Innovation and technology nurture each other.

We harness the power of data for better decision making within an innovative organizational culture, through our team of Data Architects, Data Scientists and Data Engineers.

This evolves into gigantic volumes of data, which using the tools provided by the cloud allows us not only to improve its analysis but also to implement Machine Learning and AI to increase business intelligence.

Intelligent Forecasting

AI solution that allows the forecasting of business events in advance in order to plan improvements and actions that optimize results.

Data Lakes

Business analysis, manage diverse data sources, and achieve a better understanding of the world through these centralized repositories.

Master Data Optimization

The Master Data Optimization solution uses Machine Learning to automate the creation, remediation and continuous maintenance of master databases.

HealthBot

Virtual health channel that uses cognitive technologies such as artificial intelligence, in order to optimize and speed up the times of health institutions.

Innovation Workshops

Teaching disruptive processes maintaining the operation and eliminating variation, in order to allow the execution of correct decision-making.

Intelligent Automation

Robotic Process Automation (RPA) and Artificial Intelligence that empower a rapid automation of end-to-end business processes and accelerate digital transformation.

Nubiral Cognitive AI Bot

Virtual conversational assistant based on Artificial Intelligence (AI) that enables real-time file processing.

Intelligent Document Processing

An AI solution that allows extracting information from documents and incorporating it into an automatic process, using OCR technology.

Intelligent Forecasting for demand planning

An insurance company performs demand forecasting in its various business units and reduces forecasting errors.

Read more

Anomaly detection through Data Lake and Fraud Detector

An important insurance company in Mexico detects anomalies and prevents actions with a probability of being fraudulent.

Read more

Application of multivariate models to improve delinquency and loss

Improvement of delinquency and loss indicators through the application of multivariate models that analyze different aspects of clients.

Read more

Detection and correction of fraud using Fraud Detector

Fraud prevention using a machine learning model created by Nubiral: Fraud Detector.

Read more
Blog

Microsoft Fabric and Power BI Copilot: the power of data to the extreme

These two integrated tools make it easier to obtain the maximum possible value throughout the entire data lifecycle.

Read more
eBooks

MLOps: powering the value of machine learning

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Papers

Trends 2024: Start getting value from generative AI

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Whitepapers

Microsoft Fabric Guide: Use case end-to-end Deployment

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Read more

Learn about our architecture that combines at least one public and one private cloud to deliver the highest levels of scalability, flexibility, and performance.

Application modernization by migrating to the AWS cloud

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Migration to AWS by a major Japanese automobile company

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Read more

An important logistics company migrates its systems to AWS

OCA Argentina relies on legacy systems with limited cloud integration, so it modernized its technology by migrating to AWS.

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Application migration, optimization, efficiency, security, analytics and implementation services, with the aim of simplifying and accelerating the adoption of the latest IT trends in the market.

Planning and Consulting

  • Evaluation and Planning
  • Adoption Strategy Consultancy

Test

  • Test Automation

Execution

  • Design and implementation of CI/CD Pipeline
  • Automation and implementation of processes

App Dev

  • Code (JavaScript, Go, Python)

Telecommunications modernization with AWS technologies

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As ZABBIX Certified Partners, we scale to environments with thousands of items monitored simultaneously.
We also capture data of systems and applications over time to make proactive decisions and to anticipate disruptions in business services.

  • Zabbix Architecture and Implementation
  • Data & Analytics Monitoring

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eBooks

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Whitepapers

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OpenSearch is a comprehensive solution for centralizing and analyzing logs from various sources, ideal for managing complex IT scenarios.

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We help innovate by preparing our clients against current cyber threats.

We fulfill the responsibility of protecting data to maintain trust and comply with regulations.

  • Cloud Assessment & Consulting
  • Security Frameworks & Best Practices
  • Penetration Testing
  • Cloud Security
  • DevSecOps
Blog

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Read more

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Read more

Cybersecurity: Key Pillar for a 360º Digital Experience

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AI-powered Conversational Assistants

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Read more

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Read more

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Intelligent Document Processing

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Connect+ is a great tool to incorporate knowledge and stay up to date with the latest technological developments.

