22+ Mongodb Resume Templates

Where does MongoDB go on a resume? For example, Database Administrator jobs require working experience with MongoDB databases. Thus, that experience should be highlighted in both the experience and summary sections of your resume.

Similarly one may ask, Is MongoDB a skill?

MongoDB Continues to be a Top NoSQL Skill.

Similarly one may ask, What is MongoDB not good for? MongoDB, unfortunately, does not support transactions. So if you need to update more than one document or collection per user request, don't use MongoDB. It may lead to corrupted data, as there is no ACID guarantee.

Consequently, Does MongoDB have future?

The Future Scope of MongoDB: Advantages, Improvements & Challenges [2021] Those who have the experience in working with various NoSQL databases will undoubtedly agree that the MongoDB document model has an absolute simplicity of workflow that no other NoSQL database provides.

How do you put Kafka on a resume?

  • Highlight your contributions and achievements.
  • Frame 3-4 lines describing your career trajectory.
  • Mention your proficiency in relevant skills.
  • Related for mongodb resume

    What does a MongoDB developer do?

    MongoDB Developer is an IT professional specialized in programming and developing applications and software using Mongo tool.

    What are the skills required in MongoDB?

    Required Skills:

    Write efficient queries. Strong scripting experience - Unix/Shell Scripting, Python. Technical knowledge of Linux & Windows-based platforms. Strong analytical and problem-solving skills.

    Is MongoDB used in machine learning?

    MongoDB is one of the best databases for machine learning for several reasons. Unlike a relational database where you have to define a schema and tables with column definitions, MongoDB allows you to load data directly without any upfront schema design.

    Is MongoDB good for reporting?

    NoSQL databases like MongoDB offer superior benefits when dealing with big data over SQL because of their flexible schema requirements. Nonetheless, people often need to do analysis on MongoDB data. Historically, it has been common to replicate MongoDB data into a SQL database for analytics using a process like ETL.

    Does Facebook use MongoDB?

    When a user logs in, Facebook provides MongoDB Realm with an OAuth 2.0 access token for the user. Realm uses the token to identify the user and access approved data from the Facebook API on their behalf.

    Why is MongoDB so bad?

    To many people, MongoDB was NoSQL. Difficult Scalability – With a relational database, if your data was so large that you couldn't fit it easily into one server MongoDB had built in mechanisms like replica sets for allowing you to scale that data across multiple machines. Difficult Schema Modifications – No migrations!

    Who are MongoDB competitors?

    Competitors and Alternatives to MongoDB

  • Amazon Web Services (AWS)
  • Oracle.
  • Microsoft.
  • Google.
  • MariaDB.
  • Couchbase.
  • IBM.
  • Cloudera.
  • Is MongoDB in demand?

    MongoDB is a document-oriented type of NoSQL database. It's the most popular type of document store on the market. The latest salary reports from indeed.com reveal that there is a large demand for skilled Big Data professionals.

    What makes MongoDB unique?

    MongoDB enables such iteration. More than any other NoSQL database, and dramatically more than any relational database, MongoDB's document-oriented data model makes it exceptionally easy to add or change fields, among other things. Because MongoDB enables profound developer agility through its flexible data model.

    How do you put microservices in a resume?

    Give an account of your education background and relevant certifications. Present your microservices java skills using a distinct key skills section. Curate an impeccable resume summary or objective to conclude your microservices java resume.

    What is the difference between RabbitMQ and Kafka?

    RabbitMQ is a general purpose message broker that supports protocols including, MQTT, AMQP, and STOMP. Kafka is a durable message broker that enables applications to process, persist and re-process streamed data. Kafka has a straightforward routing approach that uses a routing key to send messages to a topic.

    What are the skills required to learn Apache Kafka?

    For Professionals taking up this Apache Kafka certification online training, it's good to have prior knowledge of any messaging system, Java or any other programming language, and Linux or Unix based systems.

    Who developed MongoDB?

    History. 10gen software company began developing MongoDB in 2007 as a component of a planned platform as a service product. In 2009, the company shifted to an open-source development model, with the company offering commercial support and other services. In 2013, 10gen changed its name to MongoDB Inc.

    Which is not application of MongoDB?

