Full Course - Spark / PySpark For Industry | Hindi
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What you'll learn
This course includes
- 19.5 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 32 lessons • 19.5 hours of video
Full Course - Spark / PySpark For Industry | Hindi
32 lessons
• 19.5 hours
Full Course - Spark / PySpark For Industry | Hindi
32 lessons
• 19.5 hours
- Why Data Engineers Use PySpark and Spark in Real Projects 16:37
- Spark Architecture Basics Every Data Engineering Beginner Must Know 12:07
- Spark RDD Deep Dive Architecture Every Data Engineer Must Know 47:20
- Spark App vs Job vs Stage vs Task EXPLAINED | Understand PySpark’s Execution Flow 33:41
- PySpark Client vs Cluster Deploy Mode 12:47
- Spark Architecture Deep Dive | Driver, Executors, Cluster Manager & Deployment Workflow Explained 39:24
- Spark Broadcast vs Accumulator EXPLAINED | Speed Up PySpark Jobs 43:39
- SparkSQL : RDD vs DataFrame vs Dataset Explained (2025 Edition) 40:58
- Spark Catalyst Optimizer Explained | Boost PySpark Performance & SQL Optimization 26:01
- SparkContext vs SparkSession: Master Multiple Sessions, Temp Views & Configs in PySpark 39:32
- Spark Step-by-Step Installation Guide for Spark/ PySpark 3, Java 8 & Python 3 20:33
- Pyspark Big Data Interview Winner : 300+ Exercises w Solutions and Git Repo link of exercises 07:08:48
- Industry Practices for Cache and Persist | Pyspark 55:26
- Spark Optimizations are USELESS Without Knowing this | Executor Memory Architecture 32:36
- Spark Adaptive Query Execution Session: How It Replans Your Queries at Runtime 45:30
- Spark Join Strategies: Broadcast vs Hash vs Sort and more 52:34
- [Hindi] Spark RDD, DAG, Spark Architecture | Part - I 10:44
- [Hindi] Spark RDD, DAG, Spark Architecture | Part II 10:03
- Hindi | Apache spark 2.3.0 Installation on Ubuntu 05:49
- [Hindi] WordCount Program in Spark 08:32
- Spark Practical - 2 | Transformations and actions | Hindi 19:19
- [HINDI] SparkSQL Introduction 15:28
- [Hindi] Creating DataFrames using RDD | Spark SQL 08:47
- [Hindi] Creating DataFrames by providing schema to RDDs | SparkSQL 06:43
- [Hindi] Creating DataFrames using CSV and Parquet files | SparkSQL 14:39
- [Hindi] Creating DataFrames from MySQL table (JDBC) | SparkSQL 04:46
- [Hindi] Executing SQL query on DataFrame , Global vs Temp views | SparkSQL 14:29
- [Hindi] Spark and Hive Integration | Execute query on hive table using spark shell | SparkSQL 07:46
- [Hindi] Eclipse IDE for spark applications using scala | SparkSubmit 22:32
- [Hindi] Enable Hive support | Eclipse | Spark-submit 25:30
- [HINDI] INTRODUCTION TO APACHE SPARK 13:06
- Master Spark Parallelism: Repartition & Coalesce Use Cases 42:53
