Day 23: Apache Spark from Scratch (Part 12) | Big Data Training | The Basic Teacher
Автор: The Basic Teacher
Загружено: 2025-02-15
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Welcome to Day 23 of our Big Data & Data Engineering Training! In this session, we dive into Apache Spark, one of the most powerful frameworks for big data processing.
🔥 What You'll Learn in This Video:
✅ Introduction to Apache Spark and its architecture
✅ Spark vs. Hadoop – Why Spark is faster
✅ Spark architecture in detail
✅ Understanding RDDs, DataFrames, and Datasets
✅ RDDs, DataFrames, and Datasets
✅ Transformations in Spark
✅ Narrow Transformations in Spark
✅ Wide Transformations in Spark
✅ Narrow and Wide Transformations in Spark
✅ Hands-on Exercise: Working with RDDs, DataFrames, and Datasets.
✅ Coalesce and Repartition in Spark
✅ Cache and Persist in Spark
✅ PySpark hands-on exercise
✅ Basic Spark transformations and actions
✅ Apache Spark live session
✅ Hands-on exercises
✅ Apache Spark end-to-end project
✅ Read JSON file in Spark
✅ UDF in Spark
✅ Map and Array Data Types in Spark
✅ Functions in Spark
✅ Complex use case in Spark
📌 This is Part 12, where we cover the fundamentals, architecture, RDD, DataFrame and Dataset. Stay tuned for the next part to explore advanced Spark operations!
🎯 Who Should Watch?
🔹 Aspiring Data Engineers & Big Data Enthusiasts
🔹 Software Developers looking to expand into Data Engineering
🔹 Anyone interested in Spark for large-scale data processing
📌 Connect with me to grab your spot in the live session for the upcoming batch!
📱 Connect on WhatsApp: +91 83539 60906
📩 Connect via email: [email protected]
📢 Subscribe to The Basic Teacher and turn on 🔔 notifications to stay updated with upcoming sessions!
💬 Have questions? Drop them in the comments section, and I'll be happy to answer. 😊
#ApacheSpark #BigData #DataEngineering #SparkTutorial #TheBasicTeacher
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