#Big Data

Hbox integrates big data with AI on Hadoop Yarn, supporting machine and deep learning frameworks like TensorFlow and PyTorch. It features GPU scheduling, docker management, RESTful APIs, and utilizes HDFS for data management, ensuring efficient resource use and process monitoring.

Explore the profile of a Technology Architect with expertise in cloud services like AWS, GCP, and Azure, as well as Big Data systems. Vaquar Khan brings experience in cloud architecture and polyglot programming, including Java, Python, and Scala. The site provides insights on distributed systems and microservices, and highlights his contributions on platforms like GitHub and StackOverflow for technical knowledge and collaboration.

Offering a detailed exploration of critical areas such as high concurrency, distributed systems, and microservices without promotional language. The project systematically organizes information based on content by Zhong Hua Shi Shan, making it ideal for reference and continuous learning. Also includes algorithm resources to support advanced coding and interview preparation.

This repository is a curated set of resources exploring Graph Neural Networks (GNNs) applied to traffic forecasting. It presents updated research findings and practical applications, including scholarly articles, associated repositories, and datasets for refined deep learning in traffic analysis. Designed for researchers and professionals, it aims to advance traffic prediction capabilities by employing state-of-the-art GNN techniques. Contributions to special issues are also welcomed, promoting ongoing innovation and teamwork within the domain.

Explore our daily updated repository with a curated selection of articles, blog posts, and videos about Scala, Data Engineering, Java, Big Data, AI, and relevant technology fields. This shared collection is designed to offer succinct insights into the latest trends and innovations. With an easy-to-navigate search feature, readers can find diverse information spanning topics like Kafka ecosystems, unstructured data, data security, and more. Stay informed with regular contributions from tech experts, providing updates on evolving data strategies and technology insights.

Discover a vast collection of over 2000 questions designed for data engineer interviews, categorized by databases, data warehouses, formats, big data frameworks, cloud providers, theory, and visualization tools. The repository provides not just questions but insights into technologies like Apache Cassandra, MongoDB, Apache Hadoop, and others. Enhance your preparation by exploring useful links and contribute to continuous improvements within this GitHub repository. A comprehensive resource for mastering data engineering interviews and progressing in the tech field.

This open-source project facilitates the creation of LLM-based applications in Big Data using Java. It integrates seamlessly with models like OpenAI and ChatGLM2, aligning advanced AI features with Java's strong framework. Users can efficiently link models to SQL and chat functions, offering versatility for different applications. The project provides thorough documentation and a straightforward setup, enabling developers to innovate and expand their projects effectively. Discover its role in enhancing Java applications by utilizing language model potentials to address intricate data issues.