What is Data Engineering? | Data Engineering | Data Engineering Explained | Intellipaat
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🔵 Why Data Engineering is important?
Data engineering helps make data more useful and accessible for consumers of data. To do so, Data engineering must source, transform and analyze data from each system. For example, data stored in a relational database is managed as tables, like a Microsoft Excel spreadsheet. Each table contains many rows, and all rows have the same columns. A given piece of information, such as a customer order, may be stored across dozens of tables.
🔵 Why should you opt for a Data Engineering career?
Data engineers must have specialized skills in creating software solutions around data. At the same time, it’s perhaps unrealistically expected that Data Engineers will be familiar with a breadth of tools and technologies – anywhere from 10 to 30 of them. And these tools are constantly changing.
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