by edvorkin | Jan 1, 2015 | BigData, Blog
Definitely 2014 was a year of Big Data. But with all the new development in Big Data, I almost missed on one very important new trend in the industry. I think it will change the way we build, deploy and package software – will be it Big Data frameworks, web...
by edvorkin | Oct 11, 2014 | Architecture, BigData, Blog, Java
When working with large volume of data memory and space requirement could be very high. This in turn have effect on scalability, when suddenly your job or process either taking too long or requires more resources. Probabilistic data structure allow you to trade some...
by edvorkin | Sep 30, 2014 | BigData, Blog, Storm
Our latest meetup, Storm vs Spark face-off, was a big hit among Big Data engineers in New York. Slides from our meetup and from Hadoop User Group in Chicago presented on this page. I hope both of those presentations will help you make better choice for your use case...
by edvorkin | Sep 28, 2014 | BigData, Blog, Storm
“Big Data Analytics Beyond Hadoop: Real-Time Applications with Storm, Spark, and More Hadoop Alternatives” is a new book by Vijay Agneeswaran on the topic of Big Data. Author provides foundation why Hadoop, especially Map-Reduce computational model is not...
by edvorkin | Jun 4, 2014 | Blog, Cloud Computing
Micro-service architecture present a set of challenges that need to be addressed. Those include: 1. Operational overhead. Now instead of single monolithic application you have to : Deploy many small micro-services Monitor many small micro services. Provision hardware...
