Systems | Development | Analytics | API | Testing

Connect with Confluent Q4 Update: New Program Entrants and SAP Datasphere Hydration

The Connect with Confluent (CwC) Technology Partner Program consistently expands the reach of Confluent’s data streaming platform across an ever-growing landscape of enterprise data systems. In this blog, you’ll meet the latest program entrants who have built fully managed integrations with Confluent and discover new ways to leverage real-time data across your business.

Top 3 Data and Analytics Trends to Prepare for in 2025

2025 is poised to be another year of significant advancements in business intelligence (BI) and analytics. Building on the momentum of 2024, which saw a surge in self-service BI adoption, our attention turns to newer, sophisticated artificial intelligence (AI) solutions. As the data landscape evolves, it’s important to keep agile and adapt to emerging technologies to stay competitive and maximize the value of your analytics investments.

Elevating Productivity: Cloudera Data Engineering Brings External IDE Connectivity to Apache Spark

As advanced analytics and AI continue to drive enterprise strategy, leaders are tasked with building flexible, resilient data pipelines that accelerate trusted insights. AI pioneer Andrew Ng recently underscored that robust data engineering is foundational to the success of data-centric AI—a strategy that prioritizes data quality over model complexity.

Mind the Gap: Serving Up a Unified Business Data Model for QSR Success

‍ In our previous article, The Key to Unlocking QSR Growth, we discussed the guiding principles that lay a strong foundation for success in the Quick Service Restaurant (QSR) industry. We highlighted the importance of data analytics for improved decision-making, automation, and scalable growth.

How to Set Up Networking on Confluent Cloud

Setting up network connections can often seem difficult or time consuming. This video provides a wayfinding introduction to help you get networking up and running for all cluster types on Confluent Cloud, showing you your networking options for each cluster type when running on AWS, Azure, or Google Cloud, respectively.

Seamlessly Connect IoT Data Streams: Integrating Confluent Cloud with AWS IoT Core

Raw data from IoT devices, like GPS trackers or electronic logging devices (ELDs), often lacks meaning on its own. However, if combined with information from other business systems, such as inventory management or customer relationship management (CRM), this data can now provide a richer, more complete picture for more effective decision-making. For example, combining GPS data with inventory levels can optimize logistics and delivery routes.

What's New: New Apache Iceberg Features Ease the Pain Of Managing Your Data Lake

Are you struggling with the challenges of managing your data lake as you strive to address issues ranging from security headaches to troubleshooting complex pipelines? This BUILD 2024 session addresses those challenges with a look at how Snowflake makes it easier to onboard Apache Iceberg into your data lake. The session dives into new features that simplify security, streamline data ingestion and transformation, and enhance integration with your existing tools. You’ll also see how Snowflake provides enterprise-grade redundancy to the data lakehouse architecture, making it easier for teams to work together globally.