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Data Ingestion Meaning At its core, It refers to the act of absorbing data from multiple sources and transporting it to a destination, such as a database, data warehouse, or datalake. Batch Processing In this method, data is collected over a period and then processed in groups or batches.
Now that you know why it is important to manage unstructured data correctly and what problems it can cause, let's examine a typical project workflow for managing unstructured data. To combine the collected data, you can integrate different data producers into a datalake as a repository.
Tools such as Python’s Pandas library, Apache Spark, or specialised datacleaning software streamline these processes, ensuring data integrity before further transformation. Step 3: Data Transformation Data transformation focuses on converting cleaneddata into a format suitable for analysis and storage.
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