Creating Live Dashboards With QuickSight

Data Dashboard Business Intelligence Data Science And Machine Learning

Pandas Landing Page
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Pandas

Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Pricing:
- Open Source
All that we do in the root of the application is use pandas to read the CSV directly from the url in GitHub and save that CSV to S3. Yes, we could have avoided pandas for this specific workload, as we’re not doing any real processing in the Lambda function. But it’s most likely you will want to do some transformations, and pandas is the best at this.

#Data Science And Machine Learning #Data Science Tools #Python Tools 199 social mentions
Looker Landing Page

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Looker

Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

For many enterprise grade applications, providing a point where you can access in-depth analysis about your data has become a crucial feature. There are many approaches to this - you can build you own web application and backend that has views allowing customers to filter and analyse data. Alternatively, you can use the embedded analytics capabilities of Looker, Tableau or Sisense - all of which are large business intelligence tools, with a host of features and connectors into all sorts of data sources. But if you’re already on AWS, then it really is worth considering QuickSight to present analytics in your web application.

#Data Dashboard #Business Intelligence #Data Visualization 14 social mentions
Amazon QuickSight Landing Page

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Amazon QuickSight

Fast, easy to use business analytics at 1/10th the cost of traditional BI solutions

For many enterprise grade applications, providing a point where you can access in-depth analysis about your data has become a crucial feature. There are many approaches to this - you can build you own web application and backend that has views allowing customers to filter and analyse data. Alternatively, you can use the embedded analytics capabilities of Looker, Tableau or Sisense - all of which are large business intelligence tools, with a host of features and connectors into all sorts of data sources. But if you’re already on AWS, then it really is worth considering QuickSight to present analytics in your web application.

#Business Intelligence #Data Dashboard #Machine Data Analytics 17 social mentions