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
May 20, 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.
This project facilitates users to retrieve PhonePe transaction and user data, store it in a MySQL database. Subsequently, the stored data is visualized in a Streamlit web application using Plotly and Pandas DataFrame.
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.
We've noticed a bit of traffic already on our repo this project is still new, please star / fork this repo or check out our #readme file to keep up with changes. Thank you.
This repository showcases a data visualization project completed during a job simulation with Tata Consultancy Services (TCS) in April 2024. It includes interactive Power BI visualizations, insightful meeting questions, and materials used for client presentations.
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.
The goal of the project is to gather information and analyze the detailed information of the different entries in order to provide insights about the host and price of the property in a particular area as per your preference , type of rooms and number of reviews accordingly.
This capstone project conducts in-depth analysis using Power BI, SQL, and Excel to explore complex dynamics shaping global university success. Integrating data from diverse ranking systems and criteria, our aim is to unravel the factors influencing universities worldwide.
End-to-end EDA project on an online customer activity dataset from a multinational retail company. Includes ELT pipeline to extract data from AWS RDS, EDA with python and a full business report with insights and recommendations.
Rakshayani Thyagu's Portfolio
Hands-on SQL data analysis project for music store. Enhance proficiency with database queries. Ideal for practitioners seeking real-world analytics experience. Gain insights into customer behavior, revenue trends, and genre preferences, empowering strategic decision-making in the music industry. Explore the project for a rich learning experience.
Explore comprehensive insights derived from Spotify data through visualizations created in Tableau. Gain valuable analytics on track inventory, streaming metrics, and sonic landscape overview. Dive deep into KPIs, cross-platform rankings, and audio analytics showcase for a holistic understanding of the Spotify musical ecosystem.
Data Analytics virtual internship programme by KPMG AU on Forage.
React web application to visualise Chrome data and gain insight
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.
In my various Python projects, I have covered all the steps in the data analysis process.
This project is dedicated to the creation and management of an interactive and insightful dashboard developed using Google Looker Studio. The dashboard is designed to provide a comprehensive overview of order-related data, facilitating data analysis and decision-making.
In this repository i am going to perform data preprocessing techniques and try to findout some useful insights using the various datascience libraries along with data visualisation library to get the precise outputs on the dataset
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.
Amazon prime video dashboard made on Tableau
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