MongoDb And Hadoop: The Power Of Two

What is MongoDB

MongoDB DB classified as under NoSQL database, refers to an open-source, cross-platform document database. It makes the integration of data easier and faster. This free software is used for the backend by several multinational giants like eBay, The New York Times, Viacom, and many more. It is one of the most famous NoSQL database systems.

What is HADOOP

Hadoop is the name given to the software technology created for storing and processing a plethora of data spread across commodity servers and commodity storage. Often, Hadoop is considered to be a synonym of Enterprise Data Warehouse because of its growing application across industries to handle a large volume of data.

 

THE POWER OF TWO: Hadoop and MongoDB

When the power of Hadoop and MongoDB is clubbed, it results in the big data applications success.

• Hadoop creates the analytics model for the operational process, and MongoDB fuels the online and real-time operational applications targeting business processes and end-users.
• Data is consumed by Hadoop from MongoDB, to blend it with data received from different sources to come up with machine learning models and sophisticated analytics. The achieved results are directed back to MongoDB.
• Here are a few examples of the combined usage of two by the corporate:
• MongoDB and Hadoop work together to create the base to bring into action the big data, to improve the customer service, support up-sell and cross-sell, or reduce the level of risk, which otherwise hampers the efficiency of the business.
• Here is a diagrammatic representation of MongoDB integration with Data Lake.

MONGO DB CONNECTOR FOR HADOOP

The sole purpose of MongoDB Connector for Hadoop is to ensure a high level of flexibility and a good level of performance, and finally ease the integration of MongoDB withthe  Hadoop ecosystem and Pig, Spark, Map Reduce, Hadoop Streaming, Hive, plus Flume.

ITS MAIN FEATURES

• Creation of data splits to read from replica set configuration, standalone configuration, or shared configuration.
• Use of MongoDB query language to filter the queries from the source data.
• Hadoop streaming support, to provide the freedom of writing in any language like Python, Ruby, etc.
• Data from MongoDB backup files can be read.
• Data can be written in .bson format and later imported to MongoDB database with the assistance of Mongorestore
• MongoDB connector for Hadoop works with MongoDB or BSON documents.

DOWNLOAD

It can be downloaded through Maven or Gradle

MAVEN

GRADLE

• To use the Hadoop connector, one needs compatibility with the following versions

1. Hadoop 1.X: 1.2
2. Hadoop 2.X: 2.4
3. Hive: 1.1
4. Pig: 0.11
5. Spark: 1.4
6. MongoDB: 2.2

INSTALLATION

1. Obtain Hadoop connector
2. Obtain the JAR for MongoDB Java Driver
3. Move each JAR to each of the Hadoop clusters. Make use of Hadoop Distributed Cache to direct the JARS to predefined nodes.

Concetto Labs can help create MONGO MongoDB and Hadoop development

Concetto Labs is a reputed MongoDB and Hadoop big data development company India. They can assist you in exploring more about this mobile application development platform and related technology.