We explain in this article how IOPlane™ for Cloud can enable a hybrid cloud architecture where OLTP (On-line Transaction Processing) systems are running on-premise while Analytics runs on cloud. We foresee the possibility that customers may run workloads which involve high IOPs (e.g. RDBMS updates) on-premise while leveraging the public cloud for Big Data Analytics….
In the previous article, we talked about connecting data and analytics in a cloud first world. In this article, we will talk about a simple data integration workflow to the cloud. The workflow shows how IOPlane™ for Cloud can make leveraging the power of cloud for analytics highly simple. Consider that you have a bunch…
The technology industry is a good training ground to test your astrological skills, because there is so much of a suspense element here, and even the best technologists get surprises. Today we have a situation where it’s difficult to say which and what percentage of workloads will be on-premises and which will land up on…
Analytics today is a necessity that has re-defined traditional ways to make decisions by enabling making inferences from massive amount of relational as well as non-relational data sources. Augmented analytics is a next-generation data and analytics paradigm that uses ML to automate data preparation, insight discovery and insight sharing for a broad range of business…
In the last few blogs we have discussed variety of analytics related problems, edge-side processing & use-cases. The kind of data that we talked about was primarily unstructured data – one without schema like video, audio, images, social media texts, docs etc. This data keeps on growing as we all know thereby resulting in the…
This is becoming more real. Here Coolness of Edge & Hotness of Cloud refers to the tax in terms of Cost we need to incur to get the capabilities of Smart Edge & Smart Cloud. Let me expand Tax part here with an example. I’ve taken variable cost into account here given the scale we…
We can have complimenting capabilities using Smart Cloud & Edge technologies powered by Machine Learning (ML)/Deep Learning (DL)/Smart Algorithms to assist, extend & enrich 5 basic human senses’ capabilities even further. We can call such capabilities as digitized (electronic) version of human senses. Let’s restrict to fundamental 5 human senses here – Vision, Hearing, Taste,…
I chose the title of this blog consciously. It really means “-1” (minus 1) click! Think of it as a metaphor for our Cloud & Edge use-cases. Let me give an analogy here – Traditionally we have following 2 highly optimized no of clicks paradigms when it comes to solving automation problems – here you…
We are at an interesting juncture for Edge services getting platforms to become more intelligent! One recent example of this is Google’s TPU (https://cloud.google.com/edge-tpu/) on edge giving us capability to do AI! Other great examples are – AWS Greengrass (https://aws.amazon.com/greengrass/) enabling us to run compute, caching, ML capabilities for edge side computing, as well as…