IoT, Big Data and Advanced Analytics

Big Data => System of Intelligence built using Kafka, Spark & Hadoop
IoT => Edge Analytics
Advanced Analytics => Descriptive -> Predictive -> Prescriptive


Spark,Kafka & Hadoop


IoT & Machine Intelligence


Advanced Analytics

Approach

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

Old world use of Big Data vs new world use

We get this question all the time that whether our clients are using big data technologies for old-world ETL/ELT type use-cases or to find new insights. There is no straight answer to it as you guess but it is getting better. Most of the clients want to experience low-latency part of big data on More

Big Data and Legacy

It is very important not to forget legacy application when it comes to a big data project. Legacy is as important to the success of big data project as are new use cases. More

Spark GraphX Neighborhood Aggregation

Let's try to understand neighborhood aggregation with a simple example. Let's say there is a social network like facebook but knows far more than facebook. One which knows what is the salary of each member. More

Serialization frameworks demystified

Before getting into the details of different serialization formats like Avro, Thrift and Protocol Buffers, Let's try to see why we need serialization. Since computer science concepts are boring, let's start with an analogy and then we can get back to the tech. Lets start with a hypothetical teleport project. The goal is to send More

The Juggernaut of Public Cloud

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 More

Latency, NoSQL and the future of checkponting

Over last 6 months streaming workflows have become central to Spark. One of the  More

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