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Introducing Lenses 6.0 Panoptes

Organizations today face complex data challenges as they scale, with more distributed data architectures and a growing number of teams building streaming applications. They will need to implement Data Mesh principles for sharing data across business domains, ensure data sovereignty across different jurisdictions and clouds, and maintain real-time operations.

9 Best Practices for Transitioning From On-Premises to Cloud with Snowflake

On a day-to-day basis, Snowflake teams identify opportunities and help customers implement recommended best practices that ease the migration process from on-premises to the cloud. They also monitor potential challenges and advise on proven patterns to help ensure a successful data migration. This article highlights nine key areas to watch out for and plan around in order to accelerate a smooth transition to the cloud.

Exposing and Controlling Apache Kafka Data Streaming with Kong Konnect and Confluent Cloud

We announced the Kong Premium Technology Partner Program at API Summit 2024, and Confluent was one of the first in the program. This initial development was all about ensuring that the relationship between Kong and Confluent — from a business and product perspective — fully represented our joint belief that the world of data streaming and the world of APIs are converging.

What is Perforce Helix DAM?

Helix DAM is an intuitive digital asset management solution from Perforce — makers of the industry standard version control platform, Helix Core. Why You Need Digital Asset Management Helix DAM is specialized for today’s popular 3D file formats (including.fbx, .usd, .glb, and.gltf). Helix DAM gives your art and design teams a central place to find, review, and get feedback on every version of the models, textures, and materials they create—while giving your studio the speed and security to collaborate with contractors and vendors.

Rightsizing Your Data Infrastructure: Optimizing Databricks Cluster and Workspace Configurations

Join us for another enlightening session in our Weekly Walkthrough series, "FinOps Metrics That Matter," where we focus on the critical aspect of rightsizing your Databricks infrastructure for optimal performance and cost-efficiency. Achieving the right balance between performance and cost is paramount. However, a striking 80% of data management experts grapple with precise cost forecasting and management (Forrester). The primary culprits? Insufficient granular visibility, data silos, and a lack of AI-driven predictive tools.

CDC and Data Streaming: Capture Database Changes in Real Time with Debezium PostgreSQL Connector

In today's data-driven world, staying ahead means acting on the most up-to-date information. That's where change data capture (CDC) comes in. CDC is a design pattern that tracks your database tables, capturing every row-level insert, update, and delete as it happens. This real-time monitoring allows downstream systems to react to changes instantly, without batch-based updates and resource-intensive full scans.