Online Workshop: Optimizing Data Processing at Scale

Online Workshop: Optimizing Data Processing at Scale

may, 2024

22may3:00 pm4:00 pmOnline Workshop: Optimizing Data Processing at Scale3:00 pm - 4:00 pm(GMT+00:00) View in my timeEvent Type :Webinar

Event Details

Join us for a 45-minute technical deep dive on data processing at scale, brought to you by experts from Paramount, Touchstream, and G&L, and the SVTA. This session is tailored for media professionals who are tasked with managing high-volume data and are seeking to enhance efficiency and streamline their data systems.

Workshop Highlights:

Data Source Exploration: Dive into various data sources and their use case dimensions, ranging from real-time to historical data analysis.

Challenges in Data Management: Tackle the complexities of high cardinality logs and metrics, crucial for robust data handling.

Practical Strategies: Learn about innovative data reduction techniques and cost-cutting strategies that can be applied to your operations.

Advanced Tooling: Get insights into the latest tools that facilitate efficient data management.

Custom Solutions: Explore how to build your own solutions to fully control your data destiny.

Special Focus: A detailed look at managing CDN logs in large, multivendor environments.

Q&A Session:
Submit your questions in advance via our dedicated event page, where questions can be upvoted ahead of time, ensuring that your most pressing concerns are addressed. Engage directly with our data experts and receive tailored advice for your specific challenges.

– Sean McCarthy: Director, Product – Video Platform at Paramount
– Lyle Scott III: Director of Software Engineering, Video Delivery and Experience at Paramount
– Brenton Ough CEO & Co-Founder at Touchstream, and
– Alexander Leschinsky CEO & Co-Founder at G&L Systemhaus

Who Should Attend:
Media professionals looking to optimize their data operations for better efficiency, reduced costs, and less complexity, all while gaining actionable, real-time insights.


(Wednesday) 3:00 pm - 4:00 pm(GMT+00:00) View in my time