Knowledge Hut

APRIL 20, 2023

Cybersecurity vs Data Science: Career Data science vs cybersecurity careers, well, both provide good employment options. Cybersecurity vs Data Science: Career Data science vs cybersecurity careers, well, both provide good employment options.

Data Science 52

Data Science Computer Science Healthcare Recruitment 52

Knowledge Hut

JUNE 23, 2023

Data engineers make a tangible difference with their presence in top-notch industries, especially in assisting data scientists in machine learning and deep learning. Steps to Become a Data Engineer One excellent point is that you don’t need to enter the industry as a data engineer.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

U-Next

AUGUST 4, 2022

Data Science is a field that combines computer programming, quantitative maths, deep learning, data processing, and visualisations. The “Data” itself is the most crucial element of Data Science, as is clear from the name. Data Scientists now have a significant role in the business as a result.

Data Science 52

Data Science Machine Learning Medical BI 52

DataKitchen

APRIL 13, 2021

Enterprise Data Foundation — Open-source enterprise data toolkit providing efficient unit testing, automated refreshes, and automated deployment. CompactBI — TestDrive is a testing framework for your data and the processes behind them. Acquired by Informatica, July 2020) . Telm.ai — Telm.ai Development Testing Only.

Consulting 121

Consulting Machine Learning Data Science Data Pipeline 121

Knowledge Hut

NOVEMBER 27, 2023

In fact, you reading this blog is also being recorded as an instance of data in some digital storage. 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.

Data Science 97

Data Science Healthcare Machine Learning Algorithm 97

Knowledge Hut

DECEMBER 26, 2023

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. What is the difference between Data Science, Data Analysis, and Data Engineering?

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98