Access new innovative audiovisual content, quickly and easily. Explore and get to know the technological universe in a different and agile way!

Microsoft Fabric Guide: Use case end-to-end Deployment

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Read more

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Read more

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AWS + Nubiral

As an Advanced Consulting Partner of the AWS Partner Network, we think outside the box, daring to go where no one has gone before.
We constantly challenge ourselves to be better, providing your company with AWS solutions in a holistic and tailored way.

Microsoft + Nubiral

As Cloud Gold Partner, we work together with Microsoft every day to offer our clients the most innovative solutions based on the different microservices and capabilities that the Azure cloud offers.
Our team is constantly training and certifying on Azure’s services.

Zabbix + Nubiral

As ZABBIX Certified Partners, we scale to environments with thousands of items monitored simultaneously.
We also capture data of systems and applications over time to make proactive decisions and to anticipate disruptions in business services.

Data
& Innovation

General Info

Innovation and technology nurture each other.

We harness the power of data for better decision making within an innovative organizational culture, through our team of Data Architects, Data Scientists and Data Engineers.

This evolves into gigantic volumes of data, which using the tools provided by the cloud allows us not only to improve its analysis but also to implement Machine Learning and AI to increase business intelligence.

Solutions

Intelligent Forecasting

AI solution that allows the forecasting of business events in advance in order to plan improvements and actions that optimize results.

Data Lakes

Business analysis, manage diverse data sources, and achieve a better understanding of the world through these centralized repositories.

Master Data Optimization

The Master Data Optimization solution uses Machine Learning to automate the creation, remediation and continuous maintenance of master databases.

HealthBot

Virtual health channel that uses cognitive technologies such as artificial intelligence, in order to optimize and speed up the times of health institutions.

Innovation Workshops

Teaching disruptive processes maintaining the operation and eliminating variation, in order to allow the execution of correct decision-making.

Intelligent Automation

Robotic Process Automation (RPA) and Artificial Intelligence that empower a rapid automation of end-to-end business processes and accelerate digital transformation.

Nubiral Cognitive AI Bot

Virtual conversational assistant based on Artificial Intelligence (AI) that enables real-time file processing.

Intelligent Document Processing

An AI solution that allows extracting information from documents and incorporating it into an automatic process, using OCR technology.

Success Stories

Intelligent Forecasting for demand planning

An insurance company performs demand forecasting in its various business units and reduces forecasting errors.

Read more

Anomaly detection through Data Lake and Fraud Detector

An important insurance company in Mexico detects anomalies and prevents actions with a probability of being fraudulent.

Read more

Application of multivariate models to improve delinquency and loss

Improvement of delinquency and loss indicators through the application of multivariate models that analyze different aspects of clients.

Read more

Detection and correction of fraud using Fraud Detector

Fraud prevention using a machine learning model created by Nubiral: Fraud Detector.

Read more

Connect

Blog

Microsoft Fabric and Power BI Copilot: the power of data to the extreme

These two integrated tools make it easier to obtain the maximum possible value throughout the entire data lifecycle.

Read more
eBooks

MLOps: powering the value of machine learning

A comprehensive guide to MLOps, a key discipline that guarantees the success of Machine Learning (ML) projects in organizations.

Read more
Papers

Trends 2024: Start getting value from generative AI

Over the next 12 months, we will witness an incremental adoption of generative AI, higher levels of maturity and new use cases.

Read more
Whitepapers

Microsoft Fabric Guide: Use case end-to-end Deployment

Banks and financial services companies can benefit in numerous ways by deploying Microsoft Fabric.

Read more

Hybrid
Multi Cloud

General Info

Learn about our architecture that combines at least one public and one private cloud to deliver the highest levels of scalability, flexibility, and performance.

Success Stories

Application modernization by migrating to the AWS cloud

Migration to the AWS Cloud at Telecom Argentina, modernizing obsolete applications with a focus on operational excellence.

