Speaker: Ismaël Mejía

(He / him / his)

Senior Cloud Advocate @Microsoft

Ismaël Mejía is a Senior Cloud Advocate at Microsoft working on the Azure Data and AI team. He has more than a decade of experience architecting systems for startups and financial companies. He has been recently focused on distributed data frameworks, he is an active contributor of Apache Beam (Google Dataflow SDK) and Apache Avro among many other open-source projects.

Find Ismaël Mejía at:

Session + Live Q&A

Taming the Data Mess, How Not to Be Overwhelmed by the Data Landscape

The data engineering field has evolved at a tremendous pace in the last decade, new systems that enable the processing of huge amounts of data generated enormous opportunities, as well as challenges for software practitioners. All these new tools and methodologies created a new set of requirements for data engineers who tend to live in a constant state of catching up.  

In this talk, we review the current data landscape and discuss both technical and organizational ideas to avoid being overwhelmed by the current lack of consolidation of the data engineering world. We will discuss ideas from adopting open source APIs and open standards to more recent data management methodologies around operations, data sharing, and data products that enable us to create and maintain resilient and reliable data architectures.

Date

Wednesday Apr 6 / 10:35AM BST (50 minutes)

Location

Whittle, 3rd flr.

Track

Modern Data Pipelines & DataMesh

Topics

Data Engineering

Slides

Slides are not available

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Session + Live Q&A

Connecting Modern Data Pipelines and Data Products

The complexity of tools, distributed systems, and the CAP theorem introduce tradeoffs that practitioners cannot avoid or ignore as they embrace the world of modern data pipelines. What strategies can you employ? This is where data products come into play. Understanding the business objectives of data products helps us make informed decisions about tools, architecture, and services. Join this panel to learn from data thought leaders! 

Date

Wednesday Apr 6 / 11:50AM BST (50 minutes)

Location

Whittle, 3rd flr.

Track

Modern Data Pipelines & DataMesh

Topics

Data Engineering

Video

Video is not available

Slides

Slides are not available

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