Analysing Unstructured Data using MongoDB and PySpark

提供:
Coursera Project Network
このガイド付きプロジェクトでは、次のことを行います。

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
Beginner初級
Cloudダウンロード不要
Video分割画面ビデオ
Comment Dots英語
Laptopデスクトップのみ

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.

あなたが開発するスキル

Unstructured DataBig DataMongodbPySpark

ステップバイステップで学習します

ワークエリアを使用した分割画面で再生するビデオでは、講師がこれらの手順を説明します。

  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

ガイド付きプロジェクトの仕組み

ワークスペースは、ブラウザに完全にロードされたクラウドデスクトップですので、ダウンロードは不要です

分割画面のビデオで、講師が手順ごとにガイドします

よくある質問

よくある質問

さらに質問がある場合は、受講者向けヘルプセンターにアクセスしてください。