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Posts by: Irem Radzik

June 20, 2019 | by Irem Radzik

Log-Based Change Data Capture: the Best Method for CDC

Change data capture, and in particular log-based change data capture, has become popular in the last two decades as organizations have discovered that sharing real-time …

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May 17, 2019 | by Irem Radzik

What’s New in Striim 3.9.5

What’s New in Striim 3.9.5: More Cloud Integrations; Greater On-Prem Extensibility; Enhanced Manageability Striim’s development team has been busy, and launched a new release of …

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April 18, 2019 | by Irem Radzik

Striim Version 3.9 Expands Cloud Integration, Ease-of-Use

Striim 3.9 expands cloud integration capabilities and ease-of-use to support faster time-to-market for stream data integration applications. In this blog post, I would like to …

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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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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 6, 2018 | by Irem Radzik

Tangible Benefits of Adopting a Real-Time Data Architecture

In a digital world where high volumes of data are generated continuously in a streaming fashion, adopting a real-time data architecture removes the limitations of …

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November 13, 2018 | by Irem Radzik

Real-Time Data Visualization and Data Exploration

When business operations run at lightning speed generating large data volumes and operational complexity abounds, real-time data visualization and data exploration becomes increasingly critical to …

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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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