Blog

March 6, 2019 | by Katherine Rincon

CDC to Snowflake

Let’s take a moment to discuss why Change Data Capture or CDC to Snowflake is quickly becoming the preferred method of loading real-time data from …

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March 4, 2019 | by Steve Wilkes

19 For 19: Technology Predictions For 2019 and Beyond

Striim’s 2019 Technology Predictions article was originally published on Forbes. With 2018 out the door, it’s important to take a look at where we’ve been …

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February 28, 2019 | by Ryan Siss

Striim Recognized on FORTUNE’s “2019 Best Workplaces in the Bay Area” List

We are excited to announce that Striim has been recognized as a “Best Workplace” on FORTUNE’s “2019 Best Workplaces in the Bay Area” list. Striim …

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February 12, 2019 | by Steve Wilkes

6 Best Practices for Real-Time Data Movement and Stream Processing

What are some of the best practices for real-time data movement, and for the stream processing necessary to give the data real value?  Streaming integration …

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February 7, 2019 | by Katherine Rincon

Continuously Move Data to Amazon Redshift via AWS Marketplace

Striim’s New Metered Cloud Solution for Streaming Data Pipelines to Move Data to Amazon Redshift Now Available in the AWS Marketplace   We are delighted …

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February 6, 2019 | by Steve Wilkes

Rapid Adoption of Azure Database for PostgreSQL

You want to move to Azure Database for PostgreSQL, but much of your data may currently be elsewhere – locked up on-premises in Oracle, MySQL, …

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January 31, 2019 | by Irem Radzik

Continuous Data Movement and Processing for Hybrid Cloud

Striim enables continuous real-time data movement and processing for hybrid cloud, connecting on-prem data sources and cloud environments, as well as bridging a wide variety …

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January 29, 2019 | by Irem Radzik

Streaming Integration to Azure Cosmos DB

Real-time integration to Azure Cosmos DB enables companies to make the most of the environment’s globally-distributed, multi-model database service. With Striim’s streaming integration to Azure …

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January 23, 2019 | by Irem Radzik, Ryan Siss

Streaming Integration to Azure

To adopt modern data warehousing, advanced big data analytics, and machine learning solutions in the Azure Cloud, businesses need streaming integration to Azure. They need …

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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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