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 …
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 …
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 …
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 …
Enterprises must continuously move data to Snowflake to take full advantage of this data warehouse built for the cloud. You chose Snowflake to provide …
As businesses adopt Amazon Web Services, streaming data integration to AWS – with change data capture (CDC) and stream processing – becomes a necessary part …
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 …
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, …
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, …
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 …
