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Introducing Live Data Products with Quick

Introducing Live Data Products with Quick

Quick streamlines the development of Live Data Products. It is open source and lets developers focus on data.
Go to the profile of Christoph Böhm
Christoph Böhm
Scalable Machine Learning with Kafka Streams and KServe

Scalable Machine Learning with Kafka Streams and KServe

In this blog post, we demonstrate how to combine state-of-the-art stream data processing with modern ML on Kubernetes.
Go to the profile of Jakob Edding
Jakob Edding
Optimizing Kafka Streams Apps on Kubernetes by Splitting Topologies

Optimizing Kafka Streams Apps on Kubernetes by Splitting Topologies

Understanding Kafka Streams processor topologies can be essential to reduce costs and improve complex applications’ manageability
Go to the profile of Victor Künstler
Victor Künstler
Conversational Search in Knowledge Bases using NLP/NLU and Chatbots

Conversational Search in Knowledge Bases using NLP/NLU and Chatbots

Conversational AI becomes increasingly popular in the form of chatbots, especially as a means of quick information access.
Go to the profile of Emanuel Metzenthin
Emanuel Metzenthin
Exploring Data Pipelines in Apache Kafka with Streams Explorer

Exploring Data Pipelines in Apache Kafka with Streams Explorer

When working with large-scale streaming data, it is crucial to monitor your pipelines and to explore their individual parts.
Go to the profile of Salomon Popp
Salomon Popp
Scaling Requests to Queryable Kafka Topics with nginx

Scaling Requests to Queryable Kafka Topics with nginx

In this blog post, we implement custom routing logic in nginx to efficiently scale requests to queryable Kafka topics.
Go to the profile of Torben Meyer
Torben Meyer
Solving my weird Kafka Rebalancing Problems

Solving my weird Kafka Rebalancing Problems

Imagine you are working on your Kafka Streams application. You deploy it to Kubernetes, wait a few hours, and suddenly … What’s happening?
Go to the profile of Benjamin Feldmann
Benjamin Feldmann
Continuous NLP Pipelines with Python, Java, and Apache Kafka

Continuous NLP Pipelines with Python, Java, and Apache Kafka

Advancements in machine learning, data analytics, and IoT, and the business strategic shift towards real-time data-driven decision making…
Go to the profile of Victor Künstler
Victor Künstler
Processing Large Messages with Kafka Streams

Processing Large Messages with Kafka Streams

Kafka Streams is a DSL that allows easy processing of stream data stored in Apache Kafka. It abstracts from the low-level producer and…
Go to the profile of Philipp Schirmer
Philipp Schirmer
Implementing a Queryable User Profile Store using Kafka Streams

Implementing a Queryable User Profile Store using Kafka Streams

In this blog post, we introduce how Kafka Streams can be used to process real time data and expose queryable user profiles.
Go to the profile of Torben Meyer
Torben Meyer
Data Warehousing Made Easy with Google BigQuery and Apache Airflow

Data Warehousing Made Easy with Google BigQuery and Apache Airflow

In this blog post, we share how we take on BI, ELT, and DWH projects using BigQuery and Apache Airflow on Google Cloud Platform (GCP).
Go to the profile of Marcus Baitz
Marcus Baitz
Transparent Schema Registry for Kafka Streams

Transparent Schema Registry for Kafka Streams

Painlessly test Kafka Streams with Avro
Go to the profile of Lawrence Benson
Lawrence Benson
Fluent Kafka Streams Tests

Fluent Kafka Streams Tests

A Java test DSL for Kafka Streams
Go to the profile of Arvid Heise
Arvid Heise
Running R on AWS Lambda

Running R on AWS Lambda

R is still one of the most popular programming languages for data scientists. However, it is fairly hard to integrate R with modern micro…
Go to the profile of Philipp Schirmer
Philipp Schirmer
Queryable Kafka Topics with Kafka Streams

Queryable Kafka Topics with Kafka Streams

In today’s data processing architectures, Apache Kafka is often used at the ingress stage. Usually, this step is used to enrich and filter…
Go to the profile of Robert Schmid
Robert Schmid
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