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These tools will help make your initial data exploration process easy. ydata-profiling GitHub | Website The primary goal of ydata-profiling is to provide a one-line Exploratory Data Analysis (EDA) experience in a consistent and fast solution.
IBM watsonx.data is a hybrid, governed datalake house optimized for data, analytics and AI workloads. Additionally, watsonx.data provides a flexible approach and a unified view of your data across hybrid cloud environments. Key highlights include driving business analytics with engines like Presto and Spark.
It can be extended to incorporate additional types of operational events—from AWS or non-AWS sources—by following an event-driven architecture (EDA) approach. It also prepares a datalake for BI dashboards and reporting analysis.
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