![]() ![]() You must get your hands on real-world datasets and practice ETL tasks using them. The transition from synthetic datasets to real-world data. ![]() Understanding these transformations is crucial for performing ETL successfully. You must study how data is altered during ETL processes, including common tasks like filtering, sorting, aggregating, and combining data. Data transformation is also a crucial part of the ETL process. You should experiment with importing this data into your chosen ETL tool, giving you hands-on experience in the initial phase of ETL. You must also practice data extraction by learning to fetch data from various sources like databases, spreadsheets, or web APIs.
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