In the first post of this two-part series, we demonstrated how to use Striim’s ability to collect, integrate, process, analyze and visualize large streaming data …
In this post, we demonstrate how to use Striim to monitor network traffic, and showcase Striim’s ability to collect, integrate, process, analyze and visualize large …
Striim’s Real-Time Data is for Much More Than Just Analytics article was originally published on Forbes. The conversation around real-time data, fast data and streaming …
All businesses rely on data. Historically, this data resided in monolithic databases, and batch ETL processes were used to move that data to warehouses and …
While the typical conversation about Azure hybrid cloud architecture may be centered around scaling applications, VMs, and microservices, the bigger consideration is the data. Spinning …
We are proud to announce that Striim has received two 2019 best places to work awards in the Bay Area by three highly regarded local …
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 …
There are several change data capture methods that have been in-use for decades, each with its own merits depending on the use case. In high-velocity …
By delivering high volumes of data using Microsoft SQL Server CDC to Kafka, organizations gain visibility of their business and the vital context needed for …
The integration and analysis of data from both on-premises and cloud environments give an organization a deeper understanding of the state of their business. Real-time …
The scalable and reliable delivery of high volumes of Kafka data to enterprise targets via real-time Kafka integration gives organizations current and relevant information about …
