Name: Why Develop Data Products on Top of Headless BI
Start: 2021-08-04T19:30:00+03:00
End: 2021-08-04T21:00:00+03:00

Agenda (Israel Time)

• 19:30-19:45 - Opening, Announcements, and More...

• 19:45-20:45 - Why Develop Data Products on Top of Headless BI

• 20:45-21:00 - Q&A and Open Discussion

Session: Why Develop Data Products on Top of Headless BI – ZD Svoboda & Martin Svadlenka (60 Minutes, English)

Building advanced customer-facing analytics products comes with several challenges:

• End-users consume analytics in many different ways: dashboards, ad-hoc data discovery, exporting to Excels or desktop BI, importing data to AI, ML, and statistical tools, receiving emails with PDF or XLS attachments

• You have to maintain consistency of the analytics across multiple consumers and the channels mentioned above

• Self-service that is required as a one-size-fits-all approach never works in analytics

• Developers want to build dashboards rapidly and, as a code, integrate analytics into the stack with open APIs

• Infrastructure teams need zero down-time and continuous deployment of the analytical stack, deployable to microservices-based projects

• Product management needs flexibility, customizability, and solutions that will support their roadmap plans

In this meetup, we will explain the fundamental concepts of a headless BI with live examples. You’ll learn:

• Why use the semantic model to ensure data consistency across all users of your data product

• How composable measures enable self-service analytics for your end-users

• Why define metrics and all analytics objects declaratively to achieve agile, continuous delivery of your data product

• How Open APIs deliver analytics to all channels and places where your users need it

You can download your version of the headless BI from Docker Hub: https://hub.docker.com/r/gooddata/gooddata-cn-ce or learn more about the product at https://www.gooddata.com/developers/.

Guy Glantser

Data Platform Meetup Israel

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Business Intelligence

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Database Development

Machine Learning

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Data Analytics

Data Visualization

Data Mining

NoSQL

Why Develop Data Products on Top of Headless BI

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