- Feature Store as a Foundation for Machine Learning - Feb 19, 2021.
With so many organizations now taking the leap into building production-level machine learning models, many lessons learned are coming to light about the supporting infrastructure. For a variety of important types of use cases, maintaining a centralized feature store is essential for higher ROI and faster delivery to market. In this review, the current feature store landscape is described, and you can learn how to architect one into your MLOps pipeline.
- Why Data and Infrastructure are key to determining Customer Intent,
May 31 Webinar - May 22, 2018.
Join Yieldmo, an advertising technology company and learn how Snowflake and Looker unleashed the potential of their mobile ad engagement data and drove more impactful marketing for their clients.
- Ingram Micro: Data Architect - Dec 19, 2017.
Seeking a talented and highly motivated Architect with 7+ years of experience for our Global Data Infrastructure team, with responsibilities ranging from sustaining current systems to developing the future state of the Enterprise Global Data Infrastructure Architecture framework.
- 5 Career Paths in Big Data and Data Science, Explained - Feb 6, 2017.
Sexiest job... massive shortage... blah blah blah. Are you looking to get a real handle on the career paths available in "Data Science" and "Big Data?" Read this article for insight on where to look to sharpen the required entry-level skills.
- Understanding Modern Data Systems - Jun 2, 2016.
A look at the four characteristics that differentiate data infrastructure development from traditional development, and the key issues to look out for.
- CRN 2015 Big Data Infrastructure Companies - May 28, 2015.
The CRN identifies top 25 big data infrastructure, tools and service companies offering everything from hardware servers, to software platforms and applications, to cloud-based services. The list includes major players in the big data space like Microsoft, Amazon, and IBM!
- 18 essential Hadoop tools - Aug 1, 2014.
Hadoop tools develop at a rapid rate, and keeping up with the latest can be difficult. Here we detail 18 of the most essential tools that work well with Hadoop.