This document provides an overview of MongoDB for Java developers. It discusses what MongoDB is, how it compares to relational databases, common use cases, data modeling approaches, CRUD operations, indexing, aggregation, replication, sharding, and tools for integrating MongoDB with Java applications. The document contains multiple code examples and concludes with a demonstration of building a sample app with MongoDB.
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
Slidedeck presented at http://devternity.com/ around MongoDB internals. We review the usage patterns of MongoDB, the different storage engines and persistency models as well has the definition of documents and general data structures.
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
Slidedeck presented at http://devternity.com/ around MongoDB internals. We review the usage patterns of MongoDB, the different storage engines and persistency models as well has the definition of documents and general data structures.
In this presentation, Raghavendra BM of Valuebound has discussed the basics of MongoDB - an open-source document database and leading NoSQL database.
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Get Socialistic
Our website: http://valuebound.com/
LinkedIn: http://bit.ly/2eKgdux
Facebook: https://www.facebook.com/valuebound/
Twitter: http://bit.ly/2gFPTi8
This talk is focused on tuning analysing and optimizing MongoDB query and index with the use of Database Profiler and "explain()" function.
Also, performance of database can also be impacted by configuring the underline ( Linux ) OS with some recommended settings which do not come by default.
MongoDB is the most famous and loved NoSQL database. It has many features that are easy to handle when compared to conventional RDBMS. These slides contain the basics of MongoDB.
MongoDB is an open-source document database, and the leading NoSQL database. Written in C++.
MongoDB has official drivers for a variety of popular programming languages and development environments. There are also a large number of unofficial or community-supported drivers for other programming languages and frameworks.
Optimizing MariaDB for maximum performanceMariaDB plc
When it comes to optimizing the performance of a database, DBAs have to look at everything from the OS to the network. In this session, MariaDB Enterprise Architect Manjot Singh shares best practices for getting the most out of MariaDB. He highlights recommended OS settings, important configuration and tuning parameters, options for improving replication and clustering performance and features such as query result caching.
These are slides from our Big Data Warehouse Meetup in April. We talked about NoSQL databases: What they are, how they’re used and where they fit in existing enterprise data ecosystems.
Mike O’Brian from 10gen, introduced the syntax and usage patterns for a new aggregation system in MongoDB and give some demonstrations of aggregation using the new system. The new MongoDB aggregation framework makes it simple to do tasks such as counting, averaging, and finding minima or maxima while grouping by keys in a collection, complementing MongoDB’s built-in map/reduce capabilities.
For more information, visit our website at http://casertaconcepts.com/ or email us at info@casertaconcepts.com.
Modeling Data and Queries for Wide Column NoSQLScyllaDB
Discover how to model data for wide column databases such as ScyllaDB and Apache Cassandra. Contrast the differerence from traditional RDBMS data modeling, going from a normalized “schema first” design to a denormalized “query first” design. Plus how to use advanced features like secondary indexes and materialized views to use the same base table to get the answers you need.
MongoDB quickstart for Java, PHP, and Python developersRick Hightower
Quick introduction to MongoDB.
Covers major features, CRUD, DB operations, comparison to SQL, basic console, etc.
Covers architecture of Replica Sets, Autosharding, MapReudce, etc.
Examples in JavaScript, Java, PHP and Python.
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.
In this presentation, Raghavendra BM of Valuebound has discussed the basics of MongoDB - an open-source document database and leading NoSQL database.
----------------------------------------------------------
Get Socialistic
Our website: http://valuebound.com/
LinkedIn: http://bit.ly/2eKgdux
Facebook: https://www.facebook.com/valuebound/
Twitter: http://bit.ly/2gFPTi8
This talk is focused on tuning analysing and optimizing MongoDB query and index with the use of Database Profiler and "explain()" function.
Also, performance of database can also be impacted by configuring the underline ( Linux ) OS with some recommended settings which do not come by default.
MongoDB is the most famous and loved NoSQL database. It has many features that are easy to handle when compared to conventional RDBMS. These slides contain the basics of MongoDB.
MongoDB is an open-source document database, and the leading NoSQL database. Written in C++.
MongoDB has official drivers for a variety of popular programming languages and development environments. There are also a large number of unofficial or community-supported drivers for other programming languages and frameworks.
Optimizing MariaDB for maximum performanceMariaDB plc
When it comes to optimizing the performance of a database, DBAs have to look at everything from the OS to the network. In this session, MariaDB Enterprise Architect Manjot Singh shares best practices for getting the most out of MariaDB. He highlights recommended OS settings, important configuration and tuning parameters, options for improving replication and clustering performance and features such as query result caching.
