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#mongo db course#IT Training Institute in Madurai#Best Software training institute in Madurai#it professional course in madurai
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Nestjs Mongo Database Microservice Project Tutorial for Beginners Full Video Link - https://youtu.be/lmo8n9WujdQ Check out this new video about Nestjs mongo db microservice project on the CodeOneDigest YouTube channel! Learn nestjs project setup with dependencies and mongo database. Create microservices in nestjs framework with mongoose orm #mongodb #nestjs #mongoose #microservice #api #nodejs #javascript #codeonedigest@YouTube @codeonedigest @nestframework @MongoDB @typescript @JavaScript @java @awscloud @nodejs
#youtube#nestjs#nestjs microservices#nestjs mongodb#mongo database#nestjs mongo db#nestjs mongo database#nestjs microservices mongodb
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videoplayback "Episode 1 - Mongo DB Is Web Scale" May 2011 Archived Media File 📀 🔊
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oh man your OS professor sounds like a treat, tho not someone i would have loved when i was in uni, but im curious to know why he hated mongo db
I've heard that mongo is better these days (wouldn't know, have not paid it any attention in years), but in ~2010 when this was all happening, it was dogshit. It basically had no durability or fault-tolerance, it would do things like lie to you and say a write had completed when it never even left the client (you could get early mongo drivers to say a write was done when your wifi was disconnected and ethernet unplugged), and it justified all of this with "but it's web scale!".
At the time, BASE was new and exciting and people were kinda going off half-cocked with it, and also didn't yet know that you could have BASE without it being shitty. Sirer was being a sort of corrective market short to all the hype.
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27 December 2023
ok so my bugs are
get a perfect skincare routine
learn makeup that suits my skin
get an actual boyfriend before February *not a situationship*
get all 3 AWS certs by march 2024
impress everyone at work with my learning/presentation skills
get promoted
read a book about tech infra
buy all the necessary shit
learn about finance
let's prioritize them.
get 3 aws certs
impress everyone at work
buy all the necessary shit
skincare routine
makeup
boyfriend
finance
read the book
now lets divide them in tasks
for aws certs
i have help from work bcs i have promised them that i'll attempt this in January. For this i'll have to sacrifice at least 1 day of my weekends. and 2 hour everyday.
first of all get a book for notes. and revise those notes everyday.
impress everyone at work
i now realise that i've actually promised my seniors wayy too much work this month and i might not deliver on that. but that doesn't matter. i have been assigned to learn mongo DB, aws, react and django. i plan to complete mongo DB by 5 January. if i take notes and actually concentrate at work i can do this. stop worrying about politics just work.
buy all the necessary shit.
for this i need to make lists. all sorts of lists...lists for makeup, skincare, vitamins, food, clothes, charger, mouse. and also every time i spend money i need to write down the amount and collect receipts for everything.
skincare routine
im meeting a dermatologist tomorrow or this weekend. i will note down the things to ask her before the meeting.
makeup
try try try. thats all i can do. ask the doctor about makeup too and buy some good quality makeup. that doesn't burn my skin. i have to wakeup everyday and use eyeliner. even if i do it badly. remember i am here for a temporary period of time and i am only learning
boyfriend
i have options for this. but not too many. if the situationship progresses thats fine obviously. but other than that i really need someone who can get me some good connections in big tech.
finance
idk how i'll learn about this one. too many resources. i cant trust anything. i'll ask a boy maybe,
read a book
when will i get time for this?
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This is being considered as big data and NOSQL decade for software industry. Most of new software development is happening using NOSQL database. There are many NOSLQ Databases however MongoDB is the most popular choice due to being highly scalable open source & free NOSQL database option. Many high volume web applications and mobile applications are designed using MongoDB as a backend database. In this article we are going to cover all high level details you need to know about MongoDB and its usage. You may also want to check some good MongoDB books to learn and become a Mongo DB expert. Everlasting Popularity of MongoDB Explained Traditional databases have long been built on a singular architecture of Database -> Table -> Row/column -> table join. This led to expressive query-based languages (such as MySQL), uniformity, and facility for secondary indexes. However it lacks on a few crucial fronts – factors that can drive the success of your application or website. The interesting thing about MongoDB is that, as against traditional table structure in relational databases, MongoDB uses dynamic schemas (BSON). This ensures a more agile, nimble, and fast database - a much needed trait in today’s technology landscape where data is huge, time is short, risk is bigger, and cost needs to shrink every time. History of MongoDB The company, MongoDB Inc, first rolled out the service in October 2007 as a small component of a product platform. But within 2 years, it was transitioned to open source development approach. Ever since, it continues to be embraced by scores of websites and applications as a preferred backend software. What is MongoDB? Developed over C++, MongoDB is a wildly popular open source NoSQL database. Its cross-platform architecture provides immense utility and versatility to programmers who want to make us of a document oriented open source database. Mongo DB Popularity on Google Search Below is a snapshot of google search trends that show popularity of MongoDB has been growing in past few years. Why is MongoDB So Popular? It is not for no reason that business behemoths like eBay, Craigslist, or Foursquare depend on MongoDB. There are many compelling success factors that ensure that MongoDB continues to enjoy top billing as the world’s fourth most loved database. Let’s look at some of these – Huge volume of data? Bring it on! Imagine having millions of records to be stored, accessed, processed or shared in real time. With Big Data throwing curve balls every single day, MongoDB is the one database that can handle such large data with absolute ease. One practical example we see is Craigslist that uses MongoDB as a backend. It sees about 80-82 million advertising classifieds posted every month from across 70 countries. As such, its repositories gets populated pretty quickly. MongoDB not only handles this sheer size of data, but also helps in timely archiving and access to data across 700 different sites. Schema less architecture and sharding Because of its document based architecture, MongoDB features one collection (just like a table). This scale-out architecture adds value at multiple levels over the monolithic architecture of MySQL. It also helps to be better aligned with OOP principles. When it comes to load balancing, MongoDB uses horizontal scaling with help of sharding (storing data on multiple machines for efficient usage). You can add machines to balance your load needs and prevent any overload on a single machine. With sharding comes the issue of synchronization – something that is actually a non-issue, with the powerful replication facility provided by MongoDB. Replication helps redundancy and improves availability of the most up to date data. The combination of sharding and replication also comes in handy when recovering from a catastrophic IT failure or interruptions in services. Quick to set up and deployment MongoDB presents a very quick setup and deployment time. This not only helps client business to ramp up faster, but also helps them delight their customers with their agility and speed.
