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Bigdata Playground

screenshot of Bigdata Playground
angular

A complete example of a big data application using : Kubernetes (kops/aws), Apache Spark SQL/Streaming/MLib, Apache Flink, Scala, Python, Apache Kafka, Apache Hbase, Apache Parquet, Apache Avro, Apache Storm, Twitter Api, MongoDB, NodeJS, Angular, GraphQL

Github

Overview

Bigdata Playground is an innovative and comprehensive platform designed for exploring the vast world of big data applications. Leveraging a variety of powerful technologies, this application provides users with the tools they need to manipulate, analyze, and derive insights from large datasets in a seamless and efficient way. Whether you’re a data scientist, a developer, or just someone eager to delve into the big data realm, Bigdata Playground offers a structured environment where you can experiment and grow your skills.

The use of modern frameworks and programming languages equips users with the ability to conduct complex data operations, whether through real-time streaming or iterative batch processing. Overall, Bigdata Playground stands out as a practical solution for anyone looking to harness the full potential of big data analytics.

Features

  • Comprehensive Technology Stack: Includes Kubernetes, Apache Spark, Flink, and Kafka, allowing for diverse data processing architectures.
  • Support for Multiple Languages: Utilize Scala and Python to implement data manipulation and machine learning tasks efficiently.
  • Streaming and Batch Processing: Offers both Spark Streaming and batch processing capabilities, accommodating various workflow needs.
  • Real-time Analytics: Leverage Apache Kafka for real-time data feeds and rapid analytics.
  • Robust Data Storage: Utilizes Apache HBase and MongoDB for efficient data storage and retrieval.
  • Interoperability: Supports GraphQL for enhanced API interactions, making it simpler to query data.
  • User-Friendly Interface: Built with Angular for a responsive front-end experience that enhances user engagement.
  • Flexible Data Formats: Incorporates Apache Parquet and Avro, allowing users to work with a variety of data formats seamlessly.
angular
Angular

Angular is a TypeScript-based open-source framework by Google for building dynamic single-page applications and cross-platform mobile apps with MVC architecture and a rich set of features.

docker
Docker

A website that uses Docker for containerization to streamline development, testing, and deployment workflows. This includes features such as containerization of dependencies, automated builds and deployments, and container orchestration to ensure scalability and availability.

graphql
Graphql

A website that uses GraphQL as a query language to manage data fetching and state management. This includes features such as a strongly typed schema, client-side caching, and declarative data fetching to streamline data management and optimize website performance.