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Pandas is one of the best data manipulation libraries in recent times. It lets you slice and dice, groupby, join and do any arbitrary datatransformation. But even with how awesome pandas generally is, there sometimes are moments when you would like to have just a bit more.
Cloudera Data Warehouse). Efficient batch data processing. Complex datatransformations. Low latency (real-time) data ingestion and querying. Support for data rollup and summarization. Native Indexes for fast filtering, arbitrary slicing and dicing of any dimensional combinations. Apache Hive.
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A critical part of effectively exploring your data, transforming it into actionable insights, and enhancing decision-making for your business is being empowered to slice and dice your data, and be less dependent on technical resources for new updates.
Reports A tabular display of data, often with numerical figures grouped in categories. Interactivity can include dropdowns and filters for users to slice and dicedata. Requirement Multi-Source Data Blending Data from multiple sources is compiled and the output is a single view, metric, or visualization.
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