These are slides from our Big Data Warehouse Meetup in April. We talked about NoSQL databases: What they are, how they’re used and where they fit in existing enterprise data ecosystems.
Mike O’Brian from 10gen, introduced the syntax and usage patterns for a new aggregation system in MongoDB and give some demonstrations of aggregation using the new system. The new MongoDB aggregation framework makes it simple to do tasks such as counting, averaging, and finding minima or maxima while grouping by keys in a collection, complementing MongoDB’s built-in map/reduce capabilities.
For more information, visit our website at http://casertaconcepts.com/ or email us at info@casertaconcepts.com.
Modeling Data and Queries for Wide Column NoSQLScyllaDB
Discover how to model data for wide column databases such as ScyllaDB and Apache Cassandra. Contrast the differerence from traditional RDBMS data modeling, going from a normalized “schema first” design to a denormalized “query first” design. Plus how to use advanced features like secondary indexes and materialized views to use the same base table to get the answers you need.
MongoDB quickstart for Java, PHP, and Python developersRick Hightower
Quick introduction to MongoDB.
Covers major features, CRUD, DB operations, comparison to SQL, basic console, etc.
Covers architecture of Replica Sets, Autosharding, MapReudce, etc.
Examples in JavaScript, Java, PHP and Python.
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.
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.
Webinar: Data Processing and Aggregation OptionsMongoDB
MongoDB scales easily to store mass volumes of data. However, when it comes to making sense of it all what options do you have? In this talk, we'll take a look at 3 different ways of aggregating your data with MongoDB, and determine the reasons why you might choose one way over another. No matter what your big data needs are, you will find out how MongoDB the big data store is evolving to help make sense of your data.
Dan Sullivan - Data Analytics and Text Mining with MongoDB - NoSQL matters Du...NoSQLmatters
Data analysis is an exploratory process that requires a variety of tools and a flexible data store. Data analysis projects are easy to start but quickly become difficult to manage and error prone when depending on file-based data storage. Relational databases are poorly equipped to accommodate the dynamic demands complex analysis. This talk describes best practices for using MongoDB for analytics projects. Examples will be drawn from a large scale text mining project (approximately 25 million documents) that applies machine learning (neural networks and support vector machines) and statistical analysis. Tools discussed include R, Spark, Python scientific stack, and custom pre-processing scripts but the focus is on using these with the document database.
Presented in DDD Melbourne on on Sat Aug 8th 2015
Himanshu Desai, Ahmed El-Harouny & Daniel Janczak
DocumentDB, Mongo or RavenDB? If you are starting out on a new project and considering NoSQL database as an option, which one should you do choose? What if the option you choose today may not work out to be the best one for your needs?
Come and join us for this session, we will take you on a journey where we will explain each of these database on their merits and compare them and also share War stories.
http://dddmelbourne.com
These are the slides I presented at the Nosql Night in Boston on Nov 4, 2014. The slides were adapted from a presentation given by Steve Francia in 2011. Original slide deck can be found here:
http://spf13.com/presentation/mongodb-sort-conference-2011
MongoDB has taken a clear lead in adoption among the new generation of databases, including the enormous variety of NoSQL offerings. A key reason for this lead has been a unique combination of agility and scalability. Agility provides business units with a quick start and flexibility to maintain development velocity, despite changing data and requirements. Scalability maintains that flexibility while providing fast, interactive performance as data volume and usage increase. We'll address the key organizational, operational, and engineering considerations to ensure that agility and scalability stay aligned at increasing scale, from small development instances to web-scale applications. We will also survey some key examples of highly-scaled customer applications of MongoDB.
This presentation was given at the LDS Tech SORT Conference 2011 in Salt Lake City. The slides are quite comprehensive covering many topics on MongoDB. Rather than a traditional presentation, this was presented as more of a Q & A session. Topics covered include. Introduction to MongoDB, Use Cases, Schema design, High availability (replication) and Horizontal Scaling (sharding).
MongoDB Basics - An introduction of mongo for beginners.
Covered basic of Indexing, Replicaset, Covered queries, Backup tools and Why we need mongo and some use cases.
MongoDB Introduction talk at Dr Dobbs Conference, MongoDB Evenings at Bangalo...Prasoon Kumar
MongoDB is a leading nosql database. It is horizonatally scalable, document datastore. In this introduction given at Dr Dobbs Conference, Bangalore and Pune in April 2014, I show schema design with an example blog application and Python code snippets. I delivered the same in the maiden MongoDB Evening event at Delhi and Gurgaon in May 2014.
