The Big Data Foundation certification is designed to equip candidates with a comprehensive understanding of big data. This 3-day course provides a solid foundation in the field, covering various aspects such as data sources, data mining, and popular tools used in big data processing.
Through practical, hands-on exercises, students will gain firsthand experience in utilizing two prominent technologies in big data processing: Hadoop and MongoDB. The course includes lab exercises where students will have the opportunity to install and work with these technologies.
In addition to theoretical knowledge, the course exposes students to real-life big data technologies, allowing them to work with actual datasets from major social media platforms. This practical approach enables students to obtain results from real data and gain valuable insights.
Upon completion of the course, students will possess a strong understanding of fundamental big data concepts and will have gained practical experience in working with a development environment comprising Hadoop and MongoDB. This practical knowledge serves as an excellent starting point for further exploration and advancement in the field of big data.
By earning the Big Data Foundation certification, individuals will have a recognized qualification that demonstrates their proficiency in big data fundamentals, making them well-prepared to contribute to big data projects and initiatives.
What Will You Learn?
- Upon completion of this course, students will have the ability to:
- 1. Explain Big Data: Understand the concept of Big Data, its origins, and its characteristics, including the volume, variety, and velocity of data.
- 2. Discuss Big Data processing tools: Identify and discuss the tools and technologies used for processing and analyzing Big Data, including frameworks and platforms such as Hadoop and MongoDB.
- 3. Explain data mining: Understand the concept of data mining and its application in extracting valuable insights and patterns from large datasets.
- 4. Discuss popular Big Data technologies: Discuss the features, benefits, and use cases of popular Big Data technologies, with a focus on Hadoop and MongoDB.
- 5. Discuss Big Data projects and key players: Gain an understanding of real-world Big Data projects and the key players involved in the industry, including organizations and communities driving innovation in the Big Data space.
- 6. Identify and obtain relevant datasets: Develop the skills to identify and acquire relevant datasets when analyzing and addressing business problems that require Big Data solutions.
- 7. Install and manage Big Data processing environments: Gain practical experience in installing and managing Big Data processing environments based on Hadoop or MongoDB at a departmental level, ensuring scalability and performance.
- By achieving these learning outcomes, students will be equipped with a solid understanding of Big Data concepts, technologies, and applications. They will have the knowledge and skills to discuss and evaluate Big Data solutions, identify appropriate datasets for analysis, and set up and manage Big Data processing environments. This course provides a strong foundation for individuals interested in working with Big Data and contributes to their overall competency in the field.