Big Data Analytics & IoT in the Public Cloud
Big Data => System of Intelligence built using Kafka, Spark and Hadoop
IoT => Edge Analytics
Public Cloud => No-hassle infinite compute and storage power
Listen to your needs
InfoObjects is your trusted partner in finding which Big Data solution works best for your needs. We are a vendor-neutral, client biased consulting company. Our strong focus is only your use-case and find the best solutions for you.
Resource as a Service
We are there to complement your existing team. Think of it as a hybrid cloud. You approach us when you need additional and advanced help. Like cloud you can scale up and down based on your needs. We understand it is extremely difficult to build expertise in cutting-edge technologies and that’s not your core focus anyway. We take care of technology plumbing for you so that you can focus on delivering value to the business.
Solution as a Service
Sometimes best strategy for you is to completely off-loaded implementation part to us so that you can focus exclusively on business needs. With our center-of-excellence both onsite and offshore, this strategy brings incredible results.
We also advise on cloud hosting.
From Our Blog
For a long time, I was not convinced about the power of the public cloud. Naturally! I, like many others, thought that it was a sideshow, and one which would mostly cater to startups and some medium size companies. However, I discovered I could not be further from the truth. The cloud, from the very beginning, has been confusing term, at ... More
A lot of technologies change so fast that sometimes the name given to them becomes a misnomer. Big data is one such technology. It's no longer big but fast. Most of the enterprises do not have petabytes of data but they have data which moves very fast. In other words out of volume, velocity, variety of big data, the volume ... More
Overview Big Data has reached enough maturity that it is ready to create disruption in the enterprise software industry. The first industry that it is going to disrupt is enterprise data warehousing or EDW. EDW technologies came into foray to separate analytical loads from transaction loads. Since memory used to be expensive until recently, transforming data to make analytics ready required ... More
The evolution of Big Data overlaps with the evolution of The Cloud to a large extent. What both these movements have changed is who gets to eat and who gets to starve. Who means three players here: hardware vendors, software vendors and consulting companies. Let's start with commoditization of hardware. 30 years ago, Microsoft took a bet that hardware will ... More
EMC may not be successful in it's big data strategy but one thing the are successful for sure is coining the term 'Data Lake'. As big data movement is evolving, it's looking more and more like a lake. Gartner in it's most recent hype curve, threw big data out and it created some FUD in market. There were discussion about ... More
Project Tungsten starting with Spark version 1.4 is the initiative to bring Spark closer to bare metal. The goal of project Tungsten is to substantially improve the memory and CPU efficiency of Spark applications and pushing the limits of underlying hardware. In distributed systems, conventional wisdom has been to always optimize network I/O, as that has been the most scarce and ... More