An innovative solution that integrates key big data technologies for the real-time monitoring and in-depth analysis of news trends. This robust system excels in processing and visualizing the most talked-about topics, leveraging a multitude of tech stacks such as Kafka, Spark, and Cassandra paired with machine learning for advanced analytics. Harnessing Apache Kafka, the system efficiently gathers news feeds, ensuring a steady stream of data ready for analysis. Apache Spark steps in to process this influx in real-time, applying NLP techniques to distill trends from the noise. The insights are then meticulously stored in Cassandra, providing a robust database architecture that scales dynamically with the influx of data. With the data processed and stored, Apache Airflow orchestrates the workflow, maintaining the system's pulse by scheduling and automating tasks. Prometheus and Grafana bring the data to life, presenting interactive dashboards that highlight the frequency and distribution of trending keywords and phrases, allowing for immediate visual analysis and decision-making.

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DataLake is a powerful customer management application built with Django, PostgreSQL, Next.js and Tailwind CSS (further implementation of the project with a cloud MongoDB). DataLake has implemented authentication using JWT tokens, providing additional security guarantees. With this, each user can now create, edit, and manage their clients, which are only visible to them. Additionally, DataLake offers an easy-to-use interface for viewing, adding, editing, or deleting customers from your database. You can even search for customers by all their fields to help you quickly find the customers you're looking for. Basic features: view, add, edit, and delete customers, integration with the Postgres database. Advanced features: authentication using JWT tokens, registration of new users, dynamic filtering by all fields, dashboard, access rights management.

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A modern web application for managing customers built with Next.js, cloud MongoDB, and Tailwind CSS. It provides a modern and convenient way to manage your customer data, all in one place. With the help of an API that fetches data from cloud MongoDB and Redux for state management. DataLake offers a seamless and responsive experience for its users. Whether you need to view, add, edit, or delete customers from your database, DataLake has got you covered. You can easily search for customers by first and last name, and the application uses dynamic filtering to help you quickly find the customers you're looking for. Basic features: view, add, edit, delete customers, searching by name, integration with a cloud MongoDb database.

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