Introducing MongoDB with Hadoop | Big Data Hadoop Tutorial | Lecture 28

Описание: This lecture is all about MongoDB which is a NoSQL document-oriented database which we can integrate with Hadoop Cluster to handle Big Data. We have discussed what is MongoDB, where it sits on the CAP Theorem, What are the major features of MongoDB, how data is stored in documents, its architectural components and advantages.

MongoDB Components:

_id
Collection
Cursor
Database
Document
Field

In the previous lecture we have seen writing data to Cassandra using Apache Spark/PySpark where we have used Spark with Python to create RDD/DataFrame on top of our Big Data file and write to the Cassandra table present in KEYSPACE. Below are the commands to get the required files and load the data in Cassandra table using Apache Spark/PySpark
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HDP Sandbox Installation links:

Oracle VM Virtualbox: https://download.virtualbox.org/virtu...

HDP Sandbox link: https://archive.cloudera.com/hwx-sand...

HDP Sandbox installation guide: https://hortonworks.com/tutorial/sand...

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Audience

This tutorial is made for professionals who are willing to learn the basics of Big Data Analytics using Hadoop Ecosystem and become a Hadoop Developer. Software Professionals, Analytics Professionals, and ETL developers are the key beneficiaries of this course.

Prerequisites

Before you start proceeding with this course, I am assuming that you have some basic knowledge to Core Java, database concepts, and any of the Linux operating system flavors.

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