Knowledge Hut

DECEMBER 26, 2023

According to the World Economic Forum, the amount of data generated per day will reach 463 exabytes (1 exabyte = 10 9 gigabytes) globally by the year 2025. Thus, almost every organization has access to large volumes of rich data and needs “experts” who can generate insights from this rich data.

Data Science 97

Data Science BI Business Intelligence Machine Learning 97

Knowledge Hut

NOVEMBER 27, 2023

In 2018, the world produced 33 Zettabytes (ZB) of data, which is equivalent to 33 trillion Gigabytes (GB). In 2020, this number grew to 59 ZB and was expected to reach a whopping 175 ZB in 2025. Can you imagine the data that big? How can companies leverage the data that they have to solve problems or innovate with current ideas?

Data Science 97

Data Science Healthcare Machine Learning Algorithm 97

Knowledge Hut

APRIL 20, 2023

It is expected to increase by 11% in 2023 and 20% in 2025. Data science professionals are in high demand in areas such as banking, healthcare, and e-commerce. According to the Bureau of Labour Statistics, data science employment will grow by 27.9%

Data Science 52

Data Science Computer Science Healthcare Recruitment 52

ProjectPro

JULY 15, 2021

billion during 2021-2025. From cloud computing consultants to big data architects, companies across the world are looking to hire big data and cloud experts at an unparalleled rate. You shall also use digital signatures and data encryption algorithms, such as Advanced Encryption Standard (AES), in the system.

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

ProjectPro

SEPTEMBER 26, 2021

Several industries across the globe are using Big Data tools and technology in their processes and operations. According to a study, the Big Data market in the banking sector will reach $62.10 billion by 2025. Healthcare is another primary application area of Big Data analytics , and its market will touch $67.82

Big Data 52

Big Data Data Engineer Data Engineering Engineering 52

Knowledge Hut

DECEMBER 26, 2023

This mainly happened because data that is collected in recent times is vast and the source of collection of such data is varied, for example, data collected from text files, financial documents, multimedia data, sensors, etc. This is one of the major reasons behind the popularity of data science.

Data Engineer 98

Data Engineer Data Engineering Engineering Pipeline-centric 98