Sigit Kurniawan discusses MongoDB and provides an overview of key concepts. The document covers SQL vs NoSQL, MongoDB features, data types, installation on Windows, and CRUD operations. MongoDB is a document database designed for scalability and flexible schemas. It uses dynamic schemas and is horizontally scalable.
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
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.
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
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 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.
This presentation explains the major differences between SQL and NoSQL databases in terms of Scalability, Flexibility and Performance. It also talks about MongoDB which is a document-based NoSQL database and explains the database strutre for my mouse-human research classifier project.
This presentation is related to nosql database and nosql database types information. this presentationa also contains discussion about, how mongodb works and mongodb security and mongodb sharding information.
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/
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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.
This presentation explains the major differences between SQL and NoSQL databases in terms of Scalability, Flexibility and Performance. It also talks about MongoDB which is a document-based NoSQL database and explains the database strutre for my mouse-human research classifier project.
This presentation is related to nosql database and nosql database types information. this presentationa also contains discussion about, how mongodb works and mongodb security and mongodb sharding information.
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 will cover lessons learned at Community Engine regarding MongoDB, including: why we moved away from an Hybrid solution using SQL and MongoDB; an outline of the technologies and what we learned using MongoDB on Amazon Web Services; the MongoDB C# driver; MongoDB with SOLR for Full Text Search; how we do migration, deployment and more.
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
A Presentation on MongoDB Introduction - HabilelabsHabilelabs
It is Scalable High-Performance Open-source, Document-orientated database.
Built for Speed - the performance of traditional key-value stores while maintaining functionality of traditional RDBMS.
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
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.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
2. Contents
• SQL vs NoSQL
• NoSQL Features & Types
• What is MongoDB?
• MongoDB Features
• MongoDB Data Types
• Installation MongoDB on Windows
• MongoDB CRUD Operations
• Node.js with MongoDB
4. SQL VS NoSQL
• NoSQL (often interpreted as Not only SQL) database
• It provides a mechanism for storage and retrieval of data that is modeled
in means other than the tabular relations used in relational databases.
SQL NoSQL
Relational Database Management System (RDBMS) Non-relational or distributed database system.
These databases have fixed or static or predefined schema They have dynamic schema
These databases are best suited for complex queries These databases are not so good for complex queries
Vertically Scalable Horizontally scalable
Follows ACID property Follows BASE property
5. SQL VS NoSQL
• ACID Properties:
1. Atomicity; The entire transaction
takes place at once or doesn't
happen at all
2. Consistency; The database is
consistent before and after the
transaction
3. Isolation; Multiple transactions
occur independently without
interference
4. Durability; The changes of
successful transaction occurs even if
the systems failure occurs
Relational Databases
Durability
Isolation
Atomicity Consistency
ACID
6. SQL VS NoSQL
• CAP Properties:
1. Consistency; that the nodes will have
the same copies of a replicated data
item visible for various transactions
2. Availability; that each read or write
request for a data item will either be
processed successfully or will receive a
message that the operation cannot be
completed
3. Partition tolerance; the system can
continue operating even if the
network connecting the nodes has a
fault that results in two or more
partitions, where the nodes in each
partition can only communicate
among each other.
NoSQL Databases
Consistency
Availability
Partition tolerance
CAP
8. NoSQL Features & Types
Fexible Schemas
Horizotal scaling
Fast queries due
to the data model
Ease of use for
developers
FEATURES
9. NoSQL Features & Types
Fexible Schemas
Horizotal scaling
Fast queries due
to the data model
Ease of use for
developers
FEATURES
Document
databases
Wide-column
stores
Key-value
databases
Graph databases
TYPES
11. What is MongoDB ?
A database management
system designed to
rapidly develop web
applications and internet
infrastructure.
A general-purpose
document database
designed for modern
application development
and for the cloud.
A good NoSQL document
database with a range of
features that, in the
open-source NoSQL
world, are hard to beat.
