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What is Data Warehouse for Data Engineer
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Classroom Contents
Data Engineering Roadmap and Full Course with Python and SQL for 2024
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- 1 Introduction
- 2 Introduction to Data Engineering
- 3 Data Engineer vs Data Scientist
- 4 Important Skills for Data Engineering
- 5 Data Engineering Lifecycle
- 6 Data Structures in Python: Tuple, List, Dictionary & Set
- 7 Flow Control Statements
- 8 Inheritance in Python
- 9 Python Numpy
- 10 Python Pandas
- 11 Data Visualization with Python: Matplotlib
- 12 Data Visualization with Python: SeaBorn
- 13 Python Project on IPL Data
- 14 SQL - Introduction and Installation
- 15 Data Types in SQL
- 16 Hands-on based on HR Database Management System
- 17 Introduction to Big Data
- 18 ETL Extract-Transform-Load
- 19 Introduction to Hadoop
- 20 Distributed Computing
- 21 Hadoop Architecture
- 22 HDFS File Storage
- 23 Introduction to Oozie and HDFS Processing
- 24 Hadoop Clusters
- 25 Hadoop Ecosystem
- 26 Introduction to Spark
- 27 Introduction to Real-Time Analytics
- 28 Difference between Batch & Real-Time Systems
- 29 Input Output Connectors
- 30 Twitter Streaming in Real-Time - Demo
- 31 What is Data Warehouse for Data Engineer
- 32 Need of Data Warehouse
- 33 Top Data Warehouse Tools
- 34 What is Cloud Computing?
- 35 World before Cloud Computing
- 36 World before Cloud Computing
- 37 Need For Cloud Computing
- 38 Working of Cloud Computing
- 39 Cloud Providers
- 40 Basics of AWS
- 41 AWS CloudFront
- 42 Demo: AWS CloudFront
- 43 AWS HoneyCode
- 44 AWS Amplify
- 45 Demo: AWS Honeycode & AWS Amplify
- 46 Summary
