The Rise of Data Streaming Engineers | Current 2024
Software Engineer, Bloomberg), Vahid Hashemian (Tech Lead, Pinterest), and Sumedh Sakdeo (Sr. Staff Software Engineer, LinkedIn & Creator of OpenHouse)..
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Confluent Supercharges Apache Flink Offering with New Developer Tools and Enterprise-Ready Security
Confluent adds Table API support for Apache Flink® making it even easier for developers to use Java or Python to build streaming applications. New private networking and encryption features safeguard data streams for enterprises in highly regulated industries.
Introducing Confluent's OEM Program: Deliver Data Streaming Faster and Unlock Revenue Growth
As real-time experiences become integral to everyday life and data-driven technologies like GenAI drive the next wave of innovation, one thing is clear: real-time data is the key to enterprise growth. The Confluent OEM Program empowers MSPs, CSPs, and ISVs to quickly unlock new revenue streams by integrating the industry-leading data streaming platform into their customer offerings.
New in Confluent Cloud: Making Serverless Flink a Developer's Best Friend, Protecting Sensitive Data, and More
The Q3 Cloud Bundle Launch comes to you from Current 2024, where data streaming industry experts have come together to show you why data streaming is critical today, especially in the age of AI, and how it will become even more important in shaping tomorrow’s businesses. This year’s Current event attracted over 2,500 attendees, both in-person and virtual, and featured 140+ learning sessions by industry experts.
Build, Manage, and Monitor Data Streaming Applications, All Within Your Favorite IDE
Today, we’re excited to announce the Early Access Program for Confluent for VS Code! Confluent has integrated support for Visual Studio with Confluent for VS Code that streamlines workflows, accelerates development cycles, and enhances real-time data processing, all within a unified environment.
The Confluent Q3 '24 Launch
The Confluent Q3 ’24 Launch is packed with the new features and tools needed to make stream processing a developer’s best friend. We’re also introducing Client-Side Field Level Encryption, WarpStream, and more! Our quarterly launches provide a single resource to learn about the accelerating number of new features we’re bringing to Confluent Cloud, our cloud-native data streaming platform.
Real-Time Insurance Claims Processing With Confluent
The insurance industry has undergone a massive transformation over the last 20-30 years. Customer service and business processes that were once done on paper or over the phone are now completed via web and mobile experiences. As a result, manual paperwork and tasks have gradually become automated via software solutions. For the insurance customer, this transition has led to faster and more predictable experiences.
New research from Confluent sees IT leaders share their biggest AI implementation challenges
12th September 2024 - Skills shortages are the #1 challenge facing IT leaders looking to implement artificial intelligence in 2024. That's according to research from Confluent, released ahead of this year's BigData LDN event. The research, which surveyed over 500 UK IT leaders, explores the top challenges facing IT departments when it comes to adopting and implementing AI.
Producing Messages With a Schema in Confluent Cloud Console
Imagine you are developing a streaming application that consumes data from a topic that has a defined schema. You are finally ready to test the application and realize you need a way to produce a sample schematized message. What do you do?
Shift left to write data once, read as tables or streams
Shift Left is a rethink of how we circulate, share and manage data in our organizations using DataStreams, Change Data Capture, FlinkSQL and Tableflow. It addresses the challenges with multi-hop and medallion architectures using batch pipelines by shifting the data preparation, cleaning and schemas to the point where data is created and as a result, you can build fresh trustworthy datasets as streams for operational use cases or Apache Iceberg tables for analytical use cases.