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Which Indian startups do you follow on regular basis and why? Is it the founders, the domain, the experience, or something esle.

Many argue that Data Engineering is a part of data science and analytics. It's different from data science, but they work together closely. Data Engineers come first in the process. They gather and organize data. This data is then used by Data Scien

hi friends DATA ANALYST, works on tableau give me a solution, while fetching a data from live DB , it takes a amount of time it's okay . But , while changing a filter or adding a row takes almost 15 to 30 mins to load the data to the TABLEAU is there

Whatsapp Bans Android Users From Taking Screenshots Of Profile Pics WhatsApp has introduced a new update that prevents users from taking screenshots of other users' profile pictures, enhancing privacy features. This update, not yet officially announ

Data Privacy: A Gamer's Concern, an Entrepreneur's Responsibility The online gaming industry thrives on data, but with great power comes great responsibility. As an entrepreneur, you collect user data for running statistics, analytics & more. The D

Just look at this data and can you imagine the gap between India and China ? How we can become a manufacturing power in this decade. 🙀

Hii I am Akshay, I have a startup plan of School Bus application , I studied last 6 months for school bus application. Now School Bus is very simple process parents, Drivers and School staff face problem like Children Update, Bus timing doesn't mat

You need to know this : • Microsoft acquires 48 acres of land in Hyderabad, India for Rs 267 crore ($32 million) Strategic move to expand data center business in India. • Land purchased from Sai Balaji Developers, located 40 km from Hyderabad city

AI will be "the oil of the future" and to meet the electricity requirements it needs will require investing in nuclear power and building lots of small plants at the sites of data centers. ~ Donald Trump

Harnessing GPU Power with CUDA CUDA (Compute Unified Device Architecture) is a parallel computing platform by Nvidia that unleashes the power of GPUs for more than just graphics rendering. Initially developed in 2007, CUDA enables massive parallel p