03
02. 2013
Solving Data Integration Challenges with SQL and NoSQL Webinar
I’ve added a new webinar to the presentations page. This one is called “Solving Data Integration Challenges with SQL and NoSQL” and will be on March 6.
In the real world, it’s very rare to find an enterprise architecture one flavor; they are mostly comprised of a mash-up of technologies including SQL databases, columnar databases, cloud-based appliances and Hadoop, to name just a few. The adage “right tool for the right job” resonates clearly across many IT infrastructures.
In this one-hour webinar, I will offer advice on an architectural approach to analytics, including reasons why organizations might be better able to achieve success with hybrid architecture.
shailesh bhaskaran
Hi! William, Today’s webinar was quite informative. Unfortunately I could not logon to webinar on web but was able to listen through your presentation. One of the questions which I could not ask was, do you think organizations will move their legacy/mainframe batch workloads to Big data environment thus bringing hadoop & related technologies to more mainstream operational processing rather than just analytics. Especially the day to day operational workloads related to data processing, transformation (sorting, reformatting etc.) and which are CPU intensive, long running & expensive.
admin
I do not think we will see mainframe based workloads migrating to big data environments. There will be some, but not many UNIX-based workloads moving to Hadoop. Hadoop is mostly net additive capabilities to an organization. Few legacy mainframe platforms would be capturing big data today. If at all, the data would be samples and/or discarded quickly. Moving to the capabilities of Hadoop would essentially be a new workload. I also don’t think Hadoop is meant to move outside of analytics – or at least post-operational – data. There are other NoSQL technologies to support operational workloads – those built as key-value, document or column stores.
I don’t think any of this will inhibit bringing Hadoop more mainstream since it addresses key requirements of organizations today. The data pie is only expanding and creating room for many forms of storage.