Ep 3 - The Connective Tissue: Shift Left to turn Data Chaos to Clarity

In the final episode of our 3-part series on the basics of data streaming, we take a deep dive into data integration—covering everything from data governance to data quality. Our guests, Mike Agnich, General Manager of Data Streaming Platform, and David Araujo, Director of Product Management at Confluent, explain why connectors are must-haves for integrating systems.

The Secret Sauce for Great Partnerships: 5 Key Ingredients

Some companies have created that unfair advantage by unlocking data’s hidden treasures, or by leveraging a powerful ecosystem, or by overcoming adversity, or through other great means like a unique company culture. Another great way is driving excellence in partner engagements to unlock value quicker than your competitors. So, what are the key ingredients for that particular recipe?

Introducing Journeys. A Revolution in Digital Analytics

Today, we are thrilled to unveil what our CEO Onur Alp Soner calls "not just a new version, but a new path forward" for Countly. As a leading digital analytics platform, we’re launching our most significant release to date, featuring two transformative tools—Journeys and Content Builder—crafted to redefine how you engage and personalize experiences for your customers. ‍

Database Replication 101: Everything You Need To Know

Database replication involves making sure important data is replicated across multiple locations within a company. In the advanced digital age, businesses must take all measures to safeguard their data and ensure its availability at all times. Data availability is important for proactive decision-making and empowering other tech, such as AI. This is where database replication becomes a high priority. But what is database replication exactly?

Cluster Linking for Azure Private Link is Now Available in Confluent Cloud

Many organizations run Apache Kafka clusters in private Azure networks to meet stringent security, compliance, and operational requirements. However, securely replicating data across clusters without exposing traffic to the public internet has traditionally been complex, requiring self-managed mirroring solutions with significant operational overhead.

Data Quality Monitoring: Enabling Reliable, High-Integrity Data

In this demo, we’ll show you how to create a custom Data Metric Function (DMF), associate it with your tables for continuous data quality monitoring, and query the results from a centralized table. Watch to learn how built-in monitoring helps you track critical data objects, identify quality issues, and take quick action to ensure reliable, high-integrity data across your organization.