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Big Data Analytics & IoT in 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


  • Approach

  • Cloud

  • Analytics

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.

 

Implementation in Cloud

Cloud environments provide flexibility and agility which bring initial ramp-up time drastically. We help clients optimize Spark clusters on various cloud environments like AWS and Microsoft Azure. It includes various aspects like security, manageability and data governance.

On-premise Implementation

For clusters of significant size, on-premise installation works out better than cloud. We help clients install and fine-tune Spark clusters in on-prem environments.

Our team of experts can help you process data using Spark and its libraries, so that you can derive actionable insights that improve your business.

Eureka or Enlightenment Phase

The promise of Big Data lies in being able to make more informed decisions – to increase sales, decrease costs or execute your mission more efficiently. Our Big Data analytics provide useful insights that until now could only be suggested by sampling or were completely invisible.

Visualize your way to insights

The insights you need are buried in huge amounts of fast-moving data in a variety of data types. Staring at raw data is not only often inefficient but can be also very boring. Humans believe in the power of stories; and the moment you start visualizing data, it starts telling stories.

We have expertise in all industry leading visualization tools like Tableau, Datameer and Qlikview. We can also help you create custom dashboards which provide tailor-made visualization interface.

Here are some examples of custom visualization.

From Our Blog

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 beginning, has been confusing term, at ... More

2016 - The Year of Fast Data

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

Streaming-first In-Memory Dataware House

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

Who is eating whose lunch?

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

Integrating Enterprise Data with Big Data

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: Apache Spark

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