MongoDB
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MongoDB is a non-relational database that uses a document-based data model. It is an alternative to traditional relational databases and is optimized for storing large amounts of unstructured and semi-structured data. MongoDB does not require a predefined schema and allows flexible, dynamic queries against documents using JavaScript. While relational databases are better suited for transactions, MongoDB is designed for horizontal scalability, faster queries, and flexible data modeling.
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![What does it look like?
{ "_id" : ObjectId("4d240d296266ea4ff500000a"),
"first_name" : "Nick", "last_name" : "Zalabak",
"addresses" : [
{"street" : "123 Foo Bar Ave","city": "Chicago","state":
"IL"},
{"street": "1 Mongo Blvd", "city": "Blah", "state": "CA"} ],
"social_networks" : [
{"user_id": "user1", "sn": "twitter"},
{"user_id": "user2", "sn": "facebook"}
],
"phone_numbers" : [ "123-345-1345", "555-555-5785"] }](https://image.slidesharecdn.com/mongodb-110105233629-phpapp02/85/MongoDB-9-320.jpg)
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MongoDB Knowledge share
MongoDB Knowledge shareMr Kyaing This document provides an overview of MongoDB including what MongoDB is, its advantages over SQL databases, different types of NoSQL databases, and basic CRUD operations in MongoDB using examples. Key points covered include MongoDB being a document-based and schema-less database, its advantages like scalability and flexibility with semi-structured data, the four main types of NoSQL databases, and examples of insert, find, update, and remove operations in MongoDB.
Online | MongoDB Atlas on GCP Workshop 
Online | MongoDB Atlas on GCP Workshop Natasha Wilson On Tuesday 18th March, the MongoDB team held on online Cloud Workshop in place of the in-person event which was planned.
Attendees learnt how to build modern, event driven applications powered by MongoDB Atlas in Google Cloud Platform (GCP) and were shown relevant operational and security best practices, to get started immediately with their own digital transformations.
Introduction to MongoDB and Workshop
Introduction to MongoDB and WorkshopAhmedabadJavaMeetup Agenda:
MongoDB Overview/History
Workshop
1. How to perform operations to MongoDB – Workshop
2. Using MongoDB in your Java application
Advance usage of MongoDB
1. Performance measurement comparison – real life use cases
3. Doing Cluster setup
4. Cons of MongoDB with other document oriented DB
5. Map-reduce/ Aggregation overview
Workshop prerequisite
1. All participants must bring their laptops.
2. https://github.com/geek007/mongdb-examples
3. Software prerequisite
a. Java version 1.6+
b. Your favorite IDE, Preferred http://www.jetbrains.com/idea/download/
c. MongoDB server version – 2.6.3 (http://www.mongodb.org/downloads - 64 bit version)
d. Participants can install MongoDB client – http://robomongo.org/
About Speaker:
Akbar Gadhiya is working with Ishi Systems as Programmer Analyst. Previously he worked with PMC, Baroda and HCL Technologies.
MongoDB Schema Design: Practical Applications and Implications
MongoDB Schema Design: Practical Applications and ImplicationsMongoDB Presented by Austin Zellner, Solutions Architect, MongoDB
Schema design is as much art as it is science, but it is central to understanding how to get the most out of MongoDB. Attendees will walk away with an understanding of how to approach schema design, what influences it, and the science behind the art. After this session, attendees will be ready to design new schemas, as well as re-evaluate existing schemas with a new mental model.
Talk MongoDB - Amil
Talk MongoDB - Amilremoved_b0e2342824f6227286f54ba461ebc0fe MongoDB is a scalable, high-performance, open-source NoSQL database that stores data in flexible, JSON-like documents. It is used by organizations of all sizes for applications where low latency and high availability are important. MongoDB is document-based, schemaless, and supports high performance, horizontal scalability through sharding and replication.
Managing Social Content with MongoDB
Managing Social Content with MongoDBMongoDB Media owners are turning to MongoDB to drive social interaction with their published content. The way customers consume information has changed and passive communication is no longer enough. They want to comment, share and engage with publishers and their community through a range of media types and via multiple channels whenever and wherever they are. There are serious challenges with taking this semi-structured and unstructured data and making it work in a traditional relational database. This webinar looks at how MongoDB’s schemaless design and document orientation gives organisation’s like the Guardian the flexibility to aggregate social content and scale out.
Eagle6 mongo dc revised
Eagle6 mongo dc revisedMongoDB This document discusses MongoDB and the needs of Rivera Group, an IT services company. It notes that Rivera Group has been using MongoDB since 2012 to store large, multi-dimensional datasets with heavy read/write and audit requirements. The document outlines some of the challenges Rivera Group faces around indexing, aggregation, and flexibility in querying datasets.
Eagle6 Enterprise Situational Awareness
Eagle6 Enterprise Situational AwarenessMongoDB Eagle6 is a product that use system artifacts to create a replica model that represents a near real-time view of system architecture. Eagle6 was built to collect system data (log files, application source code, etc.) and to link system behaviors in such a way that the user is able to quickly identify risks associated with unknown or unwanted behavioral events that may result in unknown impacts to seemingly unrelated down-stream systems. This session is designed to present the capabilities of the Eagle6 modeling product and how we are using MongoDB to support near-real-time analysis of large disparate datasets.
