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Endava Tech Talks - Driving Innovation Through The Cloud(s)

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Иван С.
Endava Tech Talks - Driving Innovation Through The Cloud(s)

Details

This edition of Endava Tech Talks is all about “Cloud Solutions”.
It is structured in two parts, one on how to choose from different cloud solutions available and one presenting you a case-study that you will be able to implement starting the next days!

Panelists from three countries will cover the topic from different angles, as they are specialized in dedicated areas such as (Development, Data, Cloud, and DevOps).

Agenda (EEST Time):

6:00 PM – 6:45 PM – Panel Discussions
6:45 PM – 7.00 PM – Q&A Panel
7:00 PM – 7:45 PM – Qwikloud Case-Study
7:45 PM – 8:00 PM – Q&A Case-Study

The speakers are:

Host: Andrei Daneasa – Principal Data Consultant – Bucharest

  1. The Panel discussion:

Bulgaria: Kristian Azmanov – Senior Developer Endava – Sofia

Romania: Ciprian Dogaru – Head of Development – Pitești

George Constantin – Senior Developer – Bucharest

Serbia: Dalibor Lazarevic – Lead Data Consultant – Belgrade

Zdravko Radmanovic – Development Lead – Belgrade

The first part is a panel discussion with some of our cloud experts (in Bulgaria, Romania, and Serbia) where they will share experiences gathered in real customer projects. They will cover the entire journey, from identifying advantages of running the projects in the cloud, migrating them to cloud, types of deployment and doing CI/CD on the cloud, to processing large amounts of data in the cloud and creating meaningful visualizations and reports on it.

Without being competitive, our team will touch the top three cloud providers (AWS, Azure, GCP) and some highlights from their offering. Attendees will have the chance to ask questions in a dedicated Q&A session.

  1. The second part will be dedicated to showcasing an accelerator build within Endava using the Google Cloud Platform.

Based on a highly powerful and customizable artificial data generator, Qwikloud is used to create meaningful customer presentations on any business domain and with any data size, including streaming data generator.
Once this artificial data is being created, the platform will process both real-time data streams and batch data simultaneously, while storing them in a highly scalable data warehouse, apply machine learning on it, see real-time dashboards and also interact with the underlying data via chatbots.
You will discover all the speakers and be able to ask questions during the next days.

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Endava Development Sofia
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