction to HDFS which is a distributed file system designed to store large volumes of data and MapReduce which allows parallel processing of data. In the end, we’ll run through some basic HDFS commands and see how to perform wordcount using MapReduce.

Below topics are explained in this Big Data tutorial for beginners:
1. Evolution of Big Data  (00:01:01)
2. Why Big Data?  (00:05:52)
3. What is Big Data?  (00:10:28)
4. Challenges of Big Data  (00:27:23)
5. Hadoop as a solution  (00:31:01)
6. MapReduce algorithm  (01:25:53)
7. Demo on HDFS and MapReduce  (01:33:03)

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➡️ 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.
✅ Key Features
Post Graduate Program Certificate and Alumni Association membership
- Exclusive Master Classes and Ask me Anything sessions by IBM
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✅ Skills Covered

- Real-Time Data Processing
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- 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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5 سال پیش در تاریخ 1397/12/09 منتشر شده است.
15,825 بـار بازدید شده
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