Big Data is not yet perceived as a commodity yet- Raj Neravati

Testlets talk about consumer partitioning, social indexing, and data mutation. When an organization is implementing Big data, Cigniti can partner with them as an independent testing partner.
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Hyderabad, India (prHWY.com) March 29, 2013 - BANGALORE, INDIA: In Big Data, most organizations err in choosing the right set of data and deriving the right value from analyzing the patterns. That is where Cigniti Technologies comes in. Adopting the new concept of Testing in production (TIP), it guides organizations in performance and security.

In an interaction with Deepa Damodaran of CIOL, Raj Neravati, COO, Cigniti Technologies, tells why the company see high potential in social media platforms, retail industries, and insurance industry.
CIOL: What are Cigniti's offering for Big Data?
Raj Neravati: Cigniti is an IP-led testing services company. Cigniti is also embracing Big Data. We have created a service offering around Big Data known as Big Testing. Similar to Applets and Servlets in the Java 2 JEE world, Cigniti has something called Testlets.

These Testlets are pointed solutions. Testlets talk about consumer partitioning, social indexing, and data mutation. When an organization is implementing Big data, Cigniti can partner with them as an independent testing partner.

CIOL: What is the scenario with regards to Big Data testing in India?

Raj Neravati: A lot of organizations are looking at Big Data because they want to become smart in their service offerings.
Airline industry is using Big Data analytics to study consumer behaviour pattern to know what is making the latter to buy or become loyal to a particular brand. The scope of Big Data in retail industry is also very large. Similarly, banks are also trying to utilize and implement Big Data.
Data has become very critical in decision making. We can help organizations to understand whether they are looking at the right data sets or not. Along with the three Vs that the industry associates with Big Data, Cigniti also introduces the fourth V that is 'value'.

We understand that organizations want to use the volume to test the data, they need diversified data and they need the velocity at which computing can happen. It is very important to note whether the patterns you are analyzing are providing the right value or not.

Testing in production (TIP) is a new concept that we have embraced. Today none, not even the Facebook or LinkedIn, from the social media industry has investment so that they can define all scenarios in QA and then enable production. Instead, they started doing testing in production. They make sure that they leave some meaningful code in production which gains all the intelligence and analytics and understands the consumer behaviour.

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Tag Words: independent testing, testing, quality assurance, software testing, bigdata testing
Categories: Software

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