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🚀 Exciting Times in Data Engineering! 🚀 The recent advancements from DuckDB, Snowflake, DataBricks, and Polars underscore a transformative trend in our field. From DuckDB reaching its 1.0.0 milestone with enhanced stability to Snowflake’s Polaris catalog and DataBricks’ open-source Unity Catalog, it's clear that open-source and interoperability are becoming key drivers of innovation. These developments not only prioritize community-driven growth but also support diverse data management needs across platforms. As a strong advocate of open-source, I believe this shift will empower data engineers to build more robust, flexible, and high-performing solutions. Whether it’s the power of Polars for dataframes or the scalable capabilities DataBricks brings with its acquisition of Tabular, the future of data engineering looks promising! #DataEngineering #OpenSource #Innovation #DuckDB #Snowflake #DataBricks #Polars #DataManagement (https://lnkd.in/eCi6bWCT)

🚀 New Blog Post Alert! 🚀 Check out our latest blog on Optimal Binary Search Tree

New post on my Frest blog!

Interesting things to learn. Check this out 👇 https://lnkd.in/dg-UvRbE

As part of my journey with Prodigy Infotech, I worked on my first task: creating visualizations using a global population dataset from the World Bank. This project involved analyzing the population trends of various countries between 1960 and 2023 and presenting insights through clear visualizations. Some of the key steps included: Creating histograms to show population distributions in 1960 and 2023. Visualizing population growth trends for countries like Turkey, India, China, and Peru. Comparing the population growth of the top 10 most populated countries. Exploring the global population growth and understanding country-specific dynamics. This task has helped me sharpen my data visualization skills using Python, Pandas, and Matplotlib. Check out the dataset here: World Bank Population Dataset I'm excited to dive deeper into data science and analytics. 🚀 #DataScience #Python #Matplotlib #ProdigyInfoTech #PopulationAnalysis #DataVisualization #Pandas https://lnkd.in/gvr3c38p

Good course, clear and concise explanations.

🔈 Dear network, after nearly two enriching years at ThinkR, I’m ready for new adventures in data science and development! This experience has been transformative: I've grown into a committed and exacting developer, with a passion for excellence and best practices. Rigorous testing, precise documentation, continuous integration—these are skills I’ve honed day by day, applying them to data projects. 🚀 Alongside, I discovered my passion for teaching. Whether in data analysis, data science, using Git, or developing Shiny applications, I’ve had the privilege of training people from diverse backgrounds. Each session allowed me to share, learn, and realize how much I enjoy contributing to others' growth. 🌱 My commitment goes beyond teaching; I love actively contributing to the community through open-source projects and sharing knowledge with my peers. 🔍 If you’re looking for a developer-trainer passionate about data science, curious, and always eager to learn, let’s connect! Meanwhile, feel free to explore my blog to see some of my work : https://lnkd.in/eVM7JBDs. #RStats #DataScience #RDevelopment #Training #OpenSource

My first medium article, hope you like it 😊