🔥Professional Certificate Program in Data Engineering - [ Ссылка ]
🔥IITK - Professional Certificate Course in Data Science (India Only) - [ Ссылка ]
🔥Caltech Post Graduate Program in Data Science - [ Ссылка ]
This Spark Tutorial For Beginners will give an overview on the history of spark, what is spark, Batch vs real-time processing, Limitations of MapReduce in Hadoop, Introduction to Spark, Components of Spark Project and a comparison between Hadoop ecosystem and Spark. Let's get started with this Big Data Spark Tutorial!
This Apache Spark Tutorial video will explain:
1. History of Spark - 00:00
2. Introduction to Spark - 04:02
3. Spark Components - 05:00
4. Spark Advantages - 12:31
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To gain in-depth knowledge of Big Data and Hadoop, check our Big Data Hadoop and Spark Developer Certification Training Course: [ Ссылка ]
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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
- 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.
- 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
👉 Learn More At: [ Ссылка ]
🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688
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