MongoDB with Spark

Mongo 3.4.3    |    Intermediate
  • 8 videos | 54m 31s
  • Includes Assessment
  • Earns a Badge
Rating 4.7 of 7 users Rating 4.7 of 7 users (7)
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

  • 5m 40s
    Find out how to download and install the MongoDB Spark Connector. FREE ACCESS
  • 7m 7s
    After completing this video, you will be able to describe the configuration options and configure the MongoDB Spark connector. FREE ACCESS
  • Locked
    3.  Reading Data from MongoDB
    7m 55s
    In this video, learn how to read data from MongoDB using ReadConfig. FREE ACCESS
  • Locked
    4.  Using Datasets and Schemas
    4m 37s
    In this video, you will learn how to use datasets and schemas to retrieve data. FREE ACCESS
  • Locked
    5.  Using SQL to Retrieve Data
    4m 58s
    In this video, you will learn how to use SQL queries to retrieve data. FREE ACCESS
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    6.  Writing Data to MongoDB
    6m 14s
    In this video, you will write RDD data from Spark into MongoDB. FREE ACCESS
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    7.  Working with Aggregation
    5m 15s
    In this video, you will learn how to use an aggregation pipeline to filter and perform aggregation in MongoDB. FREE ACCESS
  • Locked
    8.  Exercise: Use the MongoDB Connector for Spark
    12m 47s
    During this video, you will learn how to use the MongoDB Connector for Spark with Java and Python. FREE ACCESS

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