When constructing a data model for your MongoDB collection for CMS, there are various options you can choose from, each of which has its strengths and weaknesses. The three basic patterns are:
1.Store each comment in its own document.
2.Embed all comments in the “parent” document.
3.A hybrid design, stores comments separately from the “parent,” but aggregates comments into a small number of documents, where each contains many comments.
Code sample and wiki documentation is available on https://github.com/prasoonk/mycms_mongodb/wiki.
When it comes time to select database software for your project, there are a bewildering number of choices. How do you know if your project is a good fit for a relational database, or whether one of the many NoSQL options is a better choice?
In this webinar you will learn when to use MongoDB and how to evaluate if MongoDB is a fit for your project. You will see how MongoDB's flexible document model is solving business problems in ways that were not previously possible, and how MongoDB's built-in features allow running at scale.
Topics covered include:
Performance and Scalability
MongoDB's Data Model
Popular MongoDB Use Cases
Customer Stories
This presentation will discuss scalability best practices with MongoDB. We will review how the following affect scalability: schema design, locking granularity within versions and engines, scaling vertically or horizontally, and collection sharding. Understanding how these topics can affect your application will help you avoid complications as your data and workload grows.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
2. Who am I?
• Internship at Provikmo
• 3 years 6 months
• Competitive cyclist
3. What is MongoDB?
• The leading NoSQL database (http://db-engines.com/en/)
• Open source
• Non-relational JSON document store
• BSON (Binary JSON)
• Dynamic schema
• Agile
• Scalable through replicaton and sharding
3
4. The leading NoSQL database
4
• LinkedIn Job Skills
• Google Search
• Indeed.com Trends
19. Data Models
• Flexible schema
• Collections do not enforce document structure
• Consider how applications will use your database
• No foreign keys, no joins
• Relationships between data
• Embedded documents
• References
• Documents require a unique _id field that acts as a primary key
19
20. Data Models
• Denormalized
• Better read performance
• Single atomic write operation
• Document growth
• Dot notation
20
Embedded Data Models
21. Data Model
• One-to-One Relationship
21
Embedded Data Models
{
_id: "infasla",
name: "Anthony Slabinck",
address: {
street: "123 Fake Street",
city: "Faketon",
state: "MA",
zip: "12345"
}
}
26. GridFS
• BSON-document size limit of 16MB
• Divides a file into parts, or chunks and stores each of those chunks as
a separate document
• Two collections
• File chunks
• File metadata
• Reassemble chunks as needed
26
27. Capped Collections
• Fixed-size collections
• Insert and retrieve documents based on insertion order
• Automatically removes the oldest document
• Ideal for logging
27
28. Aggregation
• Operations that process data records and return computed results
• Simplifies application code
• Limits resource requirements
• Aggregation modalities
• Aggregation pipelines
• Map-Reduce
• Single purpose aggregation operations
28
32. Indexes
• Efficient execution of queries
• Data structure
• Stores the value of a specific
field or set of fields, ordered by
value the field
• Create indexes that support
your common and user-facing
queries
32
33. Indexes
• Default _id
• Single Field
• Compound Index
• Multikey Index
• Geospatial Index
• Text Indexes
• Hashed Indexes
33
Types
37. Replication
• A group of mongod instances
that host the same data set
• Primary receives all write
operations
• Primary logs all changes in its
oplog
• Secondaries apply operations
from the primary
37
Replica set
41. Sharding
• What?
• Storing data across multiple machines
• When?
• High query rates exhaust the CPU capacity of the server
• Larger data sets exceed the storage capacity of a single machine
• Working set sizes larger than the system’s RAM stress the I/O capacity of
disk drives
41
44. Sharding
• Shards store the data
• Query Routers interface with
client applications and direct
operations
• Config servers store the
cluster’s metadata
44
Sharded cluster
45. Sharding
• Collection level
• Shard key
• Indexed field or an indexed
compound field that exists in
every document
• Chunks
• Range based partitioning
• Hash based partitioning
• Automatic balancing
45
Data partitioning
47. MongoDB at scale
• Cluster scale
• Distributing across 100+ nodes in multiple data centers
• Performance scale
• 100K+ database reads and writes per second while maintaining strict SLAs
• Data scale
• Storing 1B+ documents in the database
47
Metrics
48. Lower TCO
• Dev/Ops savings
• Ease of use
• Fast, iterative development
• Hardware savings
• Commodity hardware
• Scale out
• Software/Support savings
• No upfront licence
48
Relational database