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Introduction to MongoDB for Big Data Storage and Processing

Learn about MongoDB, a popular NoSQL database for storing and processing large datasets. Explore its features, querying capabilities, and dynamic schema creation. Get started with MongoDB tutorials and queries.

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Introduction to MongoDB for Big Data Storage and Processing

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  1. CSE 3330 Database Concepts MongoDB

  2. Big Data • Surge in “big data” • Larger datasets frequently need to be stored in dbs • Traditional relational db were not designed for such scenario. • Problems of:- Scalability- “Relational” becomes a problem * need to load two or more tables in memory- Do not take advantage of high performance processing, multiplecores, distributed processing, etc

  3. NoSQL databases • NoSQLdbs have following properties:- non-relationalrelations are not stored as PK or FK constraints- distributed- open-source- scalable- high-performance- order of magnitude faster than relational dbs

  4. MongoDB • One of the most popular NoSQLdb • Features:- JSON-style documentsdocument contains one instance of the datacan be thought of as a row in a traditional db- Faster querying- Index support- Highly flexible- More details at:https://www.mongodb.org/

  5. MongoDB MongoDB is consists of a collection of documents.- A document is a record consisting of key value pairs.

  6. MongoDB

  7. MongoDBvs Traditional http://www.mongodb.com/nosql-explained

  8. Querying MongoDB

  9. MongoDB example Schema is created dynamically: Example: db.students.insert({firstName: ‘John’,lastName: ‘Smith’, studentID: ‘1234’, major: ‘CSE’,termAdmitted: ‘Fall2013’});

  10. MongoDB example Schema is created dynamically: Note that there was no need for create database or create table commands.

  11. MongoDB example It’s easy to project columns, find valueshttp://docs.mongodb.org/manual/core/read-operations-introduction/

  12. MongoDB example It’s easy to project columns, find valueshttp://docs.mongodb.org/manual/core/read-operations-introduction/

  13. MongoDB example Look at two tutorials: http://code.tutsplus.com/tutorials/getting-started-with-mongodb-part-1--net-22879 http://code.tutsplus.com/tutorials/getting-started-with-mongodb-part-2--net-23636

  14. MongoDB example Download taco truck insert statements. Run queries for: • Find total types of itemsi.e. how many different itemTypes are there • Find the items which have itemType of “sauces” • Find items which have itemType of “sauces” and name=“Tomatillo” • Try to sort by price

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