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Tag: change data capture

Tutorial: SQL-Based Stream Processing for Apache Kafka with In-Memory Enrichment

In this series of blog-based tutorials, we are guiding you through the process of building data flows for streaming integration 

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Tutorial: Real-Time Database Integration with Apache Kafka via Change Data Capture

In this series of blog-based tutorials, we are going to step you through the process of building data flows for 

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Take Apache Kafka to the Next Level

Apache Kafka has become the de facto standard for providing a unified, high-throughput, low-latency platform for handling real-time data feeds.  

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Striim CTO Pens Data Modernization Article for Datanami

Today, we’re happy to share that Datanami published an article written by Striim’s very own CTO, Steve Wilkes! The piece 

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Aragon Research Highlights Striim as a 2017 Hot Vendor in Streaming Analytics

We are excited to announce that Striim has been recognized by Aragon Research as a 2017 Hot Vendor in Streaming 

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Introducing Hazelcast Striim Hot Cache

Today, we are thrilled to announce the availability of Hazelcast Striim Hot Cache. This joint solution with Hazelcast’s in-memory data grid 

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Striim Integrates with Google BigQuery

Enables easy ingestion, change data capture, processing and delivery to BigQuery As companies move toward hybrid cloud infrastructures, they need 

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Striim Sponsors Oracle OpenWorld in SF, Sept. 19-21

Striim is proud to be a sponsor at Oracle OpenWorld 2016 at Moscone Center in San Francisco, September 18 – 21. Come by 

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Striim 3.6 Feature Deep Dive: Change Data Capture Wizards

When working with change data capture (CDC), it’s not always obvious whether everything is properly set up. If you’re capturing change 

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Making In-Memory Computing Enterprise-Grade – Part 6: Integration

This integration post is the final blog in a six-part series on making In-Memory Computing Enterprise Grade. Read the entire 

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