Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights.
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Updated
Nov 26, 2024 - Java
Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights.
AI-powered key driver analysis tool that pinpoints root cause behind metrics fluctuation in one minute.
✨🚀 DataAnalyzer.app - Convert JSON/CSV to Typed Data Interfaces - Automatically!
Este repositório foi cuidadosamente criado para fornecer uma extensa coleção de consultas SQL que visam facilitar o trabalho dos analistas de dados em diversas áreas de uma empresa, incluindo marketing, logística, comercial, financeiro, recursos humanos, operação, jurídico, suporte e muito mais.
A cloud data platform product to accelerate time to insights. Our open-source framework is designed for the real world. Stripping away the complexity, giving you the power to build, scale, and manage your dataflows with ease, accelerating data delivery.
In this repository, explore insightful solutions through exploratory data analysis focusing on mental health problems. Gain valuable insights into understanding and addressing key challenges in this critical domain.
Real Estate Predictor (WebScraper, ML, and Data Insights) for apartments in Stockholm.
Turn your data into a strategic asset
A platform to access, analyze and visualize your data with natural language and a lot less complexity.
KPMG Data Analytics Consulting Virtual Internship
🚀 Welcome to the YouTube Data Analysis and Insights project! 📊
This is an interactive web application built using Streamlit and Pandas Profiling that allows users to perform data analysis on large CSV files with just one click.
Investigated THE MOVIE DATABASE dataset to produce insights and find out the movie with the highest Return of Interest.
Quizzes & Assignment Solutions for From Data to Insights with Google Cloud Platform Specialization on Coursera. Also included a few resources on side that I found helpful.
A thorough and comprehensive collection of SQL resources designed to enhance your expertise. Dive into interview preparation with Q&A, access detailed notes, and embark on thorough SQL projects with accompanying handbooks. Find quick references, insightful roadmaps, and a wealth of knowledge to elevate your SQL skills.
Extensive data analysis project on web-crawled data from Yelp website
An easy-to-use tool for extracting insights from jobs data.
This project is designed to suggest songs to users based on their listening habits. Using K-means clustering, the system groups songs by their attributes and recommends songs that align with the user's preferences.
This project is designed to suggest games to users based on the games they recently played. By leveraging a correlation-based algorithm, the system identifies and recommends games that align with the user's preferences.
Developed a Streamlit application for analyzing transactions and user data from the Pulse dataset. Explored data insights on states, years, quarters, districts, transaction types, and brands through EDA. Visualized trends and patterns using plots and charts to optimize decision-making in the Fintech industry.
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