MongoDB with Spark

Mongo 3.4.3
  • 8 Videos | 58m 1s
  • Includes Assessment
  • Earns a Badge
Likes 4 Likes 4
MongoDB is a powerful NoSQL database that can use Spark to perform real-time analytics on its data. Examine how to integrate and use MongoDB and Spark together using Java and Python.

WHAT YOU WILL LEARN

  • download and install the MongoDB Spark Connector
    describe the configuration options and configure the MongoDB Spark connector
    read and use ReadConfig to read data from MongoDB
    use datasets and schemas to retrieve data
  • use SQL queries to return data
    write RDD data from Spark into MongoDB
    use an aggregation pipeline to filter and perform aggregation in MongoDB
    use the MongoDB Connector for Spark with Java and Python

IN THIS COURSE

  • Playable
    1. 
    Installing the Connector
    5m 40s
    UP NEXT
  • Playable
    2. 
    Configuring the Connector
    7m 7s
  • Locked
    3. 
    Reading Data from MongoDB
    7m 55s
  • Locked
    4. 
    Using Datasets and Schemas
    4m 37s
  • Locked
    5. 
    Using SQL to Retrieve Data
    4m 58s
  • Locked
    6. 
    Writing Data to MongoDB
    6m 14s
  • Locked
    7. 
    Working with Aggregation
    5m 15s
  • Locked
    8. 
    Exercise: Use the MongoDB Connector for Spark
    12m 47s

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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