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Kafka to MongoDB: Building a Streamlined Data Pipeline

Analytics Vidhya

Introduction Data is fuel for the IT industry and the Data Science Project in today’s online world. IT industries rely heavily on real-time insights derived from streaming data sources. Handling and processing the streaming data is the hardest work for Data Analysis.

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Getting Started with MongoDB: Installation and Setup Guide

KDnuggets

MongoDB is a database that’s great for handling large amounts of diverse data. This article walks you through installing MongoDB and using the MongoDB Shell to manage your data easily.

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Getting started with the MongoDB Connector for Apache Kafka and MongoDB

Confluent

Together, MongoDB and Apache Kafka ® make up the heart of many modern data architectures today. Integrating Kafka with external systems like MongoDB is best done though the use of Kafka Connect. The official MongoDB Connector for Apache Kafka is developed and supported by MongoDB engineers.

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OLTP Vs OLAP – What Is The Difference

Seattle Data Guy

Adding databases like MongoDB and CassandraDB only makes matters worse, since they’re not SQL-friendly – the language most analysts and data practitioners are used to.… … Read more The post OLTP Vs OLAP – What Is The Difference appeared first on Seattle Data Guy.

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Streamlit and MongoDB: Storing Your Data in the Cloud

Towards Data Science

Deploying your Streamlit app to the Cloud means that any data that you create with that app disappears when the app terminates — unless… Continue reading on Towards Data Science »

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Introduction to MongoDB for Data Science

Knowledge Hut

The need for efficient and agile data management products is higher than ever before, given the ongoing landscape of data science changes. MongoDB is a NoSQL database that’s been making rounds in the data science community. Let us see where MongoDB for Data Science can help you.

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Real-Time Data Streaming: MongoDB Change Stream Kafka

Hevo

With the rise of modern data tools, real-time data processing is no longer a dream. The ability to react and process data has become critical for many systems. Over the past few years, MongoDB has become a popular choice for NoSQL Databases.

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