Today we want to talk to you about the importance of data science and engineering professionals nowadays; and the growing demand in the labor market for specialists in these subjects. Professionals who are dedicated to the field of Data have been advising for a long time about the need for this type of profile and about the great job opportunity that it opens up to people who specialize in these matters. Two concepts usually appear in this equation: Data Engineering and Data Science. Continue reading Data Science and Engineering: Check This API and begin to understand the subject.
But what are data science and engineering?
What is Big Data and why is it so important now? What is your relationship with Artificial Intelligence? We will try to explain its context.
The world of computing, as we know it today, has not stopped evolving since its beginnings back in the 30s. Geniuses like Alan Turing and John Von Newman laid the theoretical-physical foundations for what some consider the Third Industrial Revolution. In its early phases, the objective of Informatics was to exploit its computing capabilities to perform complex calculations at reasonable times. These abilities allowed scientific advancement in multiple fields including mathematics, physics, biology, and chemistry.
Harness the value of data
It is useless to process more information, information of a different nature, or more quickly; if with this we do not achieve extra value for our interests. This is where data analytics processes come in. Data Science is a recent concept to group data analysis strategies that draw from different fields; including mathematics, statistics, machine learning, and data mining. Data Science, therefore, is nothing more than a larger corpus called Artificial Intelligence.
Originally, the Big Data concept refers to Software Engineering strategies for the design and implementation of scalable data-intensive systems. Therefore, Big Data focuses on the development of software capable of managing large amounts of data (Volume), data in real-time and/or that needs processing to give a response in real-time (Speed), and data with a diverse structure (Variety).
Big Data
The objective of Big Data is to build the infrastructure that supports horizontal scalability and adequate response times according to the specific project. On these architectures, the analytical data processes will be developed later to extract value from the information. It is the task of Data Science to analyze and apply the most appropriate data exploitation strategies (statistical methods, Machine Learning, etc.) in each situation.
Therefore, we can say that Big Data and Data Science are two complementary fields. There will be Big Data projects where the objective will be to make a system scalable that is currently not scalable and therefore does not require Data Science strategies. There will also be projects where it will be necessary to intelligently analyze certain datasets but the potential of Big Data technologies is not required. And finally, there will be projects where it is necessary to build scalable Big Data systems and apply intelligent Data Science algorithms to these infrastructures to extract the true value of the data.
Check Site Traffic API For A Data Science API
Site Traffic API offers a JSON API to get estimated website traffic statistics. It includes website worth/value and monthly page views, in addition to unique visitors, site revenue (from advertising), and more. Equally important, you can integrate this API into your services to provide traffic statistics to your clients. As well, you can use it to quickly estimate the amount of traffic to any website.
This is a very powerful algorithm that can estimate the amount of traffic to any website. It took years to fine-tune it to be as accurate as possible and we constantly improve it. Powered by SimilarWeb, this website analytics tool can help businesses to estimate the website traffic volume of competitors, while media/advertising agencies and SEO agencies can use it to check the traffic of any website.
Simple Pricing
Site Traffic API offers a “Pay-as-You-Go” plan that allows you to buy only API queries you need, there are no recurring or hidden fees and purchased queries do not expire. When you submit a website, i.e google.com, to the API’s endpoint, it is one API query. So if you need to scan 1000 websites, you need 1000 API queries. The more API queries you buy the less you pay them.
Want to learn more about Site Traffic API?
For additional information on how to take advantage of the Site Traffic API, go to the FAQ on Site Traffic or check Use This Site Traffic API To Measure The Performance Of Your Site
Also published on Medium.