MongoDB is an open-source document-oriented database that provides horizontal scalability, high performance, and flexibility. It stores data in flexible, JSON-like documents, allowing for easy storage and retrieval of heterogeneous data. MongoDB provides features like sharding, replication, and high availability to allow databases to scale horizontally and handle large volumes of both structured and unstructured data.
MongoDB: The Operational Big Data by NORBERTO LEITE at Big Data Spain 2014Big Data Spain
When one starts analysing the BigData technology spectrum we can find several different solutions for several different purposes. This is may cause confusion, uncertainty and doubts on what to chose and what for. Both on technical and business decision makers. This talk is to shed some light on where you should consider MongoDB for your BigData strategy and how to make the most out of the dominant technologies of the field.
MongoDB is the leading NoSQL database due to a plenitude of reasons, open source, general purpose, document oriented database supported by a large community and educational platform. It's horizontal scalability features allows this to fit in the operational big data scenarios where the business needs point to realtime analytics and ever-increasing data sets. This talk will focus on the usage of MongoDB for big data operational purposes and why it's ideal to be used in such scenarios. Also integration with other notable big data technology out there like Hadoop and BI tools.
Norberto Leite - Senior Solutions Architect, @MongoDB.
Mongo DB presentation during the Pentaho & Big Data Ecosystem - Live Seminar 2013
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
Webinar: Faster Big Data Analytics with MongoDBMongoDB
Learn how to leverage MongoDB and Big Data technologies to derive rich business insight and build high performance business intelligence platforms. This presentation includes:
- Uncovering Opportunities with Big Data analytics
- Challenges of real-time data processing
- Best practices for performance optimization
- Real world case study
This presentation was given in partnership with CIGNEX Datamatics.
Webinar: An Enterprise Architect’s View of MongoDBMongoDB
In the world of big data, legacy modernization, siloed organizations, empowered customers, and mobile devices, making informed choices about your enterprise infrastructure has become more important than ever. The alternatives are abundant, and the successful Enterprise Architect must constantly discern which new technology is just a shiny object and which will add true business value.
MongoDB is more than just a great application database for developers; it gives Enterprise Architects new capabilities to solve previously difficult architectural requirements much more easily. Take for example the challenge of many siloed systems at MetLife – with MongoDB, the Metlife team was able to successfully provide a single view into those 70 systems, in only 3 months.
In this webinar, we will:
Explore real life challenges enterprises face with case studies of their solutions
Consider how best to introduce MongoDB in the enterprise
Give an overview of how to optimize the use of MongoDB
MongoDB: The Operational Big Data by NORBERTO LEITE at Big Data Spain 2014Big Data Spain
When one starts analysing the BigData technology spectrum we can find several different solutions for several different purposes. This is may cause confusion, uncertainty and doubts on what to chose and what for. Both on technical and business decision makers. This talk is to shed some light on where you should consider MongoDB for your BigData strategy and how to make the most out of the dominant technologies of the field.
MongoDB is the leading NoSQL database due to a plenitude of reasons, open source, general purpose, document oriented database supported by a large community and educational platform. It's horizontal scalability features allows this to fit in the operational big data scenarios where the business needs point to realtime analytics and ever-increasing data sets. This talk will focus on the usage of MongoDB for big data operational purposes and why it's ideal to be used in such scenarios. Also integration with other notable big data technology out there like Hadoop and BI tools.
Norberto Leite - Senior Solutions Architect, @MongoDB.
Mongo DB presentation during the Pentaho & Big Data Ecosystem - Live Seminar 2013
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
Webinar: Faster Big Data Analytics with MongoDBMongoDB
Learn how to leverage MongoDB and Big Data technologies to derive rich business insight and build high performance business intelligence platforms. This presentation includes:
- Uncovering Opportunities with Big Data analytics
- Challenges of real-time data processing
- Best practices for performance optimization
- Real world case study
This presentation was given in partnership with CIGNEX Datamatics.
Webinar: An Enterprise Architect’s View of MongoDBMongoDB
In the world of big data, legacy modernization, siloed organizations, empowered customers, and mobile devices, making informed choices about your enterprise infrastructure has become more important than ever. The alternatives are abundant, and the successful Enterprise Architect must constantly discern which new technology is just a shiny object and which will add true business value.
MongoDB is more than just a great application database for developers; it gives Enterprise Architects new capabilities to solve previously difficult architectural requirements much more easily. Take for example the challenge of many siloed systems at MetLife – with MongoDB, the Metlife team was able to successfully provide a single view into those 70 systems, in only 3 months.
