Running Apache Iceberg For Financial Workloads At Affirm

Apache Iceberg unlocks the complex time travel requirements and intensive data validation needs that Affirm has as a financial company. Iceberg's write-once / read-anywhere paradigm simplifies Affirm’s governance by minimizing existing data sets — ensuring there is only ever one logical copy of a given data set, complete with a validation history, and tag-based time travel watermarks. This presentation recorded at Summit 2025 provides detail on the the way Affirm leverages Snowflake’s Open Catalog to power our Iceberg implementation, solving both operational and analytic challenges in the business.

Confluent Champion: How Vineet Pursues Engineering Excellence in an Innovation Culture

Based in Delhi, India, Vineet Singh has worked as a Senior Software Engineer at Confluent for the past three years, and he has contributed to various parts of Confluent’s core data streaming engine. Now he’s part of the team that makes Apache Kafka cloud-native, serverless, and able to power robust and scalable solutions for Confluent Cloud customers. Learn more about Vineet’s experience and growth at Confluent and how his team and environment have set him up for success.

Working Twice as Hard for Half the Progress? Then This Is For You

Databox CEO Pete Caputa nails a frustration most execs feel: the grind is getting harder while results feel smaller. In this clip, he shares the fork in the road every leadership team faces - and the choice that leads to predictable growth. That’s why he created a new methodology course called “Predictable Scale." Databox is Modern BI for teams that need answers now. It offers the best of business intelligence software, without the complicated setup, steep price, or long learning curve.

How to migrate AWS MSK to Express Brokers with Lenses K2K Replicator

AWS MSK has become popular because it deploys Kafka easily and bills alongside other AWS services. Over the past few years, AWS announced Express Brokers, a new cluster type that offers unlimited storage and separates brokers from storage resources. This simplifies scaling and reduces the time needed to rebalance topics when adding or removing brokers.

Using Webhooks to Integrate Confluent Cloud and Microsoft Teams

Data streaming equips modern organizations to rapidly ingest and understand new information and use it to solve real-world problems at scale. For some of these real-time insights—critical operational cues that demand a timely response—delivering that information directly to your team’s inbox is the best way to act on it.