Data Engineering Meetup #6

Schedule:

18:00 - 18:30 Doors open - drinks, and discussions
18:30 - 19:00 Dirk Miethe (SAP) - Innovation with SAP Data Intelligence - from Data Lab to the production of Data Science
19:00 - 19:30 Emily Gorcenski (Thoughtworks) - Continuous Delivery for Machine Learning (CD4ML)
19:30 - 20:00 Break
20:00 - 20:30 Alaa Elhadba (Native Instruments) - Data Vision in music production
20:30 - 21:00 Suyash Garg (Zalando) - Nakadi SQL - SQL engine for streaming queries over Nakadi Event Types
21:00 - 21:45 Networking and Get Together
21:45 Event end

Topics and Speaker Info:

"Innovation with SAP Data Intelligence from Data Lab to the production of Data Science"
Speaker: Dirk Miethe (SAP)

"Continuous Delivery for Machine Learning (CD4ML)"
Emily Gorcenski (Thoughtworks)

It’s already challenging to transition a machine learning model or AI system from the research space to production, and maintaining that system alongside ever-changing data is an even greater challenge. Data scientists regularly work on whole sets of hypotheses, whereas software engineers work more linearly even when evaluating multiple implementation alternatives. The value of data exists at multiple scales, which necessitate different types of implementations. In this talk, we'll explore continuous delivery (CD) for AI/ML, why it's hard, and what to look for.

"Data Vision in Music Production"
Alaa Elhadba (Native Instruments)

Description: Native Instruments has begun a transformation journey to become a platform catering for musicians, producers, performers, & instrument builders. Our platform strategy requires a strong data culture, knowledge, & tools to turn data into high-quality actionable insights in every unit. This talk will cover the psychology of strategic decision making, building a data culture, how to start working with data, and the analytics vision and architecture at Native Instruments.

"Nakadi SQL - SQL engine for streaming queries over Nakadi Event Types"
Suyash Gark (Zalando)

Description: Nakadi is Zalando's in-house event-bus which is a RESTful abstraction over Apache Kafka. It allows defining entities called Event Types with JSONSchema and validates published events against it, ensuring data quality and consistency for data consumers. Nakadi is fully featured with a JSON based schema registry, access control and even has its own user interface.

To provide with a centralized way for teams across Zalando to easily do stream processing, we developed Nakadi SQL, which is a RESTful interface to create powerful SQL queries on Nakadi Event Types.

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Code of Conduct:

Zalando is dedicated to providing a harassment-free experience for everyone, regardless of gender, gender identity and expression, sexual orientation, disability, physical appearance, body size, race, age, nationality, cultural background, religion or lack thereof. We do not tolerate harassment of attendees in any form. Offensive and sexual language and imagery is not welcome at our events. Participants violating these rules may be asked to leave at the discretion of the event organisers.