In this webinar, we will:
Explore real life challenges enterprises face with case studies of their solutions
Consider how best to introduce MongoDB in the enterprise
Give an overview of how to optimize the use of MongoDB
MongoDB Evenings DC: Get MEAN and Lean with Docker and KubernetesMongoDB
Get MEAN and Lean with Docker and Kubernetes
Vadim Polyakov, Director of Enterprise Application Architecture, Inovalon
MongoDB Evenings DC
April 12, 2016 at 1776
Webinar: Enterprise Trends for Database-as-a-ServiceMongoDB
Two complementary trends are particularly strong in enterprise IT today: MongoDB itself, and the movement of infrastructure, platform, and software to as-a-service models. Being designed from the start to work in cloud deployments, MongoDB is a natural fit.
Learn how your enterprise can create its own MongoDB service offering, combining the advantages of MongoDB and cloud for agile, nearly-instantaneous deployments. Ease your operations workload by centralizing your points for enforcement, standardize best policies, and enable elastic scalability.
We will provide you with an enterprise planning outline which incorporates needs and value for stakeholders across operations, development, and business. We will cover accounting, chargeback integration, and quantification of benefits to the enterprise (such as standardizing best practices, creating elastic architecture, and reducing database maintenance costs).
AWS is an incredibly popular environment for running MongoDB deployments. Today you have many choices about instance type, storage, network config, security, how you configure MongoDB processes, and more. In addition, you now have options when it comes to tooling to help you manage and operate your deployment. In this session, we’ll take a look at several recommendations that can help you get the best performance out of AWS.
A fotopedia presentation made at the MongoDay 2012 in Paris at Xebia Office.
Talk by Pierre Baillet and Mathieu Poumeyrol.
French Article about the presentation:
http://www.touilleur-express.fr/2012/02/06/mongodb-retour-sur-experience-chez-fotopedia/
Video to come.
MongoDb is a document oriented database and very flexible one as it gives horizontal scalability.
In this presentation basic study about mongodb with installation steps and basic commands are described.
MongoDB Evenings DC: Get MEAN and Lean with Docker and KubernetesMongoDB
Get MEAN and Lean with Docker and Kubernetes
Vadim Polyakov, Director of Enterprise Application Architecture, Inovalon
MongoDB Evenings DC
April 12, 2016 at 1776
Webinar: Enterprise Trends for Database-as-a-ServiceMongoDB
Two complementary trends are particularly strong in enterprise IT today: MongoDB itself, and the movement of infrastructure, platform, and software to as-a-service models. Being designed from the start to work in cloud deployments, MongoDB is a natural fit.
Learn how your enterprise can create its own MongoDB service offering, combining the advantages of MongoDB and cloud for agile, nearly-instantaneous deployments. Ease your operations workload by centralizing your points for enforcement, standardize best policies, and enable elastic scalability.
We will provide you with an enterprise planning outline which incorporates needs and value for stakeholders across operations, development, and business. We will cover accounting, chargeback integration, and quantification of benefits to the enterprise (such as standardizing best practices, creating elastic architecture, and reducing database maintenance costs).
AWS is an incredibly popular environment for running MongoDB deployments. Today you have many choices about instance type, storage, network config, security, how you configure MongoDB processes, and more. In addition, you now have options when it comes to tooling to help you manage and operate your deployment. In this session, we’ll take a look at several recommendations that can help you get the best performance out of AWS.
A fotopedia presentation made at the MongoDay 2012 in Paris at Xebia Office.
Talk by Pierre Baillet and Mathieu Poumeyrol.
French Article about the presentation:
http://www.touilleur-express.fr/2012/02/06/mongodb-retour-sur-experience-chez-fotopedia/
Video to come.
MongoDb is a document oriented database and very flexible one as it gives horizontal scalability.
In this presentation basic study about mongodb with installation steps and basic commands are described.
In this lecture we analyze document oriented databases. In particular we consider why there are the first approach to nosql and what are the main features. Then, we analyze as example MongoDB. We consider the data model, CRUD operations, write concerns, scaling (replication and sharding).
Finally we presents other document oriented database and when to use or not document oriented databases.
Slides from workshop held on 12/14 in Asbury Park, NJ
http://www.meetup.com/Jersey-Shore-Tech/events/148118762/?gj=ro2_e&a=ro2_gnl&rv=ro2_e&_af_eid=148118762&_af=event
"NoSQL on the move" by Glynn Bird
Mobile-first app web development is a solved problem, but how can you websites and apps the continue to work with little or internet connectivity? Discover how Offline-first development allows apps to present an "always on" experience for their user
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.
