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In modern app development, new database trends like GraphQL and Redis are transforming data management. 𝐆𝐫𝐚𝐩𝐡𝐐𝐋 is a query language for APIs that allows clients to request specific data, avoiding over-fetching. Advantages include flexible da

Whats the sex ratio on influencers? Does female takes the lead? Anyone has data on it?

Looking for a financer for new tech startups basically works on the agricultural CIBIL score with the help of live data available.

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

Steps to Enter Data Science 1. Learn the Basics: Master programming languages like Python and R, as well as tools like TensorFlow, sci-kit-learn, and Tableau. 2. Choose Your Field: Select a specific industry, such as healthcare or finance, and lear

Hiring Data Analytics Trainers Requirements: •Minimum 5 years of experience in data analytics •Experience delivering data analytics training programs (preferred) •In-depth knowledge and experience with at least one of the following: Power BI,Tablea

🚨Data Breach Alert: Ticketmaster Hack Potentially Affects 560 Million Users🚨 Ticketmaster's parent company, Live Nation Entertainment, has confirmed an "unauthorized activity" in a database containing the US ticket sales company's data. This breac

India is witnessing the rise in "Ghost Malls" ( occupancy less than 60% of capacity) . What would you think a viable solution to revive them? : Mine will be converting the unoccupied area into remote data centre and server rooms . Whats your solution

RECESSION WARNING: US Leading Economic Index® (LEI) is down 14.7% from this economic cycle peak. In the last 65 years, such a drop happened only during recessions. Index takes into account, US labor market data, manufacturing sector data, building

In traditional programming, the focus is on using rules and data to find answers. This is typically represented as rules + data = answers. In contrast, AI/ML takes a different approach: Answers + data = rules. In AI/ML, we train models by providing