MongoDB Meetup
MongoDB MeetupMaxime Beugnet The document discusses MongoDB and how it allows storing data in flexible, document-based collections rather than rigid tables. Some key points:
- MongoDB uses a flexible document model that allows embedding related data rather than requiring separate tables joined by foreign keys.
- It supports dynamic schemas that allow fields within documents to vary unlike traditional SQL databases that require all rows to have the same structure.
- Aggregation capabilities allow complex analytics to be performed directly on the data without requiring data warehousing or manual export/import like with SQL databases. Pipelines of aggregation operations can be chained together.
Database Wizardry for Legacy Applications
Database Wizardry for Legacy ApplicationsGabriela Ferrara - The presentation discussed optimizing database queries for legacy applications, including using the correct data structures, avoiding inefficient queries, and considering alternative databases or solutions.
- Examples showed how hierarchical and graph databases can optimize queries that are inefficient in a relational database, and how adding indexes or using NoSQL databases like MongoDB can improve query performance.
- Simple solutions like queues, files, or additional layers for search can be better than over-engineering solutions, and the best approach considers tradeoffs between different options.
introtomongodb
introtomongodbsaikiran MongoDB is a scalable, high-performance, open-source NoSQL database that uses documents with dynamic schemas instead of tables. It supports embedded documents and arrays, replication, and sharding. MongoDB is commonly used for web applications, content management, real-time analytics, and caching due to its fast performance for typical web operations. Some key companies using MongoDB in production include eBay, Craigslist, Foursquare, and Sourceforge.
Intro To Mongo Db
Intro To Mongo Dbchriskite This document provides an introduction to MongoDB, including what it is, why it may be used, and how its data model works. Some key points:
- MongoDB is a non-relational database that stores data in flexible, JSON-like documents rather than fixed schema tables.
- It offers advantages like dynamic schemas, embedding of related data, and fast performance at large scales.
- Data is organized into collections of documents, which can contain sub-documents to represent one-to-many relationships without joins.
- Queries use JSON-like syntax to search for patterns in documents, and indexes can improve performance.
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MongoDB
- 2. What is "NoSQL"? Complement, not replace, traditional relational databases Different ways to store large quantities of denormalized data Key/Value = Redis, Riak Tabular / "Big Table" = HBase, Cassandra Document = MongoDB, CouchDB No schema Map/Reduce Easy scalability
- 3. RDMS is just fine YES! When you must guarantee transactional/ACID behavior When you must have strict constraints But...not when these are more important Faster queries Horizontal scalability Flexible design
- 4. Data Modeling with SQL
- 5. Joins? We ain't got no stinking joins
- 6. Data Modeling with MongoDB
- 7. Beware the N+1 problem does lurk Having no method for joining means we could have a lot of queries on our hands if we do establish a large one-to-many relationship outside of our "User" document
- 8. MongoDB, BSON, and You MongoDB does "document" storage JSON is a popular lightweight data structure BSON is a binary encoded serialized JSON document Programming languages map to-from BSON easily Most languages have a dictionary or hash
- 9. What does it look like? { "_id" : ObjectId("4d240d296266ea4ff500000a"), "first_name" : "Nick", "last_name" : "Zalabak", "addresses" : [ {"street" : "123 Foo Bar Ave","city": "Chicago","state": "IL"}, {"street": "1 Mongo Blvd", "city": "Blah", "state": "CA"} ], "social_networks" : [ {"user_id": "user1", "sn": "twitter"}, {"user_id": "user2", "sn": "facebook"} ], "phone_numbers" : [ "123-345-1345", "555-555-5785"] }
- 10. How do I install MongoDB? Go to http://www.mongodb.org/downloads For Macs I'd recommend using Brew brew install mongodb For Linux, it depends on your distro Pre-Packaged for Ubuntu/Debian Pre-Packaged for CentOS/Fedora/Redhat Good old source! There are even installers for WinDoze
- 11. The './mongo' Console MongoDB has a console very much like MySQL >./mongo > help OK, how do I query to find my stuff?
- 12. The new query language you already know MongoDB <3 JSON <3 JavaScript
- 13. SQL to Mongo Operations SQL Statement Mongo Query Language Statement CREATE TABLE USERS (a Number, b Number) implicit. MongoDB is "lazy". INSERT INTO USERS VALUES(1,1) db.users.insert({a:1,b:1})db.users.find({}, {a:1,b:1}) SELECT a,b FROM users SELECT a,b FROM users WHERE db.users.find({age:33}, {a:1,b:1})db.users.find({'age': age=33SELECT * FROM users WHERE {$gt:33}})})db.users.find({name:/Joe/}) age>33SELECT * FROM users WHERE name LIKE "%Joe%" EXPLAIN SELECT * FROM users WHERE z=3SELECT db.users.find({z:3}).explain()db.users.distinct('last_name') db. DISTINCT last_name FROM users UPDATE users SET users.update({b:'q'}, {$set:{a:1}}, false, true) a=1 WHERE b='q' DELETE FROM users WHERE z="abc" db.users.remove({z:'abc'});
- 14. The Compelling Sales Pitch