Introduction to MongoDB and CRUD operationsAnand Kumar
Learn about MongoDB basics, its advantages, history.
Learn about the installation of MongoDB.
Learn Basics of create,insert,update,delete documents in MongoDB.
Learn basics of NoSQL.
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!
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.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
4. 4
• Massive volume of both structured and
unstructured data , which is difficult to process
using traditional database and software
techniques.
5. 5
• Approximately 90 percent of all the real-time
information being created today is unstructured data.
• Every day 2.5 quintillion (1018) bytes of data are being
generated.
• 90 percent of world's present day data has been
created in the two previous years alone.
6. 6
• High Volume – amount of data
– Facebook take 500 terabytes of new data every day
• High Variety – range of data types and sources
– geospatial data, audio and video etc..
• High Velocity – speed of data in and out
– on-line gaming systems support millions of
concurrent users, each producing multiple inputs
per second
8. 8
What is NoSQL
• Non-relational next generation databases
• Different data models (Not relational)
• A collection of very different products
• Most are not using SQL for queries
• No predefined schema
9. 9
• Relational
• Divide into tables, relate into foreign keys, DB
constraints, normalized data, the Interface is SQL
• NoSQL
• Store in schemaless format, redundancy
encouraged,Interface varies and is optimized for the
implementation, no forced DB constraints.
10. 10
Document DB
MongoDB, CouchDB
Wide Column– Column Family
Cassandra, HBASE, Amazon SimpleDB
Key Value
DynamoDB, Voldemort, MemcacheDB
Graph
Neo4J, OrientDB
Many many many, many more! (http://nosql-database.org/)
12. 12
• MongoDB is an open-source NoSQL-Database developed by
10gen in C++.
• Developed in 2009
• It consists of set of databases
• In which each database contains multiple collections.
• Every collection can contain different types of objects
called document
• Every document is represented as a JSON structure: a list of
key-value pairs.
17. 17
• Data stored as documents (BSON)
• Schema free
• Dynamic Queries
• Capped collections
• Sharding (sometimes called partitioning) for
scalability
• Replication
18. 18
• MongoDB does not need any defined data schema.
• Every document could have different data!
name: “jeff”,
eyes: “blue”,
height: 72,
boss: “ben”}
{name: “brendan”,
aliases: [“el diablo”]}
name: “ben”,
hat: ”yes”}
{name: “matt”,
pizza: “DiGiorno”,
height: 72,
boss: 555.555.1212}
{name: “will”,
eyes: “blue”,
birthplace: “NY”,
aliases: [“bill”, “la
ciacco”],
gender: ”???”,
boss: ”ben”}
19. 19
• JSON (Java Script Object Notation)-exchange and store data
• schemaless
• Excellent performance
• MongoDB actually use BSON (Binary JSON).
20. 20
• Work with data in BSON is same as in JSON.
• It is serialized into a special binary encoded format
21. 21
• Run a query without planning for it in advance
• Like SQL queries in an RDBMS
• Wonder why listed as a feature?
• Not all NoSQL databases support dynamic queries
(CouchDB biggest “competitor”)
22. 22
• Fixed-size collections called capped collections
• Use the db.createCollection command and marked it as
capped
//limit our capped collection to 2 megabyte
db.createCollection(’logs’, {capped: true, size: 2097152})
• When it reaches 2MB limit, old documents are
automatically removed
23. 23
• Scale up, vertical scaling
Increasing server capacity (more CPU, RAM)
Managing is hard, possible down times
• Scale out, horizontal scaling
Adding servers
No single point of failure cause whole system (servers fail often, thus
replication)
24. 24
• MongoDB provides horizontal scale-out for
databases using a technique called sharding
• MongoDB distributes data across multiple physical
partitions called shards(mongod).
25. 25
Manual sharding :
application maintains connections to several completely
independent database servers
storing different data on different servers
querying against the appropriate server to get data back
Autosharding:
which eliminates some of the administrative headaches of
manual sharding.
• It handles splitting up data and rebalancing automatically.
26. 26
• Collections smaller chunks
• Chunks distributed across shards
• Each shard is responsible for a subset of the total data
set
• Application don’t want to know what shard has what
data
• So run a routing process called mongos in front of the
shards
• It knows where all of the data is located, so applications
can connect to it
• It connected to a normal mongod
28. 28
• Replication via replica set
• Replica sets distribute data across machines for
– redundancy
– automate failover
29. 29
• It consist of
• exactly one primary node
• one or more secondary nodes
• It primary node can accept both reads and writes
• The secondary nodes are read-only