Denodo Tutorial

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Denodo Tutorial is a data virtualization solution with a live data catalog allowing enterprise-level data governance and semantic search. It employs best-in-class smart query acceleration powered by AI and automated cloud infrastructure management for hybrid and multi-cloud scenarios.

By 2027, the data virtualization market will be worth $10.87 billion. According to the data virtualization market, the average wage for a virtualization engineer in the US is $114K.  So, to excel in Data virtualization, this Denodo tutorial will help you learn all the data platform concepts.

This guide will talk about the importance of the Denodo Tutorial, its tools, data virtualizationand other basic principles required for the Denodo platform. You may check Denodo Platform's latest updates here.

Denodo Tutorial - Table of contents

What is Denodo?

Denodo is the product of Denodo Technologies; it is the data virtualization with Graphical User Interface based studio. Denodo is the ruler in data virtualization; it provides the benefits of managing the integrity, availability, usability, and security of the data, easy data access, and data delivery abilities across the enterprise, cloud, unstructured, and big data sources without transferring the data from its native storage. Data virtualization is used for enterprise-level semantic or general data layers, data warehousing projects, large-scale applications, and small initiatives requiring quick data access. The Denodo tool is used in banking, social media, marketing, entertainment, and big data industries.


Denodo Platform: Why do you need it?

Denodo platform is the data management platform that provides all the features to build a logical data warehouse. It provides a semantics layer to make data more simplified and available to businesses. The Denodo platform helps in data preparation for self-service analytics, faster insights, privacy, and data management automation. It combines the data into logical/virtual data to provide unified access delivery through a single virtual data layer. We need Denodo to make our work easier as it. 

1) Delivers breakthrough performance in big data, logical data warehouse: the dynamic Query Optimizer automatically applies the 'move processing to the Data paradigm' to decrease network traffic. As a logical warehouse, the Denodo platform 6.0 is employed. It can display results comparable to a physical data warehouse and supports full-view materialization. 

2) The Denodo platform enables users to search the data using an intuitive interface. It enables users to browse and search to discover the available data, its structure, its relationship to other data entities, and information about the documentation and usage notes. 

3) The Denodo platform meets security/privacy requirements like restricting exposure to role-based security access, schema-wide and data-specific permissions, and full backing for major security protocols. 

4) The Denodo Platform can connect to any data source, in any format or location, like Web, semi-structured, or unstructured data, and it includes optimized adapters for all major data sources, including relational databases, multidimensional databases, NoSQL, streaming data, flat files, internet services, Web, documents, email, and others.

5) Denodo platform 6.0 will be the first data virtualization technology available on Amazon AWS Marketplace. It provides easy management of data. Denodo platform for AWS offers a scalable infrastructure that users can smoothly add instances.

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Principles of Denodo's 3 C's

Data virtualization allows organizations to combine real-time data from multiple sources and make it available without exposing technical details. Denodo is based on the 3C principles.

1) Connect (to disparate data sources):

It connects any data source like APIs, files, and databases. Data remains in the sources and is accessed on demand without creating another copy. 

2) Combine (related data into views):

As its motive is to gather data from sources to satisfy business requirements, this layer is used. In this step, a developer is expected to explain the data combination and transformation to suit the enterprise's requirements. 

3) Consume (in business applications):

lastly, a method for making real-time data accessible to data consumers. Denodo offers various options for users to access data, containing JDBC drivers, ODBC interface, and web services (REST/SOAP). 


The Basics of Data Virtualization

Data virtualization builds a single layer to store disparate data with unified access to the applications. In this approach, data management allows applications to use semantic components specified in the virtual layer to retrieve and manipulate data without requiring technical details like (where it is located) and reuse them as required. Denodo platform offers the following features: 

  • Easier to create data services, and easy access to all types of data
  •  Control your data sources easily with a click. 
  • Little to no coding
  • Clients can reuse your models 
  • Development cycles are short and agile
  • Simple requirements for intuitive solutions
  • Data services are not dependent on the physical sources


Denodo Installation and Bootstrapping Process

In this section, we will discuss the setup of Denodo and start our data Virtualization journey. 

Step 1:  Install Denodo platform 8.0 in a directory and name it <DENODO_HOME>. – First, download the installer and license from "

Step 2: Import "MySQL-connector-java-.jar" into the "Virtual DataPort Administration Tool." Upload the jar files of the driver through Admin Tool Wizard "File/Extension Management" and choose "MySQL-5" as the version.

