Master Spark Programming and Azure Databricks

Pubblicato il: 03 aprile 2023
sul canale di: Learning Journal
10,226
49

📞 Fill up the below form to schedule a free counseling call with the course coordinator.
https://www.scholarnest.com/spark-pro...

Aspiring Data Engineers!
❓ What is the most popular data engineering skill for big data engineers?
SQL is the most critical skill.
❓ What is the next one?
🔔PySpark

🎺 Do you want to begin learning PySpark from scratch?
🥁 Do you already know PySpark? But want to master it for interviews or project development?

If yes, I have a curated learning path for big data engineers.
What does it cover?

Module 1 - Mastering Data Engineering with PySpark
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1. Understand Big Data and Data Engineering
2. Master Spark SQL from beginner to advanced
3. Master PySpark programming from beginner to advanced
4. Performance tuning and Optimization techniques
5. Capstone Project
6. CI/CD and DevOps

Module 2 - Stream Processing for Data Engineers
----------------------------------------------------------
1. Kafka for Data Engineers begineer to advanved
2. Spark Structured Streaming beginner to advanced

Module 3 - Mastering Databricks
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1. Azure Databricks Cloud from beginner to advanced
2. Delta Lake and optimization techniques
3. Architecting Data Lake and Lakehouse
4. Data Modeling Techniques for Data Engineering
5. Advanced Databricks Tools - Unity Catalog, Autoloader, DLT, Repos
6. Databricks CLI and Databricks Rest API for Automation
7. Azure DevOps for Data Engineers and CI/CD Pipeline
8. Capstone Project

Special features
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1. Total 48 hours of live instructor lead training
2. Access to live session recordings
3. Lifetime access to a total of 100+ hours of self-paced training
4. Doubt clarification sessions on weekends
5. LMS access and Q&A Forum
6. Mentorship and Career Guidance

📣 The next batch starts on 15th April 2023.
⏱ Course Duration - 4 Months

📞 Fill up the below form to schedule a free counseling call with the course coordinator.

https://www.scholarnest.com/spark-pro...

#dataengineering #bigdata #python #dataanalytics


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