MongoDB is opensource DB, CRUD with MongoDB is not as same with other DB using SQL statements it can be achieved using NoSQL json queries which i have try explained here.
Webinar: Building Your First App with MongoDB and JavaMongoDB
This webinar will walk you through building a simple Java-based application in MongoDB. We’ll cover the basics of MongoDB’s document model, query language, aggregation framework, and deployment architecture.
In this webinar, you will discover:
- How easy it is to start building Java applications with MongoDB
- Key features for manipulating and accessing data
- High availability and scale-out architecture
- WriteConcerns and ReadPreference
Map/Confused? A practical approach to Map/Reduce with MongoDBUwe Printz
Talk given at MongoDb Munich on 16.10.2012 about the different approaches in MongoDB for using the Map/Reduce algorithm. The talk compares the performance of built-in MongoDB Map/Reduce, group(), aggregate(), find() and the MongoDB-Hadoop Adapter using a practical use case.
After a short introduction to the Java driver for MongoDB, we'll have a look at the more abtract persistence frameworks like Morphia, Spring Data, Jongo and Hibernate OGM.
MongoDB + Java - Everything you need to know Norberto Leite
Learn everything you need to know to get started building a MongoDB-based app in Java. We'll explore the relationship between MongoDB and various languages on the Java Virtual Machine such as Java, Scala, and Clojure. From there, we'll examine the popular frameworks and integration points between MongoDB and the JVM including Spring Data and object-document mappers like Morphia.
MongoDB is opensource DB, CRUD with MongoDB is not as same with other DB using SQL statements it can be achieved using NoSQL json queries which i have try explained here.
Webinar: Building Your First App with MongoDB and JavaMongoDB
This webinar will walk you through building a simple Java-based application in MongoDB. We’ll cover the basics of MongoDB’s document model, query language, aggregation framework, and deployment architecture.
In this webinar, you will discover:
- How easy it is to start building Java applications with MongoDB
- Key features for manipulating and accessing data
- High availability and scale-out architecture
- WriteConcerns and ReadPreference
Map/Confused? A practical approach to Map/Reduce with MongoDBUwe Printz
Talk given at MongoDb Munich on 16.10.2012 about the different approaches in MongoDB for using the Map/Reduce algorithm. The talk compares the performance of built-in MongoDB Map/Reduce, group(), aggregate(), find() and the MongoDB-Hadoop Adapter using a practical use case.
After a short introduction to the Java driver for MongoDB, we'll have a look at the more abtract persistence frameworks like Morphia, Spring Data, Jongo and Hibernate OGM.
MongoDB + Java - Everything you need to know Norberto Leite
Learn everything you need to know to get started building a MongoDB-based app in Java. We'll explore the relationship between MongoDB and various languages on the Java Virtual Machine such as Java, Scala, and Clojure. From there, we'll examine the popular frameworks and integration points between MongoDB and the JVM including Spring Data and object-document mappers like Morphia.
Development time is wasted as the bulk of the work shifts from adding business features to struggling with the RDBMS. MongoDB, the leading NoSQL database, offers a flexible and scalable solution.
Back to Basics Webinar 5: Introduction to the Aggregation FrameworkMongoDB
This is the fifth webinar of a Back to Basics series that will introduce you to the MongoDB database. This webinar will introduce you to the aggregation framework.
Benefits of Using MongoDB Over RDBMS (At An Evening with MongoDB Minneapolis ...MongoDB
Rapid Development and Performance By Transitioning from RDBMSs to MongoDB
Modern day application requirements demand rich & dynamic data structures, fast response times, easy scaling, and low TCO to match the rapidly changing customer & business requirements plus the powerful programming languages used in today's software landscape.
Traditional approaches to solutions development with RDBMSs increasingly expose the gap between the modern development languages and the relational data model, and between scaling up vs. scaling horizontally on commodity hardware. Development time is wasted as the bulk of the work has shifted from adding business features to struggling with the RDBMSs.
MongoDB, the premier NoSQL database, offers a flexible and scalable solution to focus on quickly adding business value again.
In this session, we will provide:
- Overview of MongoDB's capabilities
- Code-level exploration of the MongoDB programming model and APIs and how they transform the way developers interact with a database
- Update of the exciting features in MongoDB 3.0
MongoDB .local Chicago 2019: Practical Data Modeling for MongoDB: TutorialMongoDB
For 30 years, developers have been taught that relational data modeling was THE way to model, but as more companies adopt MongoDB as their data platform, the approaches that work well in relational design actually work against you in a document model design. In this talk, we will discuss how to conceptually approach modeling data with MongoDB, focusing on practical foundational techniques, paired with tips and tricks, and wrapping with discussing design patterns to solve common real world problems.
