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.

Week 3 CFO Masterclass: Building Predictive Intelligence in Finance

Discover how finance teams can move beyond static reporting with predictive intelligence! In this masterclass preview, see how your team can evolve into proactive advisors by leveraging leading indicators and predictive insights. Watch our Week Three Masterclass and dive deeper with the full blog: “Beyond Financial Statements: Building Predictive Intelligence” for strategies to revolutionize your finance workflows.

AI-Ready DataOps: Rethinking MDS for LLMs

AI is changing how data teams operate. Is your pipeline ready? Today, data isn't just powering insights, it's fueling real-time decisions and AI/ML models. That means teams now face stricter requirements around data freshness, reliability, orchestration, and delivery speed. In this webinar, Hugo Lu, Founder & CEO at Orchestra will explore what it really means to build AI-first data operations & how leading data teams are adapting their infrastructure, workflows, and tooling to support this new era of model-driven development.

How Iceberg Powers Data and AI Applications at Apple, Netflix, LinkedIn, and Other Leading Companies

Apache Iceberg is transforming how organizations build and manage their data infrastructure, enabling lakehouse architectures that combine the best of data lakes and data warehouses. In this blog, we look at five real-world implementations demonstrate Iceberg's versatility and the advantages it brings to modern data management challenges. Learn more about Data Lakehouses.

Is Building Your Own Analytics Worth It?

Building your own analytics gives you full control, but it’s costly, slow, and drains focus from your core product. Buying an embedded analytics solution like Yellowfin lets you move faster, monetize sooner, avoid technical debt, deliver a polished user experience, and rely on proven security and compliance (all while keeping your team focused on what makes your product unique).