Read more

Modernization of multimedia content with AWS Migration

Successful migration to AWS cloud to modernize Claro Video’s multimedia content infrastructure.

Read more

Migration to AWS by a major Japanese automobile company

The smooth migration of Toyota to AWS unleashes performance, cost efficiency, and user satisfaction.

Read more

An important logistics company migrates its systems to AWS

OCA Argentina relies on legacy systems with limited cloud integration, so it modernized its technology by migrating to AWS.

Read more

Connect

Blog

5 benefits of serverless architectures

Higher levels of scalability and an absolute focus on digital business transformation, are just some of the many advantages of this model.

Read more
eBooks

Cloud 4.0: A phenomenon in exponential growth

A tour of the main opportunities that arise from a correct and timely migration of workloads to the cloud, and the trends that are being visualized in the cloud universe.

Read more
Papers
04 October , 2022

Cloud 4.0: A phenomenon in exponential growth

A tour of the main opportunities that arise from a correct and timely migration of workloads to the cloud, and the trends that are being visualized in the cloud universe.

Read more

DevOps
& App Evolution

General Info

Application migration, optimization, efficiency, security, analytics and implementation services, with the aim of simplifying and accelerating the adoption of the latest IT trends in the market.

Solutions

Planning and Consulting

  • Evaluation and Planning
  • Adoption Strategy Consultancy

Test

  • Test Automation

Execution

  • Design and implementation of CI/CD Pipeline
  • Automation and implementation of processes

App Dev

  • Code (JavaScript, Go, Python)

Success Stories

Telecommunications modernization with AWS technologies

A leading telecommunications company modernizes its applications to respond more quickly and agilely to market changes.

Read more

App Modernization in Telecommunications and Entertainment

A prominent telecommunications and entertainment company achieved billing app availability levels of 99.95% in Colombia.

Read more

Azure Governance & App Modernization

A leading telecommunications and entertainment company achieved application billing availability levels of 99.95%.

Read more

Migration deployment of Core Banking hosted in the AWS cloud

Fintech deploys the Core Banking of its platform allowing the integration of new services in an effective and easy way.

Read more

Connect

Blog

The importance of containers in modernization

A way to lower costs, generate efficiency and accelerate transformation when migrating legacy systems or upgrading applications.

Read more
eBooks

Agile & DevOps

A review of the meanings of each of these concepts, how they integrate with each other and what benefits they bring.

Read more

Monitoring
& Intelligence

General Info

As ZABBIX Certified Partners, we scale to environments with thousands of items monitored simultaneously.
We also capture data of systems and applications over time to make proactive decisions and to anticipate disruptions in business services.

Solutions

  • Zabbix Architecture and Implementation
  • Data & Analytics Monitoring

Success Stories

Monitoring solution upgrade using Zabbix

Migration of monitoring tool to an automated system for host discovery, dashboards, and scalability over time.

Read more

Telephone exchange monitoring, usage metrics, and channels

Monitoring of AVAYA phone system through the implementation of Zabbix, executing the only method of information extraction via telnet manager.

Read more

Implementation of monitoring solution with Zabbix

A leading payment solutions company implements a new automated monitoring platform equipped with a real-time messaging alert system for incident prevention.

Read more

IT Resource Monitoring Platform

Monitoring & Intelligence | Insurance | Zabbix IT Resource Monitoring Platform Integration of Zabbix with the VMWare solution and monitoring of PABX trunk lines from providers, UPS equipment, and Chillers....
Read more

Connect

Blog

System Monitoring: the 5 most anticipated features for Zabbix 6.4

System monitoring is a critical task for any company that wants to make sure its systems are working properly. What’s new in the 6.4 version of Zabbix?

Read more
eBooks

Compliance: the evolution of monitoring

A key paradigm for anticipating and solving problems in increasingly complex IT infrastructures.

Read more
Whitepapers

OpenSearch and its log agents

OpenSearch is a comprehensive solution for centralizing and analyzing logs from various sources, ideal for managing complex IT scenarios.

