Navigating the AI Revolution as a Solution Provider

In the evolving business landscape, organizations are relentlessly seeking ways to improve productivity, gain deeper insights from data, personalize end-user experiences and automate repetitive processes. As a result, many of your customers are likely hoping that integrating Artificial Intelligence (AI) will help them master these challenges effectively.

12 Best Marketing Automation Tools for 2025

Marketing is like the complex blood system of the body. It has too many branches spreading into each and every area of the body. Some are thin, some are thick – but all are equally important for healthy functioning. Automation can help you cut down some of the work in this system and focus on those bigger, fatter arteries that supply blood directly to the heart of the business. It can help you run multiple campaigns at once and stay ahead of the competition.

How to Leverage Your Website Analytics to Acquire New Customers? [Research Findings Based on 100+ Companies]

Tracking standard metrics isn’t enough – while many businesses monitor page views, bounce rates, and similar metrics, only a few are really taking advantage of these insights to acquire new customers. You should understand what’s bringing people in, what’s driving them away, and—most importantly—how to get them to stay and convert So, what metrics should you actually pay attention to? And how can you leverage those insights to consistently bring in new customers?

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.

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.

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.

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.