A good example is Forbes, which used MongoDB to come up with a simultaneous web CMS and mobile site. While the web CMS came up in two months only, the mobile site was ready in just 30 days. Better for your business Taking the above example of Forbes website, the publishing company took up the step of overhauling their content management systems. When the mobile site and website CMS came up, it managed to create a lasting impression on the minds of its users – prime being the fast access and speedy content delivery facility. As a result (to quote MongoDB’s words) “Overnight, mobile traffic jumped from 5% to 15% of Forbes.com total traffic, and quickly ramped to 50%”. In addition to the revenue increase, it also helped cut down on cost overheads by keeping just one full time and one part time IT person for the mobile website. High Performance Persistent data is handled smartly by MongoDB, thus leading to a high performance backend. It enables this in two distinct ways Embedding data in single structure. The schema is known as ‘denormalized’ model and is successful because of the BSON enabled document-like structure. Because of this, the I/O operations on the database system is reduced dramatically, leading to faster working backend. Using the ‘ensureIndex’ function, a field being indexed will return a result at just 8%-10% of the time taken for querying and searching every document in a collection of the MongoDB database. This is a vital time saving advantage. Indexing also provides the facility to include keys from embedded objects or arrays. Why Pick MongoDB? As is evident, express setup, huge data handling capacity, and horizontal scaling ability, are three key advantages that work highly in favor of MongoDB. This makes it an apt open source backend system to use for today’s times where content management delivery, data hubs, social media, big data, cloud computing, and mobility, have generated colossal volume of dynamic data. Where can we use MongoDB? If your data is too complex to be queries on a relational database If there are high occurrences of denormalizing the database schema If there are high occurrences of programming involved to tweak performance If your inputs are in form of BSON documents or serialized arrays If you want to store documents irrespective of the relation If pre-defining the schema or structure is not possible Where should we NOT use MongoDB? If you need ACID compliance then MongoDB will not be a right choice. Also because of inherent limitations associated with a 32-bit system, MongoDB doesn’t perform well here, and instead recommends a 64-bit architecture. To sign off MongoDB has proven its mettle handling incredibly huge data. With its schema less architecture and zero relational dependency, it has sustained at a leadership position as a NoSQL database of choice for today’s companies who want to surge ahead of competition with fast, agile and scalable application and websites. Harry is a web industry specialist having keen interest in reading novels and writing tech blogs on diverse topics.Currently, He is associated with Techiesindiainc, specializing in offshore web development and iOS development services.Techiesindiainc has more than 200 international clients who outsource Website Design And Development projects along with various other IT requirements.
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Application Development Advisor - HIH - Evernorth
work experience. Hands on with most of the following technologies: Angular and Java, Python, Mongo DB, Node JS and ability… Apply Now
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h
say YOUUU love me aagaainnn
unDO this the hurt u caused 1234
UNcry this tttears 4 unbreak my UNBreak my heart (higher) sweet baby
come back and say you love me unbreak my heart sweet darling without you i just cant go on on on (higher)
I cried so many, many naa aights me re do Oh, un-break my
UNBreak my heart sweet baby
j glide
kevin burns kafka mongo db payments
Not enough async messaging especially with Kafka and Mongo DB is light No kafka, no payments other than cards Kafka and Mongo DB experience does not reflect expertise rather light usage, no payments
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youtube
#youtube#video#codeonedigest#microservices#docker#microservice#nodejs module#nodejs express#node js#nodejs#nodejs projects#nodejs tutorial#node js development company#node js express#node js training#mongo database#mongo db#mongoose#mongodb#docker image#docker container#docker tutorial#docker course#dockerfile#dockerhub
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h
inflight redis persist
kafka topic we need inbound object
move both files kafka types
ids of scoring order in mongo
bulk scoring order operation
paymenttype
fileobjects
files object
scoring order( childs nested relation to anil
list of files
path ,payment type
in db child object
mongo /kafka
redis batchcount , paymenttype
inflight goes to redis
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Let's Build a Full-Stack App Using the MERN Stack! Part 1: Mongo DB
Where Are We Storing Stuff? Before we code our full-stack MERN (MongoDB, Express, React, and Node.js) application, we need a place to store our data. The best way to do this is to set up a MongoDB instance. We’ll run MongoDB inside a Docker container to keep things simple and easily manageable. Setting Up MongoDB with Docker We’ll use the official MongoDB image from Docker Hub. To pull and run…
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Application Development Senior Manager
and Java, Python, Mongo DB, Node JS and ability to understand complex architectures. Familiarity with Cloud services AWS… Apply Now
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30 December 2023
two main goals for next year :
work for an MNC
get promoted here
today i need to
finish mongdb cert
watch atleast 1 mongo db video
come up with a topic for presentation
call two ppl from work and talk to them
tomorrow:
give one mock presentation
learn mongodb/django
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