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Introduction to Kafka and MongoDB Integration

Perficient

Introduction: Apache Kafka is a distributed streaming platform that enables businesses to build real-time streaming applications. Kafka can process and transmit massive amounts of data in real-time, and its design ensures fault tolerance, scalability, and high availability. Kafka utilizes a pull-based model for consumers.

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Advanced Testing Techniques for Spring Kafka

Confluent

Apache Kafka®. All of these share one thing in common: complexity in testing. This is the final blog […]. Asynchronous boundaries. Frameworks. Configuring frameworks. Now imagine them combined—it gets much harder.

Testing 98
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Fraud Detection with Cloudera Stream Processing Part 1

Cloudera

In a previous blog of this series, Turning Streams Into Data Products , we talked about the increased need for reducing the latency between data generation/ingestion and producing analytical results and insights from this data. This blog will be published in two parts. This is what we call the first-mile problem.

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Using Apache Superset to Visualize PostgreSQL JSON Data (Pipeline Series Part 7)

Instaclustr

In the last installment of the pipeline blog series , we explored writing streaming JSON data into PostgreSQL using Kafka Connect. In this blog, it’s time to find out if our fears of encountering mutant monsters in the gloom of an abandoned uranium mine were warranted or not. What Is Apache Superset? Approach 1.

Data 97
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Simplify Metrics on Apache Druid With Rill Data and Cloudera

Cloudera

Cloudera has partnered with Rill Data, an expert in metrics at any scale, as Cloudera’s preferred ISV partner to provide technical expertise and support services for Apache Druid customers. We want Cloudera customers that rely on Apache Druid to know that their clusters are secure and supported by the Cloudera partner ecosystem.

Metrics 82
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Upgrade Journey: The Path from CDH to CDP Private Cloud

Cloudera

They have dev, test, and production clusters running critical workloads and want to upgrade their clusters to CDP Private Cloud Base. Support Kafka connectivity to HDFS, AWS S3 and Kafka Streams. Cluster management and replication support for Kafka clusters. The customer is a heavy user of Kafka for data ingestion.

Cloud 130
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Machine Learning with Python, Jupyter, KSQL and TensorFlow

Confluent

The blog posts How to Build and Deploy Scalable Machine Learning in Production with Apache Kafka and Using Apache Kafka to Drive Cutting-Edge Machine Learning describe the benefits of leveraging the Apache Kafka ® ecosystem as a central, scalable and mission-critical nervous system.