Blog

Tag: real-time data

April 16, 2019 | by Ryan Siss

Striim Announces Strategic Partnership with Snowflake to Drive Cloud-Based Data-Driven Analytics

We are excited to announce that we’ve entered into a strategic partnership with Snowflake, the data warehouse built for the cloud, in which Striim will …

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January 16, 2019 | by Steve Wilkes

Continuously Move Data to Snowflake

Enterprises must continuously move data to Snowflake to take full advantage of this data warehouse built for the cloud.  You chose Snowflake to provide …

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January 8, 2019 | by John Myers, Guest Blogger

Taking Advantage of Streaming Events via Hybrid Cloud Deployments

Hybrid Cloud deployments, utilizing the capabilities of streaming integration, enables a competitive advantage for organizations. Data-driven organizations with designs on developing and maintaining competitive advantage …

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December 19, 2018 | by Irem Radzik

5 Advantages of Real-Time ETL for Snowflake

If you have Snowflake or are considering it, now is the time to think about your ETL for Snowflake. This blog post describes the advantages …

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December 18, 2018 | by John Myers, Guest Blogger

Why Hybrid Cloud Requires Enterprise-Grade Streaming

Today, we are discussing why hybrid cloud and hybrid IT infrastructures require not just streaming data integration, but enterprise-grade streaming data integration. While streaming integration …

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November 8, 2018 | by Irem Radzik

The Inevitable Evolution from Batch ETL to Streaming ETL (Part 2 of 2)

Following on from Part 1 of this two-part blog series on the evolution of the traditional batch ETL to a real-time streaming ETL, I would …

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October 23, 2018 | by Irem Radzik

Move Real-Time Data to Cloudera Using the Striim Platform

In this blog post, we’re going to take a look at how you can use the Striim platform to move real-time data to Cloudera from …

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September 13, 2018 | by Steve Wilkes, Ryan Siss

Using Streaming Integration to Drive Real-Time Analytics in Apache Kudu

Apache Kudu was created, as part of the Apache Hadoop family, to enable fast analytics on fast data. But how exactly do you provide analytics …

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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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July 23, 2018 | by Ryan Siss

Striim Attending Google Next in San Francisco, July 24-26, 2018

We are excited to announce that Striim will be exhibiting at the Google Next San Francisco at the Moscone Center from July 24-26, 2018! Please …

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