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

🔥Professional Certificate Program in Data Engineering –
🔥IITK – Professional Certificate Course in Data Science (India Only) –
🔥Caltech Post Graduate Program in Data Science –

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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➡️ 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, masterclasses, IBM hackathons, and Ask Me Anything sessions.

✅ Key Features
– Professional Certificate Program Certificate and Alumni Association membership
– Exclusive Master Classes and Ask me Anything sessions by IBM
– 8X higher live interaction in live Data Engineering online classes by industry experts
– Capstone from 3 domains and 14+ Projects with Industry datasets from YouTube, Glassdoor, Facebook etc.
– Master Classes delivered by Purdue faculty and IBM experts
– Simplilearn’s JobAssist helps you get noticed by top hiring companies

✅ 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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