Datorios

🚀 𝐅𝐫𝐨𝐦 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐋𝐚𝐛 𝐭𝐨 𝐑𝐞𝐚𝐥-𝐓𝐢𝐦𝐞 𝐏𝐨𝐰𝐞𝐫𝐡𝐨𝐮𝐬𝐞: 𝐓𝐡𝐞 𝐈𝐧𝐬𝐩𝐢𝐫𝐢𝐧𝐠 𝐉𝐨𝐮𝐫𝐧𝐞𝐲 𝐨𝐟 𝐀𝐩𝐚𝐜𝐡𝐞 𝐅𝐥𝐢𝐧𝐤 🌟 📈 When innovation meets vision, history is made. Starting as Stratosphere in 𝟐𝟎𝟏𝟎, Flink has evolved into the backbone of real-time analytics for the world’s biggest companies. 💡 𝐊𝐞𝐲 𝐌𝐢𝐥𝐞𝐬𝐭𝐨𝐧𝐞𝐬: - 𝟐𝟎𝟏𝟎: Flink began as a research project funded by the EU. - 𝟐𝟎𝟏𝟒: Joined The Apache Software Foundation as an incubator project. - 𝟐𝟎𝟏𝟓: Graduated as a Top-Level Project with a stream-first architecture. - 𝟐𝟎𝟏𝟔: Flink 1.0 was released, introducing Complex Event Processing (CEP) for detecting patterns in real-time data streams and pioneering state management, which solidified its position as a leader in stream-first processing. - 𝟐𝟎𝟏𝟕: Flink 1.3 significantly enhanced the SQL and Table APIs, adding advanced functionality and improving integration, making it more accessible to engineers and analysts. - 𝟐𝟎𝟏𝟖: Flink 1.6 enhanced state management with significant improvements to the RocksDBStateBackend, paving the way for scalable stateful stream processing. - 𝟐𝟎𝟏𝟗: Flink 1.9 brought major updates to Flink SQL and better integration with relational databases. - 𝟐𝟎𝟐𝟎: Unified batch and stream processing into one framework, redefining flexibility. - 𝟐𝟎𝟐𝟏: Delivered performance improvements and expanded Kubernetes support. - 𝟐𝟎𝟐𝟐: Released Flink Kubernetes Operator 1.0.0 and Flink ML 2.0.0, introducing advanced ML capabilities. - 𝟐𝟎𝟐𝟑: Added support for Java 17, enhanced the Adaptive Scheduler, replaced Akka with Apache Pekko, and introduced 25 new features. - 𝟐𝟎𝟐𝟒: Flink 1.19 and 1.20 brought 46 new features, resolved 900+ issues, and set the stage for Flink 2.0, the next major evolution. - 𝟐𝟎𝟐𝟓: The highly anticipated Flink 2.0 will launch, featuring a modernized architecture, improved developer experience, and unmatched scalability for real-time and batch processing. 🏆 𝐆𝐥𝐨𝐛𝐚𝐥 𝐈𝐦𝐩𝐚𝐜𝐭: - 𝟐,𝟔𝟎𝟎+ companies use Flink globally. - Adopted in 𝟓𝟒 𝐜𝐨𝐮𝐧𝐭𝐫𝐢𝐞𝐬, with strong adoption in the US, UK, and India. - Trusted by industry leaders like Apple, Alibaba, Uber, Netflix, and Mercedes-Benz. 🎓 𝐄𝐝𝐮𝐜𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐄𝐧𝐠𝐚𝐠𝐞𝐦𝐞𝐧𝐭: Events like Flink Forward 2024 attracted 𝟒𝟔𝟎+ 𝐚𝐭𝐭𝐞𝐧𝐝𝐞𝐞𝐬 and trained 𝟏𝟓𝟎+ 𝐥𝐞𝐚𝐫𝐧𝐞𝐫𝐬, showcasing the growing investment in Flink’s capabilities. 🌟 𝐓𝐡𝐞 𝐅𝐮𝐭𝐮𝐫𝐞 𝐢𝐬 𝐍𝐨𝐰: With Flink 2.0 on the horizon, the framework promises to redefine real-time data processing with unparalleled flexibility and performance. 💬 𝐖𝐡𝐚𝐭 𝐞𝐱𝐜𝐢𝐭𝐞𝐬 𝐘𝐎𝐔 𝐚𝐛𝐨𝐮𝐭 𝐭𝐡𝐞 𝐟𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐫𝐞𝐚𝐥-𝐭𝐢𝐦𝐞 𝐝𝐚𝐭𝐚 𝐩𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠? 𝐑𝐞𝐚𝐜𝐭, 𝐜𝐨𝐦𝐦𝐞𝐧𝐭, or 𝐫𝐞𝐩𝐨𝐬𝐭 to share your thoughts and inspire others to explore the potential of Apache Flink. #apacheflink #java #dataengineering #realtimedata #streamprocessing #bigdata #innovation #opensource

Managing #DataLineage in #ApacheFlink is like trying to map a maze in real time... In the real-time realm (pun intended), data lineage is a must-have. It makes it possible for data teams to: 1⃣ Understand what datasets a given table / view relies on. 2⃣ Understand what downstream tables/views/ML models will be impacted if you make a change to a table. 3⃣ Troubleshoot data quality issues by checking dependencies. Furthermore, for #ApacheFlink users, tracing the flow of data through complex pipelines is critical to: ▶️ Guaranteeing data accuracy and integrity. ▶️ Debugging issues faster. ▶️ Meeting regulatory and compliance standards. But lineage isn’t just about tracking paths. It’s about bringing transparency and trust into your data processes. That is why {{linkedin_mention(urn:li:organization:74388779|Datorios)}}’ data lineage for Apache Flink, lets you: ▶️ Trace specific records through operators from start to finish. ▶️ Understand the impact of late or discarded events on your pipelines. ▶️ Gain audit-ready insights to boost confidence in your data. Stop relying on guesswork. Start making decisions with clarity. Simplify your data lineage process. And keep the focus on building reliable, impactful data pipelines. Try it here (it’s free) - https://lnkd.in/d9tEYS5U #apacheflink #dataobservability #realtimedata #datalineage

Just in time for #FlinkForward, our hero Artie returns - geared up, visor on, ready for action! The mission is clear: unlock the secrets lurking in the mysterious black box known as #ApacheFlink! In The Nutshell, Issue #3, Artie takes on the complexities of real-time data processing, exploring tools that provide visibility and control over Flink’s most intricate operations. From #checkpoints best practices to the importance of #observability, this issue is packed with insights to help you navigate your Flink-related challenges. Here’s what you’ll find in this edition: ▶️ My Biggest Issue With Apache Flink: #State Is a Black Box – A reflection on managing the complexities of Flink state. ▶️ #Lineage in Flink Part 2: Choosing the Right Tools – A deep dive into tracking data lineage and ensuring quality. ▶️ Flink #Checkpoints: Best Practices – Fault-tolerant data streaming in action. ▶️ #Dockerized Flink, #Kafka, and #PostgreSQL – A practical guide for real-time streaming environments. ▶️ The Murky Waters of #Debugging in Flink - Exploring observability for smoother operations. ▶️ Prepping for #FlinkForward in Berlin – Join us as we showcase the future of real-time data. #apacheflink #dataobservability #datorios

The #Lineage Analyzer for #ApacheFlink is making headlines! 📢 To be honest, we’ve worked tirelessly to get things done on time. A lot of things.. This is why it’s really incredible for us to see how much excitement the #Lineage tool is generating. As always, behind every headline is a team that made it all happen. Huge shoutout to the Datorios R&D and Product teams Avi Hadad Alex Balfur, our US squad Mikayla H. Scott Curtis Mitchell Gray, and to our talented Marketing gang: Yakira Eppel Shmukler, Andy Ellicott, David Templeton. And also, special thanks to Confluent and the #current2024 organizers for giving us the perfect platform to unveil and discuss innovation. And we’re not done yet. In October, we’re going to unveil something extraordinary. Stay tuned! #datorios #current2024 #lineage #dataobservability

Congratulations to Aditya Addepalli from Bloomberg, the first winner of our #DataObservabilityRaffle! 🎁 We're excited to enrich your observability journey both during work hours and beyond (with a GoPro HERO12 Black Action Cam). 🙂 #current2024 #datorios #raffle