The results are in...🥁The 2024 Data Streaming Report is HERE. We surveyed +4K IT leaders around the world to find out how they’re driving up to 10x ROI using data streaming. Inside, learn how streaming data plays a game changing role in: 🤖 Powering AI adoption and business agility 📈 Driving Impressive ROI and benefits 🌟 Maximizing data product adoption 👊 Combatting data challenges This is a must-read for data pros! Check it out now ➡️https://cnfl.io/3x0tTda
Über uns
Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Our cloud-native offering is the foundational platform for data in motion --- designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, our customers can meet the new business imperative of delivering rich, digital customer experiences and real-time business operations. Our mission is to help every organization harness data in motion so they can compete and thrive in the modern world.
- Website
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http://confluent.io/
External link for Confluent
- Industrie
- Software-Entwicklung
- Größe des Unternehmens
- 1.001-5.000 Mitarbeiter
- Hauptsitz
- Mountain View, Kalifornien
- Typ
- Öffentliches Unternehmen
- Gegründet
- 2014
- Spezialitäten
- Apache Kafka, Open Source, Stream Processing, Streaming Data, Event Streaming Platform, and Event-Driven Architecture
Produkte
Confluent Cloud
Event Stream Processing (ESP) Software
Confluent Cloud is the cloud-native service for Apache Kafka®. Connect and process all of your data in real time with a fully managed data streaming platform available everywhere you need it. Try it now for free!
Standorte
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Primäre
899 W. Evelyn Ave
Mountain View, California 94041, US
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1 Bedford Street
London, Greater London WC2E 9HG, GB
Aktualisierungen
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👋 Meet Devesh Dhannawat! Based in Bangalore, Devesh works as an Advisory Solutions Engineer, tackling unique challenges to help our customers power fascinating use cases. Learn more about his life at Confluent in our 🆕 #ConfluentChampions lightning round! Want in? Check out our openings: https://cnfl.io/3nVzhtC
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Generative AI has created a critical need for high-quality and trustworthy data—but it can also help meet that need using data governance. Read Andrew Sellers' article on The New Stack to learn how to put GenAI to work to improve data quality! ⬇️
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“If people ask me what motivates me to do a great job here, I will always say that it is the people around me […] I’m very invested in helping and making sure the team is successful, that their goals are met.” Interested in working with Nikko and his team? We’d love to hear from you! 👉 Join the Platform Engineering team: https://cnfl.io/3XjALwm 👉 Join the Fleet Management team: https://cnfl.io/3Z7aBP3 Learn more about #ConfluentChampion Nikko Bautista’s #LifeAtConfluent below! ⬇️
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Confluent reposted this
Busy yesterday with #internationaldogday? Don't worry. You still have time to register for #current24! Little known fact: dogs LOVE technologies like #apacheKafka and #apacheFlink. And, while you might not be able to bring your furry friend to the conference, you can sign them up for a free streaming pass so they can join the fun! 👇 https://cnfl.io/3Ab1DG4
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Looking for an easy way to get data from Amazon Web Services (AWS) DynamoDB into Confluent? One option is to utilize the fully managed Confluent CDC Source Connector. ▶ ️ Watch our short and dive into the new blog to learn more about this connector, including the full integration steps, here 👉 https://cnfl.io/3T4WdTu
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For #ConfluentChampion Janis H., it's working alongside a team of highly-motivated people that pushes her to perform at her best. Read our latest blog to learn more about Janis and how she’s always learning something new at Confluent. 👉 https://cnfl.io/3Mq3BVy
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“You’re literally going to be in the forefront of change—so it’s a great time to join.” Tune in below to hear from #ConfluentChampion Daniel Levit on his path from Account Executive to Regional Director, his favorite aspects of the role, and what he loves most about his team! ⬇️ Like what you hear? Join our team: https://cnfl.io/3nVzhtC
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The recent #ApacheKafka 3.8 release added a number of new features, including KIP-813: Shareable State Stores, but a lot of people are unclear on how the mysteriously titled feature actually works. In an attempt to correct this, Matthias J. Sax takes a deep dive into the topic in a new Medium blog. You’ll learn: ▸ An alternate name for shareable state stores that may make them easier to comprehend ▸ How fault tolerance works with respect to shareable state stores ▸ Where you, a seasoned Kafka Streams developer, may have seen this functionality before ▸ And more! Read it here ➡️ https://cnfl.io/4fTqgHx
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Learn how Thrivent decoupled data from its core systems to provide faster access to data consumers within the company! On September 5th, join Peter Pugh-Jones, Anandh Asokan from Thrivent, and Matt Schroeder from Improving for an exclusive look at the financial services firm's data transformation journey. Don't miss out—register now: https://cnfl.io/4drOHu9
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