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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
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Python Pandas
11
Data Visualization with Python: Matplotlib
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Data Visualization with Python: SeaBorn
13
Python Project on IPL Data
14
SQL - Introduction and Installation
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Data Types in SQL
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Hands-on based on HR Database Management System
17
Introduction to Big Data
18
ETL Extract-Transform-Load
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Introduction to Hadoop
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Distributed Computing
21
Hadoop Architecture
22
HDFS File Storage
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Introduction to Oozie and HDFS Processing
24
Hadoop Clusters
25
Hadoop Ecosystem
26
Introduction to Spark
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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
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World before Cloud Computing
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Need For Cloud Computing
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Working of Cloud Computing
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Cloud Providers
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Basics of AWS
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AWS CloudFront
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Demo: AWS CloudFront
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AWS HoneyCode
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AWS Amplify
45
Demo: AWS Honeycode & AWS Amplify
46
Summary
Description:
Embark on a comprehensive 10.5-hour video course covering the essentials of Data Engineering with Python and SQL for 2024. Explore the distinctions between Data Engineers and Data Scientists, delve into the Data Engineering Lifecycle, and gain hands-on experience with Python and SQL through practical tutorials. Discover Big Data technologies like Hadoop and Spark, and learn about cloud platforms including AWS, CloudFront, HoneyCode, and Amplify. Witness live demonstrations of AWS HoneyCode and Amplify, and understand Data Warehousing tools such as Amazon Redshift and Snowflake. Master key programming concepts including Python data structures, flow control, inheritance, NumPy, Pandas, and data visualization using Matplotlib and Seaborn. Apply your skills to a real-world IPL data project. Dive into SQL with a focus on HR Database Management Systems. Explore Big Data concepts, ETL processes, Hadoop architecture, and real-time analytics. Gain insights into cloud computing fundamentals, various cloud providers, and specific AWS services. By the end of this extensive tutorial, acquire a solid foundation in the critical skills required for a successful career in Data Engineering. Read more

Data Engineering Roadmap and Full Course with Python and SQL for 2024

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#Data Science #Data Engineering #Big Data #Programming #Programming Languages #Python #Cloud Computing #Amazon Web Services (AWS) #Domain-Specific Languages (DSL) #SQL #Business #Business Intelligence #Data Warehousing #Hadoop #ETL
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Introduction