Wed 4 January 2023 | 5:00 pm - 7:00 pm
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In this series, we’ll dive deep into the ever-evolving world of big-data, looking at the latest technologies and best practices in the field
TARGET AUDIANCE
CTO, Architects, R&D and/or Data engineer Lead, Big Data Architects
AGENDA
16:45 OPEN DOORS
17:00 – 17:20 – Gathering, Beer, and food
17:20 – 17:30 – Golan Nahum, CEO – Twingo, Welcome
17:30 – 18:00 – Yatharth Gupta, SVP, Product Management; Shireesh Thota, SVP, Engineering
Scaling Real-Time Applications With a Unified Data Architecture
Since the early days of inception, applications have continuously evolved. And today, applications are no longer about the simple input and output of data — instead, they must be able to read, write and reason on real-time data to deliver instant results to users. To do so, applications need to be built on a data foundation that supports the high volume and velocity of data present today. What does that foundation look like? It’s a unified, simplified data architecture that eliminates the unnecessary and focuses clearly on delivering real-time, actionable information.
Join SingleStore’s SVP of Product Management Yatharth Gupta and SVP of Engineering Shireesh Thota for this interactive session that dives into:
-The future of applications
-Key features to look for in a unified data architecture
-The necessary components for building real-time applications
18:00 – 18:20 – Eynav Mass, Director of engineering, LINKEDIN
Eynav is leading LinkedIn’s Engineering in Israel, managing global groups in Israel and the US, and building a high-scale data processing platform with billions of incoming events. Priorly, Eynav was the VP of R&D at Oribi, a big-data-based product that LinkedIn acquired.
Avoid the Biggest Pitfalls of Big Data: Learn from These Common Mistakes!
Big-data systems are unique, powerful, and fast-evolving. With this great power comes responsibility; any mistake made in a big-data system can be easily turned into a big big mistake. Three big real-life mistakes we experienced in Oribi and how we navigated successfully.
18:20 – 18:40 – Fabian Szenkier, Big Data Architect, ironSource
Uncovering the Evolution of an ML Pipeline
18:40 – 19:00 – Panel of big-data experts with Q&A – Customers, Twingo and SingleStore
Location: 121 Derech Menachem Begin,Tel Aviv-Yafo
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