The collection encompasses various aspects of real-time data processing, primarily focusing on the integration of Apache Flink with other technologies like Kafka and NiFi. It includes discussions on optimizing data pipelines, utilizing SQL for stream processing, and leveraging machine learning and AI in different contexts, such as financial services and generative AI applications. The materials provide practical insights, case studies, and technical guidance on building robust streaming applications and managing data flows efficiently across various industries.
apidays Singapore 2025 - Streaming Lakehouse with Kafka, Flink and Iceberg by Zabeer Farook (CACIB)
ODSC - Batch to Stream workshop - integration of Apache Spark, Cassandra, PostgreSQL, Redpanda, Debezium, and Benthos to master building advanced real-time data pipelines.
