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 Data Mining 97

Knowledge Hut

APRIL 20, 2023

Data mining, machine learning, statistical analysis, programming languages (Python, R, SQL), data visualization, and big data technologies. 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.

Data Science 52

Data Science Computer Science Healthcare Recruitment 52

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 Telecommunication 97

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. In terms of programming languages and frameworks, cloud computing has several applications.

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 Engineering Data Engineer Engineering 52

Knowledge Hut

DECEMBER 26, 2023

Data Engineers are engineers responsible for uncovering trends in data sets and building algorithms and data pipelines to make raw data beneficial for the organization. This job requires a handful of skills, starting from a strong foundation of SQL and programming languages like Python , Java , etc.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Snowflake

NOVEMBER 22, 2023

Piyush Shandilya, Data Architect at CityFibre explains how the company uses Snowflake to process and analyze large, integrated data sets at speed, powering future growth and delivering next-gen connectivity. s third largest gigabit network and is predicted to connect 8 million people by 2025. CityFibre is one of the U.K’.s

IT 70

IT Data Architect Unstructured Data Programming Language 70