Can domain experts be so happy with a tool that the experience can be likened to nirvana? This provocative question is intended to start a discussion about the features needed to make real-time data products accessible to ordinary (non-technical) people. Zbigniew Małachowski presents his own list of required features. But are they enough to trigger nirvana-like relief?
May 23, 2024
The Nu Blog
Webinar video: Real-time data processing for the people
Abstract:
Acting on data in real time, such as fraud detection, next best action, streaming ML, clickstream analysis, IoT sensor analysis, etc., requires algorithms that are rarely trivial enough to be created with no code: just drag and drop.
In the streaming world, the reason why domain experts find themselves forced to go into deep technical details of Kafka, Flink, Spark, REST, etc is that while many platforms are quite successful in abstracting Kafka, Flink, Spark, etc, they are just simple visual overlays on the (streaming) SQL and do not allow for much more.
There needs to be more to author a serious actions-on-data algorithm.
What features are needed for these tools to truly succeed?
The Nu Blog
Zbigniew Małachowski
Jan 14, 2025
Streaming SQL alternative
Many streaming applications require significant domain knowledge and continuous updates, but SQL is not user-friendly for domain experts
Nussknacker Team
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Real-Time Recommendations: Using Machine Learning in Clickstream Processing Pipeline
Nussknacker simplifies the integration of machine learning models into streaming data processes. Software teams can now build intelligent recommendation systems using Nussknacker, Snowplow, and MLflow.
Arek Burdach
Sep 27, 2024
Using Nussknacker with Apache Iceberg: Periodical report example
Nussknacker now supports Flink catalogs. This means you can use it with Apache Iceberg for tasks like data ingestion, transformation, aggregation, enrichment, and creating business logic. This blog post will show you how to use Nussknacker and Apache Iceberg together for a real-world example
Nussknacker
Business users can create or change decisioninig algorithmss anytime, without any assistance from IT department.
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