2017 – Year of FAST Data

December 31, 2016 Vikas HazratiApache Kafka, Cassandra, Spark, Studio-Scalafast data3 Comments

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As we approach 2017, there is a strong focus on Fast Data. This is a combination of data at rest and data in motion and the speed has to be remarkably fast. In the deck that follows, we at Knoldus present to you how we have implemented a complex multi scale solution for a large bank on the Fast Data Architecture philosophy. As we partner with Databricks, Lightbend, Confluent and Datastax, we bring in the best practices and tooling needed for the platform.

Just think about it, if Google was always indexing and giving you results from the data at rest then you would never be able to Google for breaking or trending news!

As you enjoy the deck below, we would standby to listen from you on your next fast data project. Have a wonderful New Year 2017

Written by Vikas Hazrati

Vikas is the CEO and Co-Founder of Knoldus Inc. Knoldus does niche Reactive and Big Data product development on Scala, Spark, and Functional Java. Knoldus has a strong focus on software craftsmanship which ensures high-quality software development. It partners with the best in the industry like Lightbend (Scala Ecosystem), Databricks (Spark Ecosystem), Confluent (Kafka) and Datastax (Cassandra). Vikas has been working in the cutting edge tech industry for 20+ years. He was an ardent fan of Java with multiple high load enterprise systems to boast of till he met Scala. His current passions include utilizing the power of Scala, Akka and Play to make Reactive and Big Data systems for niche startups and enterprises who would like to change the way software is developed. To know more, send a mail to hello@knoldus.com or visit www.knoldus.com

3 thoughts on “2017 – Year of FAST Data1 min read”

Narayan Kumar says:

January 1, 2017 at 8:59 PM

Reblogged this on knoldernarayan.
Manish Mishra says:

January 2, 2017 at 5:31 PM

Reblogged this on knoldermanish.
Himanshu Gupta says:

January 2, 2017 at 10:45 PM

Reblogged this on himanshu2014.

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