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0This intermediate professional certificate develops production-grade Big Data engineering capabilities across Hadoop, Spark, data pipelines, analytics tools, and cloud platforms. Designed for practitioners advancing toward data engineering roles, it builds comprehensive technical depth through hands-on, tool-focused learning. Graduates will design and operate enterprise-scale Big Data systems with professional engineering competence and platform versatility.
1. Distributed Computing Fundamentals
2. HDFS Architecture and Operations
3. MapReduce Programming Model
4. Apache Hive: SQL on Big Data
5. Apache Pig for Data Transformation
6. YARN Resource Management
7. Hadoop Ecosystem Components Overview
8. Cluster Configuration and Management
Knowledge & Skills You Will Learn
A verified certificate you can showcase on LinkedIn and other social platforms to highlight your achievement. View Sample
A downloadable PDF available in your student dashboard, accessible anytime for easy use and sharing. View Sample
A physical copy of your certificate delivered to your provided address. Printing and delivery charges apply separately. View Sample
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“This certificate deepened my understanding of real-time data systems and pipelines. It truly bridges the gap between analytics and engineering.
“This certificate helped me understand Hadoop and Spark practically. The real-time processing modules were extremely valuable.”
One time payment - One year access!
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