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Tools such as Python’s Pandas library, Apache Spark, or specialised data cleaning software streamline these processes, ensuring data integrity before further transformation. Step 3: Data Transformation Data transformation focuses on converting cleaned data into a format suitable for analysis and storage.
Python, SQL, and Apache Spark are essential for data engineering workflows. Real-time data processing with ApacheKafka enables faster decision-making. offers Data Science courses covering essential data tools with a job guarantee. The global Big Data and data engineering market, valued at $75.55
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