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How to use SQL with Pandas?

MLWhiz

Pandas is one of the best data manipulation libraries in recent times. It lets you slice and dice, groupby, join and do any arbitrary data transformation. But even with how awesome pandas generally is, there sometimes are moments when you would like to have just a bit more.

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Simplify Metrics on Apache Druid With Rill Data and Cloudera

Cloudera

Cloudera Data Warehouse). Efficient batch data processing. Complex data transformations. 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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Enhance your analytics embedding experience with the new Amazon QuickSight JavaScript SDK

AWS Big Data

State Persistance means when readers slice and dice embedded dashboards with filters, QuickSight will persist filter selection until they return to the dashboard. Readers can pick up where they left off and don’t have to re-select filters.

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How to Streamline Report Management to Enhance Your Data-Driven Business

Sisense

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.

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What Is Embedded Analytics?

Jet Global

Reports A tabular display of data, often with numerical figures grouped in categories. Interactivity can include dropdowns and filters for users to slice and dice data. Requirement Multi-Source Data Blending Data from multiple sources is compiled and the output is a single view, metric, or visualization.