Step 3: Installing and Configuring the Database

  • Install MySQL Server.
  • Start MYSQL and launch MYSQL Workbench 5.0 or higher- these are handy tools that you might use. Connect to our MySQL server and later open the "tutorial_directory>/MySQL/schema.sql" script by selecting "Open SQL Script" from File Menu.
  • After opening the script, press "Execute."
  • After performing this, we must see a new database called "acme_crm" with three tables.

Step 4: Install the web server

  • Open the <tutorial_directory>/jetty, and run: "java -jar start.jar" from the command line. If we do not have the java virtual machine installed on the system, we can utilize the JVM installed with the Denodo Platform in <DENODO_HOME> /JRE/bin.
  • Test the billing web service to check its installation. Guide the web browser to "http://localhost:8080/billing/services" If successfully deployed, we will see the catalog of the existing services "AdminService," and "BillProvider," as well as their methods and a choice for witnessing the WSDL descriptor.

1) Initial steps 

Following are the steps for using the Denodo platform

  • Start the Denodo server and applications
  • Look for how to use the Denodo administration tool
  • For development, create a database 
  • To organize your data, make folders
  • Import relational database
  • Run the queries
  • Make an easy combination view

2) Advanced Operations 

Combine the customer view you have created with the billing information in this section to create a report showing the total amount due for each client. 

  • For a web service, create a data source
  • The hierarchical system that has been compressed
  • Tree view used to create derived views
  • Create a view of bringing together data from data sources 
  • Create a view for aggregation.

3) Using your application to connect 

Denodo platform is built with a client-server model in which clients send requests. The following interfaces can be used to send requests.

  • JDBC – Denodo's JDBC driver is provided
  • ODBC- ODBC interface is provided by Denodo 
  • ADO.Net- the NpgSQL ADO. Net provider for PostgreSQL is compatible with Denodo 
  • RESTFUL web service: for apps that cannot connect to Denodo through JDBC AND ODBC.

4) Performance of an Agile 

Data through users' virtualization software pulls data from target sources, then combine it in real-time to provide the outcome needed when accessing the performance; it's important to see which element causes a delay in the process.

Read these latest Denodo Interview Questions that help you grab high-paying jobs


Data Services

The data service layer is a layer that can supply data to various users on a wide scale. Data virtualization can quickly develop new data services by using the view in the virtual layer. Some of the problems that these services encounter is: 

  • Complex architectures and time-consuming make it difficult to integrate different systems.
  • Its rigid infrastructure makes it difficult to respond swiftly to customer requests for new services.
  • Rely excessively on the IT dept

Advantages of Data Services

  • Through a single data layer, every enterprise application can access all information
  • By data services layer, many issues can be resolved 
  • Though all sources are homogeneous, you can access them all 
  • Simple ESB software plugins

1) Defining Contracts/Interfaces

An interface is a view in Denodo that describes fields and their data types. You can create the fields and associate the interface data in the top-down design.

2) SOAP Web Services 

Web services are those solutions that enable the machine to machine communication via the internet. To exchange messages, these services employ SOAP protocol.

3) REST Web Services

REST services are different Web services. This type of service communicates through HTTP and uses the REST architectural style as the messaging protocol.

4) Publish Web Services

This Web container status window in the Denodo Administration tool is used to manage REST and SOAP services. To get this tool on the screen, go to the Tools >Web services container in the menu bar, and a table will appear, listing the web services generated in a certain Denodo Database.

5) Invocation of Services 

REST services work the same as the RESTFUL services; however, you only have access to the views built with the REST services.

6) Change Web Service Implementation

It's used to make a derived view and to implement the i_client_info interface to utilize client_info_impl as its implementation view in this section.


Big Data

The marketing department compiles a list of new clients daily. An Apache Hadoop distribution is in place to process the input data and produce the needed output to create the list of prospects. This section will teach you how to integrate a Big Data system into the Denodo Platform.

1) Using hive for creating JDBC Data Source

Apache Hive is software for a data warehouse that enables analytics datasets distributed storage easier. HiveQL is a SQL -like language that allows you to project structure onto this data and query it.

2) Connecting to other Big Data systems

Using Denodo Platform 8.0 to access Big Data Platforms is explained in this. Denodo Platform connects to different data sources; the list below is the options used to connect to these systems from Denodo Platform: 

  • Apache Impala
  • HBase
  • Presto
  • Spark SQL
  • HDFS
  • Splunk
  • MapReduce

3) Using the REST API for Accessing HCatalog

HCatalog is a Hadoop table and storage management layer that makes reading and writing easier. It gives a relational view of the data on HDFS with HCatalog, and they don't have to think about where and how the data is stored. 

