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Data cleaning is like ensuring that the ingredients in a recipe are fresh and accurate; otherwise, the final dish won't turn out as expected. It's a foundational step in datapreparation, setting the stage for meaningful and reliable insights and decision-making. Let's explore these essential tools.
BI encourages using historical data to promote fact-based decision-making instead of assumptions and intuition. Dataanalysis is carried out by business intelligence platform tools, which also produce reports, summaries, dashboards, maps, graphs, and charts to give users a thorough understanding of the nature of the business.
Time-saving: SageMaker automates many of the tasks, by creating a pipeline starting from datapreparation and ML model training, which saves time and resources. Data Flow – A data flow allows you to specify a series of steps for preparingdata for machine learning.
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