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3 scenarios when to use MongoDB!
The document discusses MongoDB and provides an overview of its features and use cases. It begins with definitions of NoSQL and SQL databases, and the CAP theorem. It then covers MongoDB's features such as document-oriented storage, indexing, replication for high availability, and sharding for horizontal scaling. Examples are given of companies like Expedia using MongoDB for real-time personalized offers, flexible data models, and indexing to power travel search features. In conclusion, three scenarios are presented where MongoDB is well-suited: when dynamic schemas are needed, for flexible data modeling, and to enable powerful indexing.
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3 scenarios when to use MongoDB!
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- 2. Slide 2Slide 2Slide2 www.edureka.co/mongodb Today we will take you through the following: NoSQL vs SQL CAP Theorem MongoDB Unleashed MongoDB Market Demand Companies using MongoDB 3 Scenarios where MongoDB suits best Agenda (Hands ON)
- 3. Slide 3Slide 3Slide3 www.edureka.co/mongodb NoSQL vs SQL
- 4. Slide 4Slide 4Slide4 www.edureka.co/mongodb Table based Document based Key-value pairs etc.. Predefined schemaDynamic schema Vertically scalableHorizontally scalable Good fit for the complex queryNot good fit for complex queries Emphasizes on ACID properties ( Atomicity, consistency, isolation and durability) Follows the CAP theorem ( consistency, availability and partition tolerance ) NoSQL SQL NoSQL vs SQL
- 5. Slide 5Slide 5Slide5 www.edureka.co/mongodb CAP Theorem
- 6. Slide 6Slide 6Slide6 www.edureka.co/mongodb It is impossible for a distributed computer system to simultaneously provide all three of the following guarantees : Consistency (all nodes see the same data at the same time) Availability (a guarantee that every request receives a response about whether it succeeded or failed) Partition tolerance (the system continues to operate despite arbitrary partitioning due to network failures) CAP Theorem
- 7. Slide 7Slide 7Slide7 www.edureka.co/mongodb MongoDB and its Top Features
- 8. Slide 8Slide 8Slide8 www.edureka.co/mongodb MongoDB free and open- source software cross-platform document- oriented database JSON-like documents with dynamic schemas What is MongoDB
- 9. Slide 9Slide 9Slide9 www.edureka.co/mongodb Document-Oriented • Store the business subject in the minimal number of documents e.g. instead of storing title and author information in two distinct relational structures, title, author, and other title-related information can all be stored in a single document called Book Ad hoc Queries • MongoDB supports search by field, range queries, regular expression searches • Queries can return specific fields of documents and also include user-defined JavaScript functions Indexing • Any field in a MongoDB document can be indexed • Secondary indices are also available MongoDB Features
- 10. Slide 10Slide 10Slide10 www.edureka.co/mongodb Document-Oriented • Store the business subject in the minimal number of documents e.g. instead of storing title and author information in two distinct relational structures, title, author, and other title-related information can all be stored in a single document called Book Ad hoc Queries • MongoDB supports search by field, range queries, regular expression searches • Queries can return specific fields of documents and also include user-defined JavaScript functions Indexing • Any field in a MongoDB document can be indexed • Secondary indices are also available MongoDB Features
- 11. Slide 11Slide 11Slide11 www.edureka.co/mongodb Document-Oriented • Store the business subject in the minimal number of documents e.g. instead of storing title and author information in two distinct relational structures, title, author, and other title-related information can all be stored in a single document called Book Ad hoc Queries • MongoDB supports search by field, range queries, regular expression searches • Queries can return specific fields of documents and also include user-defined JavaScript functions Indexing • Any field in a MongoDB document can be indexed • Secondary indices are also available MongoDB Features
- 12. Slide 12Slide 12Slide12 www.edureka.co/mongodb Replication • MongoDB provides high availability with replica sets i.e. • A replica set consists of two or more copies of the data • Each replica set member may act in the role of primary or secondary replica at any time • When a primary replica fails, the secondary should become the primary Load Balancing • MongoDB scales horizontally using sharding i.e. • The user chooses a shard key, which determines how the data in a collection will be distributed • The data is split into ranges (based on the shard key) and distributed across multiple shards File storage • MongoDB can be used as a file system, taking advantage of multiple machines for storing files • Exposes functions for file manipulation and content to developers • Load-balanced and fault-tolerant system MongoDB Features
- 13. Slide 13Slide 13Slide13 www.edureka.co/mongodb Replication • MongoDB provides high availability with replica sets i.e. • A replica set consists of two or more copies of the data • Each replica set member may act in the role of primary or secondary replica at any time • When a primary replica fails, the secondary should become the primary Load Balancing • MongoDB scales horizontally using sharding i.e. • The user chooses a shard key, which determines how the data in a collection will be distributed • The data is split into ranges (based on the shard key) and distributed across multiple shards File storage • MongoDB can be used as a file system, taking advantage of multiple machines for storing files • Exposes functions for file manipulation and content to developers • Load-balanced and fault-tolerant system MongoDB Features