Checkout: [Big Data vs Data Warehouse]

Agile BI 

Denodo Agile BI will go through the basics of using Data Virtualisation tools and how Denodo Platform analyses Business data for Operational insights. Key advantages of adopting Data Virtualisation: 

  • Presenting the use case 
    • Solution implementation with Denodo
    • Connecting Data Sources 
    • Blending the data
    • Generating final results for publishing data for clients
  • Using BI Tool for consuming data

1) Business problem 

Traditional business methods sometimes result in the repetition of logic being built repeatedly on BI and reporting systems to generate similar results. Now the logic for the business required to build all the reports will be collected by the Data Virtualisation layer, making it simplified, modified, and easily shared with external BI tools without duplicating code across them.

2) Connecting to Data Sources 

Data is stored and organized into a unified manner of marketing promotion performance. The procedure for this is like this:

For real-time retrieval of data, connect Denodo to your Data Sources. 

  • After applying the necessary transformations, combine the information.
  • Prepare final reports for consumption
  • Publish the client's application data

3) Combining the data

Now, it's time to combine all the data that we have data sources and base views in place. The first step is to make a standardized view of each data source to create a set of foundation business entities for more complex reports to build later. 

4) Publishing the clients

This BI tool connects to Denodo through ODBC and shares regular SQL queries. Denodo delivers all the views automatically over JDBC and ODBC by default. We need to perform manual publishing procedures when establishing web services.

5) Using a BI tool

A client tool is used to access the views we developed in the Denodo Platform. We'll use Tableau. However, any standard tool may access Denodo using the JDBC, ODBC, or Web Services interfaces.


Creating a Web Service

Follow the steps to create a SOAP web service in Denodo:

Step 1: Utilize the Virtual Data Port Administration Tool to create SOAP Data Services by going to the Administration tool to create a new folder in the two data service folders.

Step 2: Right-click on the folder and choose "New/Data Service/SOAP Web Service."

Step 3: This opens the "Create SOAP Web Services" Dialog. This dialog has the following tabs:

  • Settings: It handles the configuration.
  • Operations: In this section, you can define the catalog of web services functions.
  • Advanced: In this tab, you can modify the connection parameters between Denodo Server and Web Service.

Step 4: Press “+ next” for the “i_client_info” and rename operation “getl_CLIENT_INFOByCLIENT_ID.” to: getClientById

Step 5: When you search the clients through ID, you must leave the input_parameter "client_id" and the rest. You can do it through choosing Drop by clicking on other fields.


Deploying the Web Service

We are deploying the web services by right-clicking them.

This will deploy the web service and deliver the URL to access the web service.


Denodo for AWS, Azure, and GCP

1) Denodo on AWS

Denodo platform on the AWS allows you to utilize data virtualization with cloud computing capabilities and migrate them to the cloud. It helps design and implement the hybrid cloud structure that offers a data services layer throughout the cloud. The best architectural practices are:

  • Deployment on the AWS Cloud 
  • Data Virtualisation in Cloud

2) Denodo for Azure

Denodo Platform 8 improves denote virtualization for Azure with the latest integrated web-oriented user interface with sole sign-on, hyper-performance with ML, AI-powered data catalog improved intelligent query optimization and configuration settings, the Apache Zeppelin-oriented Denodo notebook, etc. Denodo Platform for Azure provides the same capabilities on-site. Denodo Standard 8 delivers an efficient and easy option to start utilizing Denodo. And pay-as-you-go in the cloud marketplaces. Denodo has the following Microsoft Azure Services:

  • Azure Synapse Analytics
  • Azure SQL Database
  • Azure Cosmos DB
  • Azure HDInsight
  • Azure Blob
  • Azure Data Lake Storage Gen2

3) Denodo for GCP (Google Cloud Platform)

You can install Denodo on the GCP(Google Cloud Platform) as IaaS(Infrastructure as a Service) or through the GCP(Google Cloud Platform) Marketplace. While utilizing the GCP as the cloud infrastructure, we can install the Denodo Platform through BYOL(Bring Your License).

Denodo 8 has introduced the latest entry-level version of the Denodo data virtualization for the cloud marketplaces known as Denodo Standard. It offers cost-efficient options in cloud marketplaces. Through the Denodo Platform, we can utilize ODBC or JDBC for connecting to various data sources. Following are some data sources supported through connectors in the Denodo platform:

  • Google Cloud Storage
  • Google DataProc
  • Google BigQuery
  • Cloud Spanner
  • Google Cloud SQL
  • Cloud Bigtable



Denodo platform has been a leader in data management that offers Data virtualization like Data access management, data security, and cloud infrastructure for your business. For easy access and management of data, this Denodo Tutorial will help you guide your enterprise's process.

I hope this Denodo tutorial provides you with the required information about Data Virtualization and Denodo.



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