This talk will introduce the features of MongoDB by walking through how one can building a simple location-based checkin application using MongoDB. The talk will cover the basics of MongoDB's document model, query language, map-reduce framework and deployment architecture.
For developers new to MongoDB and Node.js, however, some the common design patterns are very different than those of a RDBMS and traditional synchronous languages. Developers learning these technologies together may find it a bit bewildering. In reality, however, these tools fit perfectly together and enable I high degree of developer productivity and application performance.
This webinar will walk developers through common MongoDB development patterns in Node.js, such as efficiently loading data into MongoDB using MongoDB's bulk API, iterating through query results, and managing simultaneous asynchronous MongoDB queries to provide the best possible application performance. Working Node.js and MongoDB examples will be used throughout the presentation.
What do you mean, Backwards Compatibility?Trisha Gee
Lessons learnt developing the new Java driver for MongoDB. This is a totally different version of my backwards compatibility talk, delivered at JFokus.
Development time is wasted as the bulk of the work shifts from adding business features to struggling with the RDBMS. MongoDB, the leading NoSQL database, offers a flexible and scalable solution.
Back to Basics Webinar 5: Introduction to the Aggregation FrameworkMongoDB
This is the fifth webinar of a Back to Basics series that will introduce you to the MongoDB database. This webinar will introduce you to the aggregation framework.
Benefits of Using MongoDB Over RDBMS (At An Evening with MongoDB Minneapolis ...MongoDB
Rapid Development and Performance By Transitioning from RDBMSs to MongoDB
Modern day application requirements demand rich & dynamic data structures, fast response times, easy scaling, and low TCO to match the rapidly changing customer & business requirements plus the powerful programming languages used in today's software landscape.
Traditional approaches to solutions development with RDBMSs increasingly expose the gap between the modern development languages and the relational data model, and between scaling up vs. scaling horizontally on commodity hardware. Development time is wasted as the bulk of the work has shifted from adding business features to struggling with the RDBMSs.
MongoDB, the premier NoSQL database, offers a flexible and scalable solution to focus on quickly adding business value again.
In this session, we will provide:
- Overview of MongoDB's capabilities
- Code-level exploration of the MongoDB programming model and APIs and how they transform the way developers interact with a database
- Update of the exciting features in MongoDB 3.0
MongoDB .local Chicago 2019: Practical Data Modeling for MongoDB: TutorialMongoDB
For 30 years, developers have been taught that relational data modeling was THE way to model, but as more companies adopt MongoDB as their data platform, the approaches that work well in relational design actually work against you in a document model design. In this talk, we will discuss how to conceptually approach modeling data with MongoDB, focusing on practical foundational techniques, paired with tips and tricks, and wrapping with discussing design patterns to solve common real world problems.
This talk will introduce the features of MongoDB by walking through how one can building a simple location-based checkin application using MongoDB. The talk will cover the basics of MongoDB's document model, query language, map-reduce framework and deployment architecture.
For developers new to MongoDB and Node.js, however, some the common design patterns are very different than those of a RDBMS and traditional synchronous languages. Developers learning these technologies together may find it a bit bewildering. In reality, however, these tools fit perfectly together and enable I high degree of developer productivity and application performance.
This webinar will walk developers through common MongoDB development patterns in Node.js, such as efficiently loading data into MongoDB using MongoDB's bulk API, iterating through query results, and managing simultaneous asynchronous MongoDB queries to provide the best possible application performance. Working Node.js and MongoDB examples will be used throughout the presentation.
What do you mean, Backwards Compatibility?Trisha Gee
Lessons learnt developing the new Java driver for MongoDB. This is a totally different version of my backwards compatibility talk, delivered at JFokus.
Building your first application w/mongoDB MongoSV2011Steven Francia
This talk will introduce the features of MongoDB by walking through how one can building a simple location-based application using MongoDB. The talk will cover the basics of MongoDB's document model, query language, map-reduce framework and deployment architecture.
Back to Basics: My First MongoDB ApplicationMongoDB
This Back to Basics webinar series will introduce you to NoSQL and the MongoDB database. You will find out what MongoDB is, why you would use it, and what you would use it for.
This webinar will walk you through building a simple location-based check-in app in MongoDB. We’ll cover the basics of MongoDB’s document model, query language, map reduce framework, and deployment architecture.
