• Designed serverless data lake architecture and built a data processing pipeline and Data Lake availing Amazon S3 for 10000 plus live data per day storing capacity. • Devised Amazon Kinesis for real-time streaming the data and AWS Glue to automatically catalog 2 datasets and applied AWS Glue Studio to run, monitor ETL jobs in AWS Glue and the streaming data per day was loaded to AWS Redshift Datawarehouse. • Applied Lambda function to execute the specific queries on AWS Athena & visualize it employing interactive graphical dashboards in AWS Quicksight to make meaningful insights out of Tree map of trending artists, Heat map of users and popular tracks on list

"I often feel like reading about new startups to get innovative developments that are taking shape in India and the world. I hope to get my next big idea from it." - Raghav from Jaipur "I have stopped watching the news because of the drama that goes on all day long." - Deepak from Mumbai "I often hear trending topics being discussed all over but hardly know the essential details. Plus, it’s very hard to find verified information in simple language." - Diksha from New Delhi "I know no one gets rich with a job. The idea is to stay updated and look for multiple sources of income." - Siddharth from Bengaluru "Sustainability is a cause I am passionate about. However, I don't know how to imbibe it in my life beyond the very obvious." - Rashmi from Shillong "You are what you read and watch. As a young professional, I want to read content that would add value to my knowledge base." - Vibha from Shimla Do you feel like you relate to any of these? Do you like to know about cool and trending topics? Do you want to read some lesser-known but highly relevant stories? Well, worry not! We have you covered. ulaunch is a media platform wherein we try to bring you some interesting stories, minus all the drama that you see on conventional media platforms. We steer away from politics, blame games and all the negativity that surrounds the media. Instead, we are guided by the UN Sustainable Development Goals which remains our guiding theme. We selectively pick some focus areas - sustainability, startups, innovation, economy, technology and society (We are expanding slowly, but surely and we promise to encompass more areas as we move forward). Towards this mission, our effort is: to bring you stories of upcoming startups that are not only creating jobs but are also impacting lives by solving real problems faced by society through innovation and invention. to highlight those changemakers in society who are using science, technology and innovation towards helping others. provide our readers with a short, simple yet comprehensive breakdown of the trending topics (our toolkits are all about spreading awareness, we promise). to bring our readers politically incorrect debates on matters less spoken about but impacting us disproportionately (we solemnly swear we are up to only good). and much more! Apart from our website- ulaunch.in, we are present on all major social media platforms. We use these to maximize our outreach and take forward our message to the interested audience. Our founder, Haresh, envisages launching a movement driven by people. In his words - "I believe a lot of people out there are inspired to work for the betterment of society. Modern-day entrepreneurs, young professionals and students are not only conscious about the multidimensional problems impacting our planet, they have the knowledge, vision and will to work towards this goal. Such people must serve as inspiration to all the others, who have the intent but are confused about the means". When asked why to go for a media platform as the means, Haresh explains - "people may/may not have basic necessities, but the Indian population today will most certainly have a mobile or some access to the internet. However, understanding priorities and ensuring we consume the right information is imperative. Here, a very constructive role can be played by the media since it will have an outreach only comparable to the government. At ulaunch, we strive to promulgate the right kind of content in a market full of unverified and manipulated content". Therefore, we hope to provide you with content that is worth your time. In this journey, we aim to engage our audience as much as possible. So, please feel free to reach out to us. Tell us what you like and what you don't. Let us know what more you would like to see. We promise to work on it. Happy reading!

It is a web engine that targets job seekers . It can show the most trending jobs , predict the growth rate for each job and recommending the perfect job match based on user skills.

IT Job Trends Analysis explores the evolving IT job market using LinkedIn job postings data. We analyze trending roles, in-demand skills, salary distributions, and location-based demand. Leveraging real-world datasets from Kaggle, this project uncovers insights to guide tech career and hiring decisions.

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It is an Online Job portal where one can get the precise job vacancies and trending jobs.

This project analyzes real-world IT job postings to identify trending jobs and in-demand skills using Machine Learning

JobGo: Streamlining job searches with style. Discover, apply, and save jobs effortlessly. Powered by React Native, Expo, and the JSearch API, it's your sleek companion for a modern job hunt. Trending jobs, local opportunities, and a user-friendly experience. Your dream job is just a tap away. 🔍🚀

This Final Year Project introduces a forecasting system for the university elective courses. Utilizing forecasting models, our system forecast the student’s courses predicated on the most trending jobs for the Computer Science graduates in the IT industry. This project will avail to abbreviate the gap between the academia and IT Industry.

Problem statement Write and execute a MapReduce program to figure out the top 100 trending songs from Saavn’s stream data, on a daily basis, for the week December 25-31. Although this is a real-time streaming problem, you may use all the data till the ( n − 1 ) th day to calculate your output for the n th day, i.e. you may consider all the stream data till 24 December (included) in your program to find the trending songs for 25 December and so on. Definition of trending The term ‘trending songs’ may be defined loosely as those songs that have gathered relatively high numbers of streams within small time windows (e.g. the last four hours) and have also shown positive increases in their stream growth rates. How is a stream defined at Saavn? A stream is a record of a user playing a song. Each stream is represented as a tuple with the following attributes: (song ID, user ID, timestamp, hour, date) Each tuple consists of the song ID of the streamed song, the user ID of the user who streamed the song, the timestamp (Unix) of the stream, the hour of streaming, and the date of streaming. Data - The file https://s3.amazonaws.com/mapreduce-project-bde/part-00000 contains one month(December) of stream records. Please note that this file is huge (~44GB) and will consume a lot of your internet bandwidth if you choose to download it onto your local machine. In the next session, you will learn how to run a MapReduce job that takes input directly from S3. - The file https://s3.amazonaws.com/mapreduce-project-bde/trending_data_daily.csv contains the trending songs for each day of December, as calculated by Saavn. You may compare your output with these and improve your algorithm to obtain a better match. - The file https://s3.amazonaws.com/mapreduce-project-bde/saavn_sample_data.txt contains a sample of 10 million stream records from the original dataset. You may use this to run simple jobs and get an idea of the data.

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