Analysing Unstructured Data using MongoDB and PySpark

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Neste projeto guiado, você irá:

Learn how to connect MongoDB database with PySpark

Learn how to analyse unstructured dataset stored in MongoDB

Learn how to write Spark DataFrames to CSV or MongoDB

Clock1.5 hours
BeginnerBásico
CloudSem necessidade de download
VideoVídeo em tela dividida
Comment DotsInglês
LaptopApenas em desktop

By the end of this project, you will learn how to analyze unstructured data stored in MongoDB using PySpark. We will be using an open source dataset containing information on movies released around the world. I will teach you how to connect a MongoDB database with PySpark, how to analyze unstructured dataset stored in MongoDB, and how to write the analyses results to a CSV file or back to MongoDB. I will also teach you how to access inner (or nested) documents and how to run SQL queries on a MongoDB collection. You will create a ready-to-use Jupyter notebook for conducting analyses on MongoDB collections using PySpark. After completing the project, you will receive a Zip file containing links to other open source datasets for additional practice! MongoDB is one of the most commonly used databases for storing unstructured datasets. As the size of the dataset grows, it is becoming more practical to use Spark’s analytical engine for analyses. These analyses could range from basic descriptive statistics metrics to more advanced machine learning and deep learning capabilities, all utilizing the vast library of Spark. This is a beginner level course where we will cover the basics of MongoDB and PySpark. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Habilidades que você desenvolverá

Unstructured DataBig DataMongodbPySpark

Aprender passo a passo

Em um vídeo reproduzido em uma tela dividida com a área de trabalho, seu instrutor o orientará sobre esses passos:

  1. Upload data to MongoDB Database

  2. Connect to MongoDB using PySpark

  3. Analyse MongoDB collection and access nested documents

  4. Write Spark Dataframe to CSV

  5. Run SQL query on MongoDB collection

  6. Write Spark Dataframe to MongoDB

Como funcionam os projetos guiados

Sua área de trabalho é um espaço em nuvem, acessado diretamente do navegador, sem necessidade de nenhum download

Em um vídeo de tela dividida, seu instrutor te orientará passo a passo

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