
Vendor » Striim
Features
Big Data Career Notes: March 2023 Edition
In this monthly feature, we’ll keep you up-to-date on the latest career developments for individuals in the big data community. Whether it’s a promotion, new company hire, or even an accolade, we’ve got the details Read more…
Big Data Career Notes: May 2022 Edition
In this monthly feature, we’ll keep you up-to-date on the latest career developments for individuals in the big data community. Whether it’s a promotion, new company hire, or even an accolade, we’ve got the details Read more…
Cloud Migration Is a Boon to Operations. But It Creates a Perfect Storm of Data Challenges
As businesses prepare for the post-pandemic world, now is the best time to understand and modernize their data architectures. The new reality may not exactly go back to business as usual-- remote working, online presence Read more…
Datanami Unveils 2019 People to Watch
As we look forward into 2019, a select group of leaders in Big Data have stepped ahead of the rest. In this fourth annual People to Watch feature, we’re offering our readers a look at some of the best and brightest Read more…
5 Key Data Integration Considerations for Apache Kudu
Apache Kudu was designed specifically for use-cases that require low latency analytics on rapidly changing data, including time-series, machine data, and data warehousing. Its architecture provides for rapid inserts and Read more…
Why 2018 Will Be The Year Of The Data Engineer
The shortage of data scientists – those triple-threat types who possess advanced statistics, business, and coding skills – has been well-documented over the years. But increasingly, businesses are facing a shortage o Read more…
Fueled by Kafka, Stream Processing Poised for Growth
Once a niche technique used only by the largest organizations, stream processing is emerging as legitimate technique for dealing with massive amounts of data generated every day. While it's not needed for every data chal Read more…
Embracing the Future – The Push for Data Modernization Today
There is growing recognition that businesses today need to be increasingly ‘data driven’ in order to succeed. Those businesses that can best utilize data are the ones that can better serve their customers, out-compet Read more…
Streaming Analytics Picks Up Where Hadoop Lakes Leave Off
If phase one of the big data boom was store as much data as your lake will hold, phase two will be about extracting information from the data as quickly as you can. For many organizations, that means using streaming anal Read more…
Cybersecurity Grabs the Big Data Spotlight
For all the good that big data can bring your company, it also introduces certain risks. Thanks to a growing awareness about the importance of cybersecurity as a result of recent high-profile breaches, businesses will ha Read more…
This Just In
PALO ALTO, Calif., Feb. 15, 2022 — Striim, Inc., provider of the leading real-time data integration platform for hybrid cloud, today announced a new, strategic partnership with Hewlett Packard Enterprise (HPE) to combine its platform with HPE NonStop solutions to deliver Striim for HPE NonStop. Read more…
PALO ALTO, Calif., Aug. 4, 2020 –Striim, provider of an enterprise-grade platform for streaming cloud migration and cloud integration solutions, has introduced a broad set of enhancements to its on-premise and cloud marketplace offerings that adds additional cloud targets, provides more detailed visibility into on-going data movement, further enhances ease-of-use, and ensures on-going support for major enterprise data sources. Read more…
PALO ALTO, Calif., June 12, 2020 — Hybrid cloud data warehouse company Yellowbrick Data announced that Striim, provider of an enterprise-grade platform for streaming data integration, has joined the Yellowbrick partner program. Read more…
PALO ALTO, Calif., March 11, 2020 – Striim, provider of an enterprise-grade platform for streaming data integration to the cloud, has introduced a broad set of enhancements to its on-prem-to-cloud data integration offerings that strengthen platform and data security, improve data accountability, speed application development, increase performance, and enable greater flexibility and extensibility. Read more…