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In this video ETL by Simplilearn we will start by explaining what ETL is, which means to Extract, Transform, Load , its importance in today’s data-heavy environments, and how it supports efficient decision-making. You'll learn about the process through real-world examples, explore popular ETL tools (both traditional and cloud-based), and understand the common challenges businesses face when implementing ETL.
By the end of the video, you'll have a solid understanding of ETL, the tools companies use, and why mastering this skill can open doors to countless opportunities in data engineering.
Below are the topics covered in this video :
00:00 - Introduction
02:01 - Why ETL is so important
03:26 - Real World Example
05:56 - Old/Traditional ETL Tools
07:41 - Cloud Based ETL Tools
08:46 - Challenges
ETL stands for Extract, Transform, and Load. It’s a data management process that helps businesses gather data from various sources, clean and organize it, and store it in a central location like a database. The data is first extracted, then transformed by filtering and formatting to ensure consistency, and finally loaded into a system for easy analysis. ETL is crucial for turning raw data into valuable insights for better decision-making.
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#ETL #DataEngineering #simplilearn #2024
➡️ About Professional Certificate Program in Data Engineering
This Data Engineering course is ideal for professionals and equips you with Python, SQL, NoSQL, Big Data, Snowflake, AWS, Azure & GCP fundamentals. Prepare for in-demand certifications (AWS, Azure & Snowflake) and build your portfolio using the Capstone project.
✅ Key Features
- Program completion certificate from Purdue University Online and Simplilearn
- Access to Purdue’s Alumni Association membership on program completion
- 150+ hours of core curriculum delivered in live online classes by industry experts
- Capstone from 3 domains and 14+ projects with Industry datasets from YouTube, Glassdoor, Facebook, etc.
- Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Skills Covered
- Real-Time Data Processing
- Data Pipelining
- Big Data Analytics
- Data Visualization
- Provisioning data storage services
- Apache Hadoop
- Ingesting Streaming and Batch Data
- Transforming Data
- Implementing Security Requirements
- Data Protection
- Encryption Techniques
- Data Governance and Compliance Controls
? Learn More At: https://www.simplilearn.com/pgp-data-engineering-certification-training-course?utm_campaign=Z4hTkPjZ8Z0&utm_medium=Description&utm_source=Youtube