Simplifying Real-Time Data Streaming for Analytics at Scale

#1681424: Simplifying Real-Time Data Streaming for Analytics at Scale - 4th June 2025

Description:	In the high-stakes world of betting and gaming, milliseconds matter. Real-time data powers everything—from live odds and fraud detection to operational reporting, player safety, machine learning and personalisation. But traditional streaming architectures—often built on legacy Kafka platforms and stitched-together tooling—can’t keep up with modern demands. That’s why Entain, a global leader in sports betting and gaming entertainment, partnered with Redpanda to simplify their streaming stack, eliminate operational bottlenecks, and deliver real-time data into Snowflake and across their business. In this fireside chat, we’ll take you inside Entain’s real-time data transformation and explore how they: Replaced Confluent Cloud with Redpanda BYOC in just two weeks, achieving a 30% boost in performance and a 24% annual reduction in total cost of ownership Streamlined real-time financial, operational, and regulatory reporting with low-latency, query-ready data into Snowflake Eliminated 28,000 lines of Kafka Connect and custom ingestion code into Snowflake by adopting Redpanda Connect’s simple YAML-based configuration Shifted from batch ETL to live analytics and ML use cases, enabling faster, smarter decisions across the business Minimized risk and reduced downtime with a more reliable, developer-first platform that supports regulated, high-throughput workloads Whether you’re in gaming, finance, or any real-time business, this is a blueprint for reclaiming control of your data infrastructure, reducing complexity, and scaling innovation with confidence.
More info:	https://whitepapers.theregister.com/paper/view/38707/simplifying-real-time-data-streaming-for-analytics-at-scale?td=m-ev?td=m-ev-2025-05-15&utm_source=events&utm_medium=mailshot&utm_content=webcast

Description:

In the high-stakes world of betting and gaming, milliseconds matter. Real-time data powers everything—from live odds and fraud detection to operational reporting, player safety, machine learning and personalisation.

But traditional streaming architectures—often built on legacy Kafka platforms and stitched-together tooling—can’t keep up with modern demands. That’s why Entain, a global leader in sports betting and gaming entertainment, partnered with Redpanda to simplify their streaming stack, eliminate operational bottlenecks, and deliver real-time data into Snowflake and across their business.

In this fireside chat, we’ll take you inside Entain’s real-time data transformation and explore how they:

Replaced Confluent Cloud with Redpanda BYOC in just two weeks, achieving a 30% boost in performance and a 24% annual reduction in total cost of ownership
Streamlined real-time financial, operational, and regulatory reporting with low-latency, query-ready data into Snowflake
Eliminated 28,000 lines of Kafka Connect and custom ingestion code into Snowflake by adopting Redpanda Connect’s simple YAML-based configuration
Shifted from batch ETL to live analytics and ML use cases, enabling faster, smarter decisions across the business
Minimized risk and reduced downtime with a more reliable, developer-first platform that supports regulated, high-throughput workloads
Whether you’re in gaming, finance, or any real-time business, this is a blueprint for reclaiming control of your data infrastructure, reducing complexity, and scaling innovation with confidence.

More info:

https://whitepapers.theregister.com/paper/view/38707/simplifying-real-time-data-streaming-for-analytics-at-scale?td=m-ev?td=m-ev-2025-05-15&utm_source=events&utm_medium=mailshot&utm_content=webcast

Date added	May 15, 2025, 9:45 a.m.
Source	The Register
Subjects	PodCasts / Webcast / Webinar / eSummit / Virtual Event etc.
Venue	June 4, 2025, midnight - June 4, 2025, midnight