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:
Post a Comment