![Berlin](https://www.flink-forward.org/hs-fs/hubfs/Flink%20Forward%20assets/FF%202024/Images/Berlin.webp?width=777&height=525&name=Berlin.webp)
Schedule
This year, Ververica and the Apache Flink Community have a lot to celebrate, including the 10 year anniversary of Apache Flink.
By popular demand, Flink Forward Berlin 2024 has been extended to a 4-day program to accommodate the festivities!
Optionally, join the expert-led, 2 days of in-person Apache Flink Bootcamp or the Deep Dive Masterclass Program, followed by 2 full conference days.
There are four Masterclass Deep Dives ; they are broken into two tracks and participants will be randomly assigned a track to follow ensuring you don’t miss a thing! They are:
- Apache Flink: From Data to Intelligence
- Flink SQL Origins and Future: Insights from the Original Creator
- Bridging Data Silos with Flink CDC
- Evolving to a Streaming Lakehouse with Apache Flink
Check the agenda for full details.
The main event includes 2 days packed with exciting content, including sessions selected by the Program Committee and presented by Apache Flink community members in-person from around the world.
News
VERA Blog Series Part 3: Full Stream Ahead!
Explore the key features, benefits, and impressive performance metrics that VERA, the cloud native engine revolutionizing Apache Flink contains in this final installment of the 3-part blog series.
VERA Blog Series Part 2: Under the Hood: VERA's 3 Core Pillars
Discover VERA, the cloud-native engine revolutionizing Apache Flink. Explore its core pillars: Streaming Data Movement, Real-time Stream Processing, and Streaming Lakehouse.
VERA Blog Series Part 1: From Steam to Stream
Welcome to Part 1 of VERA: The Cloud Native Engine Revolutionizing Apache Flink® 3-part blog series. Discover how VERA optimizes and modernizes Flink for high-performance stream processing.
Deep Dive Masterclass
Track 1
Track 2
Day 1
Morning session
Day 1
Afternoon session
Day 2
Morning session
Deep Dive Masterclass Trainers
Recently, he mainly focuses on Apache Paimon, a unifying streaming and batch lake storage.
With a background primarily in engineering leadership and entrepreneurship, Ben has extensive experience building and managing engineering teams across various sectors, including logistics, gaming, and mobile applications. His expertise lies in developing solutions centered around real-world interactions, particularly in areas such as GPS-based technologies, augmented reality, and multi-user collaboration.
Outside of his professional life, Ben is an avid technology enthusiast. He enjoys playing and creating video games and trading cards. Ben balances his career with family life, being a father to two young children and a caretaker to three pet ducks.
After obtaining his PhD in Computer Science in the field of stream processing at Politecnico di Milano, Lorenzo worked at InfluxData developing languages and runtimes for processing time series data. He also worked at Huawei Technologies (Munich Research Center) as a research engineer in the field of object storage cloud services.
His main interest lies in distributed systems for data processing, storage, and retrieval.
Software Engineer at Flink Engine team in Ververica taking part in providing core Flink and Connectors features to Ververica Cloud and Ververica Platform users, previously at AWS Managed service for Flink.
Ververica Bootcamp Program
The Ververica Bootcamp Program is an intensive training initiative that transforms Apache Flink users into proficient data processing professionals. By translating complex Flink concepts into practical exercises rooted in real-world scenarios, we empower participants to tackle their toughest data challenges. Leveraging Ververica Cloud services, participants gain a deep understanding of Flink and learn to optimize the scalability and efficiency of their cloud-based solutions. This program is not just about learning; it’s about mastering Apache Flink and leading the future of data processing.
Level Up Your Stream Processing Skills
This intensive, 2-day face-to-face program is designed for Apache Flink users with 2-4 years of experience who want to take their skills to the intermediate level. We'll delve into advanced Flink concepts and techniques, empowering you to build and deploy highly scalable and efficient real-time data processing pipelines. Leveraging Ververica Cloud services, you'll gain a deeper understanding of Flink and explore best practices for production deployments.
Target Audience:
Apache Flink users with 2-4 years of experience who are comfortable with core concepts and want to become proficient in advanced functionalities.
Key Topics
- Advanced Windowing Operations
- Time Management Strategies
- State Management Techniques
- Serialization Optimization
- Exactly Once Processing
- Fault Tolerance
- Enrichment Techniques
- Scalability Optimization
- Flink SQL Functions
- Table API Features
- Workflow Design
- Using Paimon Effectively
Learning Outcomes
Master Advanced Windowing Operations in Apache Flink:
- Understand and implement session windows, tumbling/sliding windows with triggers, and time management strategies (Event Time, Processing Time, Ingestion Time).
Optimize State Management for High Performance in Flink Applications:
- Apply advanced state management techniques including state partitioning and RocksDB integration.
- Optimize state size and access patterns for enhanced performance.
Improve Workflow Performance via Advanced Serialization Techniques:
- Learn how to reduce time spent serializing and deserializing data, for data sources and sinks (connectors), and over the network.
Deep Dive into Exactly-Once Processing and Failure Recovery:
- Understand the differences between at-least-once, exactly-once, and exactly-once end-to-end. Learn how to effectively use exactly-once processing when faced with bad data, infrastructure failures, and workflow bugs.
Develop Complex Real-Time Pipelines:
- Build a workflow that processes a continuous stream of events to generate both dashboard and analytics results.
- Learn how best to enrich data from a variety of data sources.
- Optimize complex workflows using pre-filtering, pruning, async I/O, broadcast streams, parallel partial enrichments, and other techniques.
Use Flink SQL & Table APIs to Implement Workflows:
- Utilize the advanced functionalities of Flink SQL, including UDFs and Table Functions, and master the Flink Table API for unified data transformations and real-time analytics.
- Compare and contrast the resulting workflow with the Java API.
Designing Optimized Workflows:
- Learn about situations where splitting a workflow into multiple components improves efficiency and reduces operational complexity.
- Learn how to use Paimon as an efficient and low-overhead data bridge between workflows.