Last Updated on: 8th August 2020, 06:39 pm
If you are a data scientist or studying data science, you have to look to the future for your career. If you are unfamiliar with careers in this area, please let them know that the terms big data, data science and data mining have become synonymous with communication between public data, business data, transactions, sensor data and social media, and access to all of data.
The business community around the world, including the telecommunications and IT industries, needs data scientists who can alleviate their big data problems, but getting and studying this most interesting job of the 21st century is not easy.
However, if you are a student, there are some predictions that may come in handy after you graduate.
The world of big data is expected to reach an astonishing 163 zeta bytes or 163 trillion gigabytes by 2025.
The question now is how big a zeta byte is. Estimate that a zetabyte can store approximately 2 billion years of music.
There are many concepts and ideas for implementing big data, but working and analyzing big data is still very difficult and time consuming.
Fortunately, with the speed at which big data technology advances, these difficulties can be reduced in the next three years. For this reason, more and more companies are planning to use big data for future success that’s why they need data scientist.
Demand for data scientist
According to the recently published Harvard Business Review, this is the most attractive job of the 21st century.
There is no denying that the data is converted into currencies (what drives the economy). We are already on this path, but data scientists will drive this car in the future.
From now on, data scientists from leading companies plan to incorporate the data into Quan’s organizational structure, so that more universities and other educational institutions may offer students big data due to opportunities for the future of data science.
In terms of importance, data science is one of the fastest growing areas today.
Data recovery in your language
The most basic prediction for big data is that it will speed up the process of getting information from big data warehousing in a common language by 2021.
When using Tollogue asks questions in plain text, the system answers in plain text and automatically generated diagrams and graphics are displayed.
Easier access to big data for being a data scientist
By 2021, big data will be much more accessible and therefore more profitable. One of the biggest challenges for many companies today is to combine all of this data.
In 2018, creating environments like data lakes and other custom stores was a top priority.
This critical big data is expected to be hosted primarily by systems that will be more accessible through these tools by 2021 and used for visualization, analysis, and predictive modeling.
This opens up unlimited possibilities to completely carry out all aspects of business activities with data.
DBaaS and Big Data
Database as a Service Providers are expected to implement big data analytics solutions in the coming years to meet the growing demands of customers.
Companies have collected and stored as much data as possible and looked for ways to test this data and process it more efficiently.
By integrating big data analysis solutions into your platform, DBaaS providers can not only host and manage data, but also make better use of business customers.
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