Apache Spark for Data Engineering and ML
Master data engineering and machine learning with Apache Spark, covering structured streaming, ETL pipelines, and ML algorithms.
Master data engineering and machine learning with Apache Spark, covering structured streaming, ETL pipelines, and ML algorithms.
This comprehensive course provides hands-on experience with Apache Spark for data engineering and machine learning applications. Learn to implement structured streaming, work with GraphFrames, and develop ETL pipelines. The curriculum covers both supervised and unsupervised learning techniques, including classification, regression, and clustering using Spark ML. Students gain practical experience through hands-on labs and a real-world final project.
4.7
(28 ratings)
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Instructors:
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What you'll learn
Master Spark Structured Streaming for real-time data processing
Implement ETL processes using Spark for machine learning pipelines
Develop machine learning solutions using Spark ML framework
Apply supervised and unsupervised learning techniques with Spark
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
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There are 3 modules in this course
This course provides advanced training in using Apache Spark for data engineering and machine learning tasks. Students learn to work with Spark Structured Streaming for real-time data processing, implement ETL workflows for ML pipelines, and utilize Spark ML for various machine learning tasks. The curriculum covers essential concepts in graph theory, supervised and unsupervised learning, and practical implementation of clustering algorithms. Through hands-on labs and real-world projects, participants gain experience in applying Spark to solve complex data engineering and machine learning challenges.
Spark for Data Engineering
Module 1
Spark ML for Machine Learning
Module 2
Final Project
Module 3
Fee Structure
Instructors
Data Engineering and Technology Education Expert
Ramesh Sannareddy serves as a freelance technology educator and content developer, bringing over two and a half decades of experience in Information Technology Infrastructure Management, Database Administration, and Information Integration. After earning his Bachelor's Degree in Information Systems from Birla Institute of Technology, Pilani, he built an impressive career working with leading technology companies including Intergraph, Genpact, HCL, and Microsoft. Currently focused on his passion for teaching, he specializes in developing and delivering courses in Data Science, Machine Learning, Programming, and Databases. His educational impact is evidenced through his extensive course portfolio, which includes specialized programs in Data Engineering, Data Warehousing, Linux Commands, Machine Learning with Apache Spark, and Python Programming. His teaching reaches over 11,800 learners globally, maintaining a strong 4.5 rating for his educational content
19 Courses
A Distinguished AI Engineer Advancing Open Source Machine Learning
Karthik Muthuraman serves as a Data Scientist and Developer Advocate at IBM's Center for Open Source Data & AI Technologies (CODAIT), where he focuses on democratizing AI through open-source technologies. After earning his Master's degree in Electrical and Computer Engineering from the University of Michigan, Ann Arbor, with a focus on machine learning and computer vision, he has established himself as an expert in deep learning and AI systems. His work at CODAIT includes developing open-source deep learning models, contributing to frameworks like TensorFlow, and creating innovative applications such as automatic image cropping and age estimation systems
Testimonials
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4.7 course rating
28 ratings
Frequently asked questions
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