Big Data Analytics | What Is Big Data Analytics? | Big Data Analytics For Beginners | Simplilearn 

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In this Big Data Analytics video, you will see why Big Data analytics is required, what is Big Data analytics, the lifecycle of Big Data analytics, types of Big Data analytics, tools used in Big Data analytics and few Big Data application domains. Also, we'll see a use case on how Spotify uses Big Data analytics. Big Data analytics is a process to extract meaningful insights from Big Data such as hidden patterns, unknown correlations, market trends, and customer preferences. One of the essential benefits of Big Data analytics is used for product development and innovations. Now, let us get started and understand Big Data Analytics in detail.
Below are explained in this Big Data analytics tutorial:
1. Why Big Data analytics? (00:34)
2. What is Big Data analytics? (02:27)
3. Lifecycle of Big Data analytics (10:14)
4. Types of Big Data analytics (12:46)
5. Tools used in Big Data analytics (21:08)
6. Big Data application domains (23:54)
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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, masterclasses, IBM hackathons, and Ask Me Anything sessions.
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