Tag: Streaming Integration

October 10, 2018 | by Steve Wilkes, Ryan Siss

Google Cloud Data Centers on Real-Time Movement

Adopting the Google Cloud Platform for real-time scaling, analytics or machine learning is important to your business, and as such, your approach to Google cloud …

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September 20, 2018 | by Steve Wilkes

Key Takeaways from Strata NY 2018

Striim both sponsored and exhibited at Strata NY, engaging with industry professionals about emerging technologies and practices in the data community. Based on some of …

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August 28, 2018 | by Steve Wilkes

Streaming Integration: What Is It and Why Do I Need It?

In this blog post, we’re going to tackle the basics behind what streaming integration is, and why it’s critical for enterprises looking to adopt a …

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August 22, 2018 | by Changsha Ma

Operationalizing Machine Learning Through Streaming Integration – Part 1

I recently gave a presentation on operationalizing machine learning entitled, “Fast-Track Machine Learning Operationalization Through Streaming Integration,” at Intel AI Devcon 2018 in San Francisco. …

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April 3, 2018 | by Steve Wilkes

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 and analytics applications using the …

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March 22, 2018 | by Steve Wilkes

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 streaming integration and analytics applications …

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March 16, 2018 | by Ryan Siss

SiliconANGLE’s theCUBE Interviews Striim CTO on Company’s End-to-End Streaming Integration Platform

Earlier this month, in-between booth presentations highlighting the capabilities of the Striim platform at Strata San Jose, Striim CTO Steve Wilkes ventured out of the …

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March 12, 2018 | by Ryan Siss

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.  With a Kafka-based infrastructure in …

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