    MongoDB should not be used in applications that require table joins simply because it doesn't support joins (like in SQL). This is attributed to the fact that the data stored in MongoDB is not structured and therefore, performing joins is a highly time-consuming process that may lead to slow performance.

    What is the latest MongoDB version?

    MongoDB 5.0

  • 2020 — MongoDB 4.4.
  • 2019 — MongoDB 4.2.
  • 2018 — MongoDB 4.0.
  • 2017 — MongoDB 3.6.
  • 2016 — MongoDB 3.4.
  • 2015 (Late) — MongoDB 3.2.
  • 2015 (Early) — MongoDB 3.0.
  • 2014 — MongoDB 2.6.
  • Is MongoDB good for ML?

    MongoDB's dynamic nature enables its usage in database manipulation tasks in developing Machine Learning applications. It is a very efficient and easy way to carry out an analysis of datasets and databases. The output of the analysis can be used in training machine learning models.

    Is MongoDB good for data science?

    MongoDB makes the perfect choice for many reasons: Quirrel is designed to analyze JSON, which is natively supported by MongoDB. MongoDB has a basic query and aggregation framework, but to do more advanced analytics, you have to write lots of custom code or export the data into a RDBMS, both of which are very painful.

    How use MongoDB with Python?

  • Create a free hosted MongoDB database using MongoDB Atlas.
  • Install PyMongo, the Python Driver.
  • Connect to MongoDB.
  • Explore MongoDB Collections and Documents.
  • Perform basic Create, Retrieve, Update and Delete (CRUD) operations using PyMongo.
  • Can I use MongoDB for analytics?

    MongoDB supports several analytic capabilities. MongoDB also offers a SQL-based BI Connector under their enterprise plans, that lets users explore their MongoDB data through different business intelligence tools like Holistics, Looker, Microsoft Power BI and more.

    Which DB is best for analytics?

    If you answered Excel, a relational database like Postgres, MySQL, Amazon Redshift or BigQuery will fit your needs. These structured, relational databases are great when you know exactly what kind of data you're going to receive and how it links together — basically how rows and columns relate.

    What is MongoDB good for?

    As a document database, MongoDB makes it easy for developers to store structured or unstructured data. MongoDB was built for people building internet and business applications who need to evolve quickly and scale elegantly. Companies and development teams of all sizes use MongoDB for a wide variety of reasons.

    What big companies use MongoDB?

    4024 companies reportedly use MongoDB in their tech stacks, including Uber, Lyft, and LaunchDarkly.

  • Uber.
  • Lyft.
  • LaunchDarkly.
  • Delivery Hero.
  • Stack.
  • HENNGE K.K.
  • KAVAK.
  • Accenture.
  • What company uses MongoDB?

    What database does Netflix use?

    With billions of reads and writes daily, Netflix relies on NoSQL database Cassandra to replace a legacy Oracle deployment. Netflix is the big Kahuna of a Web media businesses, with 33 million subscribers in more than 40 countries.

    Is MongoDB good for CRM?

    MongoDB for Sales CRM Integration

    Intelligently put data where you need it: An intelligent distributed systems architecture that enables developers to place data where their apps and users need it. MongoDB provides levels of availability, workload isolation, scalability, and data locality unmatched by other solutions.

    Is MongoDB good 2020?

    It's none other than the most popular database solution across the globe- MongoDB. MongoDB is comparatively faster as well. It is also very flexible and is an excellent database for companies considering scaling. Capable of handling a huge collection of data, MongoDB is used by extremely large teams.

    Can I use MongoDB for ecommerce?

    It simplifies data integration and offers better scalability than traditional relational databases. Today's e-commerce sites need rich data models and dynamic queries. MongoDB provides this, making it a popular choice for many companies. There's a wide range of features you can build out for your store using MongoDB.

    How many employees work at MongoDB?

    How does MongoDB make money?

    In the prospectus, the story is that Mongo makes its money through subscriptions. Using it will save you tonnes of money compared to Oracle, as our software is essentially free. In order to save all this money, you'll need to pay us $35,000 a year for our support services.

    Does AWS have MongoDB?

    MongoDB is an open source, NoSQL database that provides support for JSON-styled, document-oriented storage systems. AWS enables you to set up the infrastructure to support MongoDB deployment in a flexible, scalable, and cost-effective manner on the AWS Cloud.

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