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Data Engineering with Spark, Hadoop, and Snowflake
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Data Engineering with Spark, Hadoop, and Snowflake

This course is part of Data Engineering Foundations.

Course Cost

₹ 38,999

Beginner

Skill Level

4 Weeks

Self-paced lessons

This comprehensive course covers the fundamentals of modern data engineering platforms including Hadoop, Spark, and Snowflake. Students learn to optimize and manage data pipelines, execute analytics using Databricks, and implement machine learning workflows with MLflow. The curriculum includes hands-on experience with PySpark for data science, along with best practices in DataOps and DevOps methodologies. Through practical exercises and real-world scenarios, participants develop skills in building scalable, efficient data solutions.

Noah Gift

Noah Gift

Kennedy Behrman

Kennedy Behrman

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Noah Gift

Noah Gift

Kennedy Behrman

Kennedy Behrman

What you'll learn

  • Master essential data engineering platforms like Hadoop, Spark, and Snowflake

  • Execute advanced data analytics using Databricks and PySpark

  • Implement end-to-end machine learning workflows with MLflow

  • Optimize and manage scalable data pipelines

  • Apply DataOps and DevOps methodologies to data engineering projects

  • Build efficient ETL processes using modern tools

  • Develop expertise in big data processing and management

  • Integrate cloud-based solutions for data engineering workflows

Skills you'll gain

Apache Spark
Hadoop
Snowflake
PySpark
MLflow
DataOps
Databricks
Big Data
Data Engineering
ETL

This course includes:

PreRecorded video

Graded assignments, exams

Access on Mobile, Tablet, Desktop

Limited Access access

Shareable certificate

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Share your certificate with prospective employers and your professional network on LinkedIn.

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 4 modules in this course

This comprehensive data engineering course focuses on mastering essential platforms and tools for modern data processing. Beginning with foundational concepts in Hadoop and Spark, students progress through advanced topics including Snowflake data warehousing, Databricks analytics, and MLflow implementation. The curriculum emphasizes practical skills in building data pipelines, executing analytics, and managing machine learning workflows, while incorporating industry best practices in DataOps and project management.

Overview and Introduction to PySpark

Module 1

Snowflake

Module 2

Azure Databricks and MLFlow

Module 3

DataOps and Operations Methodologies

Module 4

Fee Structure

Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Data Engineering Foundations

Reviews

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Noah Gift
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4.8

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25

Reviews

1,46,301

Students

40

Courses

Noah Gift is the founder of Pragmatic AI Labs and serves as an Executive in Residence at Duke University, where he lectures in the Master of Interdisciplinary Data Science (MIDS) program. He specializes in designing and teaching graduate-level courses on machine learning, MLOps, artificial intelligence, and data science, while also consulting on machine learning and cloud architecture for students and faculty. A recognized expert in the field, Gift is a Python Software Foundation Fellow and an AWS Machine Learning Hero, holding multiple AWS certifications, including AWS Certified Solutions Architect and AWS Certified Machine Learning Specialist. He has authored several influential books, such as Practical MLOps, Python for DevOps, and Pragmatic AI, and has published over 100 technical articles across various platforms, including Forbes and O'Reilly. His extensive industry experience includes roles as CTO and Chief Data Scientist for notable companies like Disney Feature Animation, Sony Imageworks, and AT&T, contributing to major films like Avatar and Spider-Man 3. Gift's work has generated millions in revenue through product development on a global scale. He actively consults startups on machine learning and cloud architecture while leading initiatives to enhance data science education.
Kennedy Behrman
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4.7

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64

Reviews

49,197

Students

7

Courses

Kennedy Behrman is a Senior Data Engineer at Duke University, where he also serves as an instructor for several online courses focused on data engineering and visualization. With decades of experience in Python and data management across various fields, including film, computing, and machine learning, he has established himself as a leading figure in the industry. Behrman has developed and taught courses such as "Data Visualization with Python" and "Linux and Bash for Data Engineering," equipping students with essential skills for the evolving data landscape. His expertise extends to big data processing technologies, where he covers platforms like Apache Spark and Snowflake. In addition to his teaching roles, Behrman has authored educational materials that contribute to the understanding of data science principles. His commitment to fostering learning and innovation in data engineering makes him a valuable asset to both Duke University and the broader academic community.
Data Engineering with Spark, Hadoop, and Snowflake

Beginner

Skill Level

4 Weeks

Self-paced lessons

Course Cost

₹ 38,999

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.