Sun.Aug 16, 2020

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Analysing Streaming Tweets with Python and PostgreSQL

Analytics Vidhya

Introduction We are aware of the massive amounts of data being produced each day. This humungous data has lots of insights and hidden trends. The post Analysing Streaming Tweets with Python and PostgreSQL appeared first on Analytics Vidhya.

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The Business Analyst's Guide To Running Virtual Workshops

BA Learnings

The new normal of online working is bound to introduce new habits and learning opportunities for business analysts looking to navigate the tides of the post-pandemic workplace. From running physical workshops with a room filled with eager participants to managing virtual workshops where participants are in different geographical locations with some participants perhaps preferring to hide behind their screens.

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Doing Power BI the Right Way: 2. Preparing source data

Paul Turley

Second post in the "Doing Power BI the Right Way" series. In a business intelligence solution, data must be shaped and transformed. Your data is rarely, if ever, going to be in the right format for analytic reporting.

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Using Data Before, During, and After Natural Disasters

Teradata

Even with COVID still in our midst, we have other disasters that Mother Nature will continue to throw at us. Learn how data can help us be better prepared and save lives.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.