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OrientDB Training

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OrientDB Training

OrientDB Training Introduction

OrientDB training is a course from QTSInfo in which you will get the knowledge on working with the OrientDB tool. The OrientDB course has been designed in such a way that it will give you full knowledge of OrientDB architecture. You will be able to interact with your data through this architecture. The course is available for everyone whether freshers or experienced professionals. The jobs that you can get after pursuing this course are Machine Learning Engineer, Software Engineer, Blackened Developer, and many more.

Course Overview

OrientDB is a multi-model database that consists of much flexibility and power. You will learn the installation and configuration of the tool. After that, you will be taught about creating a database and other components of the database like tables, views, indexes, triggers, etc. You will also be able to make graph data models and document data models. The course curriculum has been developed by our expert trainer and it will consist of all the topics that are in the current industry trend. Facilities like the tutorial, mock test, mock interview, job placement are also available.

OrientDB  Certification Key features

  • Learn the process of developing a database and its components
  • Know about OrientDB architecture
  • Get OrientDB tutorials for beginners.
  • Our instructors will support you 24/7
  • Get the facilities of mock tests and mock interviews
  • A resume preparation facility is available.

Who should take the course

This OrientDB certification has been designed for people who want to make a career in the field of NoSQL databases. Developers who are already familiar with relational databases can do the course. Freshers who want to make a career in the field of databases are also eligible for the course.

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Course curriculum / Syllabus

Class Structure and Goals
  • Training goals
  • Intended audience
  • Course agenda
  • About certification
Use Case Overview
  • Extension of core OrientDB demonstration database
  • Key objects
  • Exercise and quiz summary
What is a Graph Database?
  • Index-free adjacency
  • Vertices
  • Edges
  • Graph navigation
OrientDB Multi Model Architecture
  • Graph
  • Document
OrientDB Connection and Storage Architecture
  • Embedded
  • Client/server
  • Storage models
  • Disk persistence
  • In-memory processing
  • Clustering
  • Relationships
  • Indexing
  • Caching
  • Transactions
Classes
  • Schema-full
  • Schema-less
  • Hybrid
  • Base classes
  • Attributes
  • Properties
  • Inheritance
Relationships
  • One-to-one
  • One-to-many
  • Many-to-many
  • Embedded
  • Referenced
Documents
  • Terminology across RDBMS, document databases, and OrientDB
  • Document collections
  • Identifying a document
  • Documents and schema
  • Relationships
Graphs
  • Terminology across RDBMS, graph databases, and OrientDB
  • Base classes
  • Vertices
  • Edges
  • Lightweight vs. standard edges
  • Graphs and schema
  • Relationships
A Workflow for Modeling
  • User stories
  • Defining major artifacts
  • Testing model with sample queries
  • Adjusting the model
Evolving the Model
  • Dealing with application changes
  • Planning for data fluctuations
  • Maintaining information and code integrity
APIs
  • OrientDB
  • TinkerPop/Blueprints
  • Choosing the optimal API
OrientDB Object Model
  • OrientDB Object Model
Establishing a Connection
  • Connection options
  • Browsing classes
  • Querying metadata
  • Error handling
OrientDB SQL
  • Standards
  • Enhancements
  • Major data types
Creating New Records
  • Record ids
  • Defining classes
  • Extending base classes
  • Linking documents
  • Linking vertices
  • Working with binary data
Querying the Database
  • Browsing classes
  • Querying metadata
  • Working across the graph
  • SELECT, MATCH, and TRAVERSE
  • MATCH shorthand
  • Sorting and aggregation
  • Expanding results
  • Making the most of fetch plans
Indexing
  • Defining effective indexes
  • Filtering using indexes
  • Unique indexes
  • Composite indexes
  • Querying against indexes
Updating Existing Records
  • Single values
  • Multiple values
  • Version control
  • Schema-less updates
Removing Data
  • Removing properties from a class
  • Deleting single records
  • Maintaining data integrity
  • Dropping classes
Multi user considerations
  • Concurrency
  • Transactions
Designing and Using Functions and Methods
  • Comparison with RDBMS stored procedures
  • Examples
  • Interacting with the database API
  • Accessing Java packages
  • Developing functions and methods
Creating and Utilizing Hooks
  • Comparison with RDBMS triggers
  • Custom cascading deletes
  • Implementing algorithms
  • Enforcing constraints

OrientDB Training FAQ’s:

1.How can I get a job after completing the OrientDB course?

Our organization is associated with many companies that need professionals. We will organize interviews so that you can be selected by a reputable organization.

2.How will OrientDB training affect my career?

OrientDB training will introduce you to the different concepts of OrientDB and after completing this course you can get a job as a database developer.

3.Will you provide the facility of mock interviews

Yes, we will conduct a mock interview to help you in your job placement.

4.Are sample course materials provided?

Yes! Sample course materials will be provided to you.

5.How can I review the material before the exam?

As a reference, you can check out OrientDB tutorials or OrientDB pdf tutorials.

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