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Track: #Special Day
- Montag
20.06. - Dienstag
21.06.
What is Data Mesh? Join Starburst for an introduction into this modern approach to managing analytics at scale. Data Mesh embraces decentralisation over-centralisation, meaning it allows companies to become more efficient in accessing and exploiting data as a core architectural approach.
Andy ist EMEA Head of Partner Solutions Architecture and Data Mesh Lead bei Starburst. Andy unterstützt das schnell Wachstum von Technologiepartnern in Europa und im Nahen Osten und arbeitet u.a. mit Data Reply, AWS, Google Cloud, Red Hat und Thoughtspot zusammen.
Mit mehr als 20 Jahren Erfahrung in analytischen und datenorientierten Funktionen liegt Andys besonderer Fokus auf der Frage, wie der Nutzen von Analytik, die analytische Kultur und die analytischen Prozesse eines Unternehmens durch Technologien wie Self-Service-Datentools, Cloud- und Streaming-Analysen optimiert werden können.
There’s so much Data Mesh theory, but most organisations need more strategic guidance on how to implement it. Join this session to guide you learn how to cultivate a Data Mesh mindset when transforming from a data & analytics strategy towards a data-driven organisation.
Andy ist EMEA Head of Partner Solutions Architecture and Data Mesh Lead bei Starburst. Andy unterstützt das schnell Wachstum von Technologiepartnern in Europa und im Nahen Osten und arbeitet u.a. mit Data Reply, AWS, Google Cloud, Red Hat und Thoughtspot zusammen.
Mit mehr als 20 Jahren Erfahrung in analytischen und datenorientierten Funktionen liegt Andys besonderer Fokus auf der Frage, wie der Nutzen von Analytik, die analytische Kultur und die analytischen Prozesse eines Unternehmens durch Technologien wie Self-Service-Datentools, Cloud- und Streaming-Analysen optimiert werden können.
Artyom has taken the role of Managing Director of Data Reply beginning 2022, having previously led the Big Data Business Unit and served as the company Technical Lead. Since then, Data Reply’s focus has been on building scalable Data Platforms, Event-Driven Applications and ML Applications. He himself has been involved in a range of Data driven and ML use cases and has been the Lead Developer and primary architect for a variety of large-scale Data Platforms used by large organizations from different Industries.
This activity is suitable for data warehouse developers, BI managers, and data architects who want to take the fastest, safest, most secure path to create, manage and adapt Data Warehouses, Data Marts, Data Vaults, and Data Lakes.
Attendees will enjoy a fast-paced, interactive workshop using WhereScape's automated code generator and best-practice templates to build a fully functional and documented data warehouse.
You will be set up with your own instance of WhereScape and a target database via a virtual machine and then guided through real-world development scenarios as if you were part of a professional data engineering team. This is an excellent opportunity to learn about the latest data automation technologies and how they can help you streamline your data architecture.
Attendees from Part 1 will continue their data automation experience. By the end of this session, you will have built a Data Warehouse and understand the wider value of this approach to Data Vaults, Data Marts, and Data Lakes.
The secrets to accelerating data projects and delivering in hours, not weeks or months, will have been revealed! You will know how to eliminate technology lock-in and future-proof your data architecture.
Are you considering Data Vault but are not sure if it is a match for your needs? Are you about to embark on your first project? Do you want to discuss real-world applications? Are you keen to understand how to maximize your investment and see results fast?
This is an “ask the expert” session where you can question Data Vault practitioners, specialists, and automation technologists as we cover all of the above topics and more!
Drinks, nibbles, competitions
The Data Lake is dead, long live the Data Mesh! But what is a Data Mesh exactly? And how does Real-Time fit into it?
In this talk you’ll learn what a Data Mesh approach brings to the table, as well as the why and how of creating a Real-Time backbone for your Data Mesh architecture.
Alex Piermatteo works as a Manager and Architect for the Event Driven and Streaming Applications Business Unit at Data Reply. Alex is regular speaker at conferences and his main area of expertise lies within the fields of Stream Processing, Big Data Integration & Analytics, Cloud, Microservices and DevOps.
Sergio Spinatelli works as a Manager and Architect for the Event Driven and Streaming Applications Business Unit at Data Reply. With experiences in major industries (Automotive, Retail, Media, Banking) and with state of the art Big Data technologies, he focuses on Stream Processing, Real-Time Analytics, Microservice Architectures and Cloud.