ndurumo254 / mongodb

The easiest way to navigate through MongoDB, PySpark, and Jupyter Notebook

I strongly believe that open source is the future. In our modern-day software development cycle, there is a huge interest in the open source project. This is attributed to the fact that such an approach ends up saving cost in the development, making the development more flexible as well as encouraging innovation. MongoDB: This is basically an open-source document database that can be used to store both structured and unstructured data, using JSON-like format to store documents Jupyter Notebook: This is one of the commonly used open-source tools that has revolutionized the data science landscape. It is easy to create and share documents containing code, equations, and visualization. Recently, jupyter Notebook has evolved into jupyterLab, which adds additional functionality, such as a command line, terminal, and editor. Pyspark: This is basically the Python API for Apache Spark, an open-source cluster computing framework. The popular concept of the spark is distributed computing.