- 14. Slide 14Slide 14Slide14 www.edureka.co/mongodb Replication • MongoDB provides high availability with replica sets i.e. • A replica set consists of two or more copies of the data • Each replica set member may act in the role of primary or secondary replica at any time • When a primary replica fails, the secondary should become the primary Load Balancing • MongoDB scales horizontally using sharding i.e. • The user chooses a shard key, which determines how the data in a collection will be distributed • The data is split into ranges (based on the shard key) and distributed across multiple shards File storage • MongoDB can be used as a file system, taking advantage of multiple machines for storing files • Exposes functions for file manipulation and content to developers • Load-balanced and fault-tolerant system MongoDB Features
- 15. Slide 15Slide 15Slide15 www.edureka.co/mongodb Aggregation • MapReduce can be used for batch processing of data and aggregation operations • The aggregation framework enables users to obtain the kind of results for which the SQL GROUP BY clause is used Server-side JavaScript execution • JavaScript can be used in queries, aggregation functions (such as MapReduce) and sent directly to the database to be executed Capped Collections • Supports fixed-size collections called capped collections • This type of collection maintains insertion order and once the specified size has been reached, behaves like a circular queue MongoDB Features
- 16. Slide 16Slide 16Slide16 www.edureka.co/mongodb Aggregation • MapReduce can be used for batch processing of data and aggregation operations • The aggregation framework enables users to obtain the kind of results for which the SQL GROUP BY clause is used Server-side JavaScript execution • JavaScript can be used in queries, aggregation functions (such as MapReduce) and sent directly to the database to be executed Capped Collections • Supports fixed-size collections called capped collections • This type of collection maintains insertion order and once the specified size has been reached, behaves like a circular queue MongoDB Features
- 17. Slide 17Slide 17Slide17 www.edureka.co/mongodb Aggregation • MapReduce can be used for batch processing of data and aggregation operations • The aggregation framework enables users to obtain the kind of results for which the SQL GROUP BY clause is used Server-side JavaScript execution • JavaScript can be used in queries, aggregation functions (such as MapReduce) and sent directly to the database to be executed Capped Collections • Supports fixed-size collections called capped collections • This type of collection maintains insertion order and once the specified size has been reached, behaves like a circular queue MongoDB Features
- 18. Slide 18Slide 18Slide18 www.edureka.co/mongodb MongoDB RDBMS Source : Google Trends Interest over time MongoDB is searched more over traditional RDBMS : MongoDB Search Trend
- 19. Slide 19Slide 19Slide19 www.edureka.co/mongodb As per indeed.com and linkedin there are most job posting for MongoDb and the skill index is continuously growing : MongoDB Job And Market Trend Source : linkedin
- 20. Slide 20Slide 20Slide20 www.edureka.co/mongodb Companies using MongoDB
- 21. Slide 21Slide 21Slide21 www.edureka.co/mongodb The Weather Channel turned to MongoDB to get killer features out to users quickly MongoDB Application
- 22. Slide 22Slide 22Slide22 www.edureka.co/mongodb Otto Reinvents E-commerce Personalization for More than 2 Million Visitors Per Day with MongoDB MongoDB Application
- 23. Slide 23Slide 23Slide23 www.edureka.co/mongodb Rethinking The Customer Experience at Metlife: From Stalled to Success in Three Months with MongoDB MongoDB Application
- 24. Slide 24Slide 24Slide24 www.edureka.co/mongodb ADP: Meeting Mobile Demands, One Innovative App at a Time MongoDB Application
- 25. Slide 25Slide 25Slide25 www.edureka.co/mongodb 3 Scenarios How Expedia uses MongoDB
- 26. Slide 26Slide 26Slide26 www.edureka.co/mongodb Scenario 1 When you need your results in real time inspite of changing schema MongoDB’s flexible document store and simple horizontal scale-out make it possible for Expedia to create a feature that gives every user a relevant, seamless shopping experience. That collects highly-dynamic customer information in real-time and presents personalized offers on the fly.
- 27. Slide 27Slide 27Slide27 www.edureka.co/mongodb Scenario 2 When you need flexible data model MongoDB’s flexible data model makes it easy to store any combination of city pairs, dates and destinations. Expedia can even continue shopping for someone after that customer has closed out a session. When the customer returns, all the latest pricing and availability for their searches are displayed side by side on their Scratchpad.
- 28. Slide 28Slide 28Slide28 www.edureka.co/mongodb Scenario 3 When you need indexing MongoDB's rich indexes are used to power analytics that make personalized suggestions to users while they shop. Expedia can also analyze patterns to pinpoint trends that offer a better understanding of what customers are looking for. For a consumer, personalization saves time, saves money, and gets them one step closer to what they’re really after i.e. a cool vacation. For Expedia, real-time personalization powered by MongoDB means customer loyalty, increased conversions and a competitive edge that goes straight to the bottom line.
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- 30. Slide 30 Your feedbackis vital for us, be it a compliment, a suggestion or a complaint. It helps us to make your experience better! Please spare few minutes to take the survey after the webinar. Survey