12. What is MongoDB ?
A database management
system designed to
rapidly develop web
applications and internet
infrastructure.
A general-purpose
document database
designed for modern
application development
and for the cloud.
A good NoSQL document
database with a range of
features that, in the
open-source NoSQL
world, are hard to beat.
Document-Oriented,
No Sequel (NoSQL)
13. What is MongoDB ?
Database Collections
MongoDB stores data
as JSON/BSON (Binary
JSON) documents
In MongoDB, a
collection is a group of
documents
17. MongoDB Data Types
• String
This is the most commonly used datatype to store the data. String in MongoDB must be
UTF-8 valid.
• Integer
This type is used to store a numerical value. Integer can be 32 bit or 64 bit depending
upon your server.
• Double
This type is used to store floating point values.
• Date
This datatype is used to store the current date or time in UNIX time format. You can
specify your own date time by creating object of Date and passing day, month, year
into it.
• Boolean
This type is used to store a boolean (true/ false) value.
18. MongoDB Data Types
• Object ID
This datatype is used to store the document’s ID.
• Array
This type is used to store arrays or list or multiple values into one key.
• Timestamp
ctimestamp. This can be handy for recording when a document has been modified or
added.
• Code
This datatype is used to store JavaScript code into the document.
• Regular Expression
This datatype is used to store regular expression.
20. Installation on Windows
• Step 1: Go to MongoDB download Page
and click download as shown in the
screenshot. A .msi file like this
mongodb-win32-x86_64-2008plus-ssl-
3.4.7-signed will be downloaded in
your system. Double click on the file to
run the installer.
24. Installation on Windows
• Step 5: When the setup asks you to
choose the Setup type, choose
Complete.
25. Installation on Windows
• Step 6: Click Next when the MongoDB
service configuration. MongoDB will be
installed in the windows service
26. Installation on Windows
• Step 7: Choose Install MongoDB
Compass if you want to use the
MongoDB User Interface, or ignore it
and continue by clicking Next in the
Install MongoDB Compass window
30. MongoDB CRUD
CREATE DATABASE
MongoDB use DATABASE_NAME is used to create database. The command will create a
new database if it doesn't exist, otherwise it will return the existing database.
36. MongoDB CRUD
QUERY DOCUMENTS
Select All Documents
Specify Equality
Specify Conditions Using Query Operators
SELECT * FROM tablename;
SELECT * FROM tablename WHERE column;
SELECT * FROM tablename WHERE columnname IN ;
MongoDB memberikan kinerja tinggi (High Performance). Sebagian besar operasi di MongoDB lebih cepat dibandingkan dengan database relasional.
MongoDB menyediakan fitur replikasi otomatis (Auto Replication) yang memungkinkan Anda memulihkan data dengan cepat jika terjadi kegagalan.
Penskalaan horizontal (Horizontal Scalability) dimungkinkan di MongoDB karena berbagi. Sharding adalah mempartisi data dan menempatkannya di beberapa mesin sedemikian rupa sehingga urutan data dipertahankan. Penskalaan horizontal vs penskalaan vertikal: Penskalaan vertikal berarti menambahkan lebih banyak sumber daya ke mesin yang ada sementara penskalaan horizontal berarti menambahkan lebih banyak mesin untuk menangani data. Penskalaan vertikal tidak mudah diimplementasikan, di sisi lain penskalaan horizontal mudah diimplementasikan. Contoh basis data penskalaan horizontal: MongoDB, Cassandra dll.
Penyeimbangan beban (Load Balancing): Penskalaan horizontal memungkinkan MongoDB untuk menyeimbangkan beban.
Ketersediaan Tinggi (High Avalaibility): Replikasi Otomatis meningkatkan ketersediaan database MongoDB.
Pengindeksan (Indexing): Indeks adalah bidang tunggal dalam dokumen. Indeks digunakan untuk menemukan data dengan cepat tanpa harus mencari setiap dokumen dalam database MongoDB. Ini meningkatkan kinerja operasi yang dilakukan pada database MongoDB.