It is really confusing when you read about the Data Science and its technologies; If found very helpful information from Forbes Magazine and DataCentral Websites.
Gil Press posted a list of top 10 hot big data technologies in Forbes Magazine. The technologies being featured as hot were:
- Predictive analytics
- NoSQL databases
- Search and knowledge discovery
- Stream analytics
- In-memory data fabric
- Distributed file stores
- Data virtualization
- Data integration
- Data preparation (automation)
- Data quality
DataCentral website wrote the article on it and mentioned the hottest technologies as they know are the hot one:
- Adapting modern predictive algorithms to a distributed architecture
- AI (pattern recognition)
- Deep learning (the interection of AI and machine learning)
- Data science automation
- Leveraging data from sensors (IoT)
- Turning unstructured data into structured data, and data standardization
- Blending multiple predictive models together
- Intensive data and model simulation (Monte-Carlo or Bayesian methods), to study complex systems such as weather, using HPC (high performance computing)
What do you think are the hottest technologies now? Do you agree with Gill & Vincent Granville?
References:
https://www.forbes.com/sites/gilpress/2016/03/14/top-10-hot-big-data-technologies/#4f0b566565d7http://www.datasciencecentral.com/page/search?q=2016+predictions
https://www.forbes.com/sites/gilpress/2016/03/14/top-10-hot-big-data-technologies/#4f0b566565d7http://www.datasciencecentral.com/page/search?q=2016+predictions
