"No one is harder on a talented person than the person themselves" - Linda Wilkinson ; "Trust your guts and don't follow the herd" ; "Validate direction not destination" ;

September 08, 2020

Data Science how long its going to be there ?

I observe a lot of mad rush on data science from every segment, freshers, experienced. Intentions are more like get into the field, grab an offer. 

  • In 2000, these terms are alien - NoSQL, BigData, Cloud.
  • The technology tools/trends from Twitter, LinkedIn, Facebook gave us Kafka, Lambda architecture, Spark, and more real-time tools evolving in the Big Data Landscape
  • In 2010, the trending things were Hadoop, Bigdata, NoSQL, I have observed this wave translating into Data Lake, Data Platforms
  • Imagenet set the trend for sight on Vision, Plantir many other startups were quietly working on Data Science (Data, Text, Video different components) long before.
  • Now in 2020, You see Data Science, Data Lakes, Cloud, Docker, SAAS, PAAS

In a way these tools simplify a lot of development stack, in the end, the system does run somewhere and the underlying tasks are done by the provider. Data Science will converge into something else. Picking a hot technology may not give you the best returns unless you like what you can do with that technology.

Money is a driver, passion is much more impactful in the long run. 

Keep Thinking!!!

No comments: