Tag: change data capture

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 22, 2019 | by Edward Bell

Setting Up Streaming ETL to Snowflake

Snowflake, the data warehouse built for the cloud, is designed to bring power and simplicity to your cloud-based analytics solutions, especially when combined with a …

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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 9, 2019 | by Irem Radzik, Ryan Siss

Load Data to Snowflake in Real Time

The ability to load data to Snowflake in real time greatly expands the operational use cases for this cloud-based data warehouse. Built for the cloud, …

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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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November 29, 2018 | by Steve Wilkes

Streaming Data Integration to AWS

As businesses adopt Amazon Web Services, streaming data integration to AWS – with change data capture (CDC) and stream processing – becomes a necessary part …

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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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November 5, 2018 | by Irem Radzik

The Inevitable Evolution from Batch ETL to Real-Time ETL (Part 1 of 2)

Traditional extract, transform, load (ETL) solutions have, by necessity, evolved into real-time ETL solutions as digital businesses have increased both the speed in executing transactions, …

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October 25, 2018 | by Irem Radzik

Streaming Data Integration for Hadoop

With Striim’s streaming data integration for Hadoop, you can easily feed your Hadoop and NoSQL solutions continuously with real-time, pre-processed data from enterprise databases, log files, …

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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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