Mongo DB

Course Information

  • Weekdays Course (Monday-Thursday) Duration: 4 Days
  • Weekend Course
    Sat & Sun)
    Duration: 2 Weeks
  • Study Modes: (Classroom/Virtual/OnSite)
  • What is included:
    instructor-led hands training,
    passing guarantee or free retraining, Lab access during the course, Course Material

From £1300

Interest Free Available

Enquire Now

Course Insight

In our Mongo DB training course, you will learn about how to configure a database and then figure out different ways to analyze, search and create your data with Mongo DB. This course will cover the basic database operations and help you explore the ways to get started with developing applications and the processes for data visualization. We will let you learn about how and why Mongo DB is different from other database applications. Gradually, you will learn the difference between BSON and JSON and the ways to work with exporting and importing of data in order to make an appropriate data query process. Later, you will learn to develop and configure documents through Create, Read, Update and Delete (CRUD) functions of Mongo DB. In the meantime, you will also be able to work with the Indexing and Data Modeling, using Mongo DB.

This Mongo DB training course will also help you get prepared to work as a back-end developer on Mongo DB, using high-level programming languages like Java, Python, JavaScript and .Net in order to develop Database Applications. We will also teach you how to ensure optimized Mongo DB deployment Data Modeling process using Mongo DB.

  • You must be experienced in MySQL and/or Other database applications.
  • You are required to have enough fluency in the Java Programming Language.
  • It is ideal to have a fundamental understanding of Big Data platforms, but not required.
What will you gain after this course

The Data Science and Big Data Analytics course give down to earth establishment level preparation that empowers prompt and successful interest in Big Data and different Analytics ventures. It incorporates a prologue to Big Data and the Data Analytics lifecycle to address business challenges that influence Big Data. The course gives establishing in essential and progressed systematic techniques and a prologue to Big Data Analytics innovation and instruments. Lab sessions offer chances to see how these strategies and devices might be connected to true business challenges by a rehearsing Data Scientist. This course gives an industry accreditation to business investigators, information distribution center specialists, or different experts with comparative foundations to help them change into the universe of Data Science and Big Data Analytics that has extraordinary difficulties and opportunities.

  • MongoDB Developer
  • MongoDB Engineer
  • Java Software Engineer
  • MongoDB Tech Lead
  • MongoDB Data Architect
Corporate Group Training
  • Customized Training
  • Onsite / Virtual
  • Instructor-led Delivery
  • For small to large groups

Dates & prices

This is an On-Demand course. Please call us on 02085347556 to arrange the training as per your requirement.

Course Contents

  • Introduction to NoSQL Architecture with MongoDB
  • How does MongoDB compare to other NoSQL solutions and to traditional databases?
  • MongoDB a gateway drug to NoSQL
  • Caveats and Problems that MongoDB is not good at solving
  • The sweet-spot for MongoDB
  • Installing and setting up MongoDB
  • Using the console (with lab)
  • Introduction to MongoDB commands (with lab)
  • Creating a Database, Collection and Documents (with lab)
  • Simple Querying (with lab)
  • Understanding and working with indexes (with lab)
  • Working with Replica Sets
  • What is the simplest setup to get started?
  • Working with Journaling
  • Understanding data safety versus throughput tradeoffs
  • Auto sharding: who should use it and tradeoffs
  • Massively scaling MongoDB
  • Setting up MongoDB and Java
  • Setting up Eclipse to work with MongoDB
  • Working with Databases and Collections (with lab)
  • Creating documents (with lab)
  • Performing queries (with lab)
  • Working with aggregation API (with lab)

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