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What’s the Difference Between ETL and ELT on AWS?

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What’s the Difference Between ETL and ELT on AWS? Introduction AWS Data Engineering is becoming one of the most important skills in today’s technology world. Every company collects data from websites, mobile apps, payments, customer forms, and social media. But raw data is not useful unless it is cleaned and arranged properly. In the middle of learning an AWS Data Engineering Course , students often hear two common words — ETL and ELT. These two methods help move and prepare data, but they work in different ways. What’s the Difference Between ETL and ELT on AWS? What is ETL? ETL means: Extract Transform Load In ETL, data is first collected from different sources. Then it is cleaned and changed into the correct format. After cleaning, it is loaded into a data warehouse. Easy Example Imagine you are preparing rice for cooking: 1.      You take rice from the bag (Extract). 2.      You wash and clean it (Transform). 3. ...
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What is the Difference Between Data Engineer and Data Analyst?

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What is the Difference Between Data Engineer and Data Analyst? Introduction AWS Data Engineering is one of the fastest-growing career paths in the tech world today. Many students who explore cloud and data careers often get confused between two popular roles: Data Engineer and Data Analyst. At first glance, both work with data. Both use tools, dashboards, and cloud systems. However, their daily work, responsibilities, and required skills are very different. If you are planning to join an AWS Data Engineering Course , understanding this difference will help you choose the right direction for your future. In simple words, a Data Engineer builds the system that collects and prepares data. A Data Analyst studies that prepared data and finds useful insights from it. Think of it like this: if data is water, the Data Engineer builds the pipes and storage tanks, while the Data Analyst checks the water quality and explains what it means. Let us now clearly understand the difference ste...
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