In this webinar you will discover:
- Why MongoDB is being adopted in organizations large and small
- How easy it is to start building applications with MongoDB
- Key features for manipulating and accessing data
- High availability and scale-out architecture
Introduction to MongoDB
MongoDB Database
Document Model
BSON
Data Model
CRUD operations
High Availability and Scalability
Replication
Sharding
Hands-On MongoDB
Trivadis TechEvent 2016 Polybase challenges Hive relational access to non-rel...Trivadis
In this presentation, Olaf Nimz talks about a proposed marriage between SQL Server and Hadoop, about Building Bridges to HDFS, Distributed query processing and about Sensible Hybrid Scenarios.
Intro to MongoDB
Get a jumpstart on MongoDB, use cases, and next steps for building your first app with Buzz Moschetti, MongoDB Enterprise Architect.
@BuzzMoschetti
Normal Labour/ Stages of Labour/ Mechanism of LabourWasim Ak
Normal labor is also termed spontaneous labor, defined as the natural physiological process through which the fetus, placenta, and membranes are expelled from the uterus through the birth canal at term (37 to 42 weeks
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
Safalta Digital marketing institute in Noida, provide complete applications that encompass a huge range of virtual advertising and marketing additives, which includes search engine optimization, virtual communication advertising, pay-per-click on marketing, content material advertising, internet analytics, and greater. These university courses are designed for students who possess a comprehensive understanding of virtual marketing strategies and attributes.Safalta Digital Marketing Institute in Noida is a first choice for young individuals or students who are looking to start their careers in the field of digital advertising. The institute gives specialized courses designed and certification.
for beginners, providing thorough training in areas such as SEO, digital communication marketing, and PPC training in Noida. After finishing the program, students receive the certifications recognised by top different universitie, setting a strong foundation for a successful career in digital marketing.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
2. CRUD Operations
CRUD Operations
• INSERT
Insert documents into objects. Let say we have JSON file format (customer.json)
{
"name" : "Khairul",
"custID" : "A11",
"email" : "i@gmail.com",
"phone" : "0135813392"
}
BasicDBObject note = new BasicDBObject("name", "Khairul")
.append("custID", "A11")
.append("email"," i@gmail.com ")
.append("phone","0135913392");
coll.insert(note);
•READ
To prove that the document is inserted,then use :
DBObject myNote = coll.findOne();
System.out.println(myNote);
3. CRUD perations
•UPDATE
BasicDBObject NewMyNote = new BasicDBObject;
NewMyNote.put("Name","Khairul Filhan");
BasicDBObject searchquery = new BasicDBObject().append("Name","Khairul");
collection.update(searchquery,newMyNote);
Find document
•DELETE
NewMyNote.append("custID","A11");
collection.remove(NewMyNote);
Remove a document that
contains customer ID of A11
4. Concepts
•ObjectID
- MongoDB defines objectID as an unique ID for specific data. Document stored
require a unique id ( _id ).
- The _id acts as primary key and will be used for querying.
- MongoDB uses objectID as the default value for the _id field if the _id field is not
specified.
- If a client doesnt add _id field, then mongod will add it.
- _id field holds an objectID.
•How to make references from one document
to another document.
original_id = ObjectId()
db.places.insert({
"_id": original_id,
"PhoneName": "Galaxy Trend Plus",
"details": "middle-range"
})
db.people.insert({
"PhoneName": "Iphone5",
"places_id": original_id,
"details": "high range "
})
Use _id field of the first document
to the reference in the second document.
5. t
•SORTING
- cursor.sort(sort) specifies the order of returning the matching
documents.
- Ascending/Descending sort { name : 1,phone : -1 }
- MongoDB comparison order refer to website :
http://docs.mongodb.org/manual/reference/method/cursor.sort/
-
BasicDBObject query = new BasicDBObject();
query.put("_id", new BasicDBObject("$lt", "Khairul"));
DBCursor cursor =
collection.find(query).sort(new BasicDBObject("_id","-1"));
for (DBObject db : cursor) {
System.out.println(db);
}
6. t
•Security in MongoDB
- Provides authentication by using MongoDB - CR(challange response).
It authenticates users through passwords.
Mongo mongo = new Mongo("localhost", 27017);
DB db = mongo.getDB("admin");
boolean auth = db.authenticate("myUser", "newPassword".toCharArray());
DB db = mongo.getDB("myData");
Declaration is a must for
every single users
7. t
•SCALING
3 main aspects of scaling :
- Cluster Scale
- Performance Scale
- Data Scale
As the the data growth bigger and bigger,then we can manage and make
it efficient by using 2 methods :
Vertical Scaling - Add more CPU's or resources to increase capacity.
Sharding - Divides and distributes the data set over multiple servers.