BIG Data & Data Analytics
Introduction to Big Data
Learn the basics of big data
What is Introduction to Big Data Training about?
The Introduction to Big Data Training is designed for professionals and beginners looking to gain a foundational understanding of the Big Data ecosystem. This course provides insights into why Big Data has emerged, how it is transforming industries, and the key technologies used to process large-scale data.
Participants will explore Big Data applications, the core challenges of handling vast datasets, and the architectural components of Big Data frameworks. This training also introduces Hadoop, one of the most widely used Big Data frameworks, and explains its role in simplifying large-scale data analysis.
By the end of this training, you will have a clear understanding of Big Data fundamentals, its real-world applications, and how it can be leveraged for business intelligence, data-driven decision-making, and advanced analytics.
Participants will explore Big Data applications, the core challenges of handling vast datasets, and the architectural components of Big Data frameworks. This training also introduces Hadoop, one of the most widely used Big Data frameworks, and explains its role in simplifying large-scale data analysis.
By the end of this training, you will have a clear understanding of Big Data fundamentals, its real-world applications, and how it can be leveraged for business intelligence, data-driven decision-making, and advanced analytics.
What are the objectives of Introduction to Big Data Training ?
By the end of this training, you will be able to:
- Describe the Big Data landscape, including examples of real-world big data problems, including the three key sources of Big Data: people, organisations, and sensors.
- Explain the Vs of Big Data (volume, velocity, variety, veracity, valence, and value) and why each impacts data collection, monitoring, storage, analysis, and reporting.
- Get value from Big Data by using a 5-step process to structure your analysis.
- Identify what are and what are not big data problems and be able to recast big data problems as data science questions.
- Explain the architectural components and programming models for scalable extensive data analysis.
Who should take Introduction to Big Data Training?
This training is ideal for anyone looking to enter the world of Big Data analytics, data science, or data-driven decision-making, including:
- Data Analyst
- SQL Aspiring developers
- SQL Developers
- Database Administrator and Database Developers
- IT Professionals
- Aspiring Data Analyst
- Aspiring Data Warehouse Professionals
Prerequisites for Introduction to Big Data Training
- Big Data Fundamentals
- Programming for Data Science
- Computational Thinking
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