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!
Speaker
Dr. Einat Orr
Co-creator of @lakeFS, Co-founder & CEO of Treeverse
Einat Orr has 20+ years of experience building R&D organizations and leading the technology vision at multiple companies, the latest being Similarweb, that IPO in NYSE last May. Currently she serves as Co-founder and CEO of Treeverse, the company behind lakeFS, an open source platform...
Read moreFind Dr. Einat Orr at:
Speaker
Roksolana Diachuk
Big Data Engineer @Captify
Roksolana works as a Big Data Engineer at Captify. She is a speaker at technical conferences and meetups, one of the Women Who Code Kyiv leads. She is passionate about Big Data, Scala, and Kubernetes. Her hobbies include building technical topics around fairytales and discovering new cities.
Read moreFind Roksolana Diachuk at:
Speaker
Ricardo Sueiras
Principal Advocate in Open Source @AWS
Over 30 years spent working in the technology industry, helping customers solve business problems with open source and cloud. Currently I am a Developer Advocate at AWS focusing on open source, where I help raise awareness of AWS and our customers open source projects and technology, and work...
Read moreSpeaker
Ismaël Mejía
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...
Read moreFind Ismaël Mejía at:
Date
Wednesday Apr 6 / 11:50AM BST (50 minutes)
Location
Whittle, 3rd flr.
Track
Modern Data Pipelines & DataMesh
Topics
Data EngineeringVideo
Video is not available
Slides
Slides are not available
Add to Calendar
Add to calendarShare
From the same track
Modern Data Pipelines in AdTech—Life in the Trenches
Wednesday Apr 6 / 01:40PM BST
There are various tasks that the modern data pipelines approach helps us solve in different domains, including advertising. Modern data pipelines allow us to process data in a more efficient manner with a diverse set of data transformation tools for both batch and streaming data processing....
Roksolana Diachuk
Big Data Engineer @Captify
Taming the Data Mess, How Not to Be Overwhelmed by the Data Landscape
Wednesday Apr 6 / 10:35AM BST
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...
Ismaël Mejía
Senior Cloud Advocate @Microsoft
Orchestrating Hybrid Workflows with Apache Airflow
Wednesday Apr 6 / 02:55PM BST
According to analysts, 87 percent of enterprises have already adopted hybrid cloud strategies. Customers have many reasons why they need to support hybrid environments, from maximizing the value from heritage systems to meeting local compliance and data processing regulations. As they build...
Ricardo Sueiras
Principal Advocate in Open Source @AWS
Data Versioning at Scale: Chaos and Chaos Management
Wednesday Apr 6 / 04:10PM BST
Version control is fundamental when managing code, but what about data? Our data changes over time, first since it accumulates, we have new data points for new points in time. But this is not the only reason. We also have additional data added to past time, since we were able to get additional...
Dr. Einat Orr
Co-creator of @lakeFS, Co-founder & CEO of Treeverse