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Numpy -Slicing and Dicing: A Beginner’s Guide

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction : Numpy is a package for scientific calculation in Python. The post Numpy -Slicing and Dicing: A Beginner’s Guide appeared first on Analytics Vidhya.

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13 power tips for Microsoft Power BI

CIO Business Intelligence

The Direct Lake mode in Microsoft Fabric, which provides live access to operational data for analytics, is also available in Power BI for datasets on Lakehouses and (soon) Data Warehouses. Integrate with Office If your users prefer to slice and dice with Pivot tables, Power BI data can also be used in Excel.

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Common Business Intelligence Challenges Facing Entrepreneurs

datapine

Also, limited resources make looking for qualified professionals such as data science experts, IT infrastructure professionals and consulting analysts impractical and worrisome. Robust dashboards can be easily implemented, allowing potential savings and profits to be quickly highlighted with simple slicing and dicing of the data.

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How OLAP and AI can enable better business

IBM Big Data Hub

Initially, they were designed for handling large volumes of multidimensional data, enabling businesses to perform complex analytical tasks, such as drill-down , roll-up and slice-and-dice. Early OLAP systems were separate, specialized databases with unique data storage structures and query languages.

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Move Beyond Excel, PowerPoint And Static Business Reporting with Powerful Interactive Dashboards

datapine

They enable you to easily visualize your data, filter on-demand, and slice and dice your data to dig deeper. They can also be fun, and here you can see some of the best data visualization examples , most of them made out of stunning interactive dashboard examples. 4) Cross Tab Filters.

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Migration Supporting Real-Time Analytics for Customer Experience Management

Cloudera

As SMG continued to innovate, the scale, variety and velocity of data made its legacy warehouse environment show its limits. LLAP operates on open columnar data formats like ORC which are often used by Data Science tools like Spark, seamlessly enabling AI and Data Science on the same datasets. .

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Smarten Announces Sentiment Analysis Capability Designed for Business Users!

Smarten

Businesses can analyze text to understand positive, negative and neutral sentiments, and can analyze the sentiments further with slice and dice with context variables such as persons location or demography.