Emerging Data – Data that expands every second
A data science perspective
The world of Big Data has come a long way in the past few decades. The amount of data being generated and collected every day is staggering, and it’s growing by leaps and bounds. And it’s not just the volume that is important: there’s also the rate at which new data is emerging, which was traditionally known as “velocity.” These two factors are essentially how we measure the value of any given dataset. If you are interested to learn more about data science, you can check out best Data Science courses in Kochi.
Big Data and the Information Revolution by Jamie Shotton
The data mining and machine learning community has a new name: Data Science. This is due to all the data being “mastered” by both humans, and computer algorithms, so that we can develop better models for predicting future events. Data Science is quickly becoming the programming language of choice for both big companies like Google, and startups looking to take advantage of the massive amounts of data.
What is next for the Data Science Community?
The advent of new data sources, and the wealth of historical data, has given rise to a new area in data science called Time Series Analysis. This field can be used to predict future events by modeling historical trends into the future. For example, you could use a time series to see how many cars were sold at a given dealership this year compared to last year. You could then use this information to plan how many cars versus trucks you will sell next year.
Another example would be predicting what the weather will be like in your neighborhood over time. Netflix also uses Time Series Analysis when planning their movie trailers. They use historical data to predict what movies their viewers will like, so they can plan their marketing strategy. This data can also be used to predict what the demand for a certain type of car will be in a few year’s time.
Big Data has opened up new doors
Big Data has opened up new doors that weren’t available before, allowing us to gain valuable insights from huge amounts of information. The question is, how much data do we really need? Here, we only discussed some facts about job opportunities in data science and artificial intelligence. If you want to learn more about data science and AI, you can check out Data Science training in Kochi.