Read more

Cybersecurity

General Info

We help innovate by preparing our clients against current cyber threats.

We fulfill the responsibility of protecting data to maintain trust and comply with regulations.

Solutions

  • Cloud Assessment & Consulting
  • Security Frameworks & Best Practices
  • Penetration Testing
  • Cloud Security
  • DevSecOps

Connect

Blog

Cybersecurity: Key Pillar for a 360º Digital Experience

To mitigate the risks associated with cyberattacks and protect data is essential to survive and lead in the era of digital transformation.

Read more

Partners

Solutions

AWS + Nubiral

As an Advanced Consulting Partner of the AWS Partner Network, we think outside the box, daring to go where no one has gone before.
We constantly challenge ourselves to be better, providing your company with AWS solutions in a holistic and tailored way.

Microsoft + Nubiral

As Cloud Gold Partner, we work together with Microsoft every day to offer our clients the most innovative solutions based on the different microservices and capabilities that the Azure cloud offers.
Our team is constantly training and certifying on Azure’s services.

Zabbix + Nubiral

As ZABBIX Certified Partners, we scale to environments with thousands of items monitored simultaneously.
We also capture data of systems and applications over time to make proactive decisions and to anticipate disruptions in business services.

Success Stories

Intelligent Forecasting for process automation

Solution enabling the automation of demand planning processes across various business units within the company.

Read more

A medical center implements a chatbot and cognitive services

Improvement in patient care times and reduction in administrative staff dedication costs for routine tasks.

Read more

Monitoring solution upgrade using Zabbix

Migration of monitoring tool to an automated system for host discovery, dashboards, and scalability over time.

Read more

Connect

Blog

Blog

16 April , 2024

Microsoft Fabric and Power BI Copilot: the power of data to the extreme

These two integrated tools make it easier to obtain the maximum possible value throughout the entire data lifecycle.

Leer más
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One study revealed that the more experience companies gain using AI, the more use cases they develop.

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06 April , 2024

Cybersecurity: Key Pillar for a 360º Digital Experience

To mitigate the risks associated with cyberattacks and protect data is essential to survive and lead in the era of digital transformation.

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03 April , 2024

AI-powered Conversational Assistants

Innovación que revoluciona la interacción con los usuarios aprovechando el poder de los modelos de lenguaje conocidos como LLM.

Leer más

eBooks & Papers

eBooks & Papers

07 December , 2023

MLOps: powering the value of machine learning

A comprehensive guide to MLOps, a key discipline that guarantees the success of Machine Learning (ML) projects in organizations.

Leer más

DataOps: everyone plays their own game

Discover how this discipline provides a framework and tools to align the engineering and analytics teams to improve the management of the data ecosystem in the organization.

Leer más
29 August , 2023

GenAI Services: A land of opportunity for organizations.

The new user-friendly way to adopt generative artificial intelligence to power business.

Leer más
01 August , 2023

Intelligent Document Processing

Converting contained data into business-valuable documents. The power of combining document management and artificial intelligence.

Leer más

Connect+

Connect+

Connect+ is a great tool to incorporate knowledge and stay up to date with the latest technological developments.

Access new innovative audiovisual content, quickly and easily. Explore and get to know the technological universe in a different and agile way!

23 April , 2024

Ciberseguridad en tu empresa: la solución digital 360º de Nubiral

Cómo se desarrolla un plan de ciberseguridad, cuáles son las principales amenazas y las tecnologías más modernas para enfrentarlas.

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18 April , 2024

Las claves para comenzar con un desarrollo cloud native

Cómo construir aplicaciones para obtener el máximo provecho de los beneficios que propone la nube.

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11 April , 2024

Fine-tuning en Generative AI: el potencial de tus datos, al máximo

El fine-tuning en Generative AI es un proceso que permite personalizar modelos fundacionales preentrenados y ajustarlo a los datos específicos de una organización.

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Whitepapers

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08 April , 2024

Microsoft Fabric Guide: Use case end-to-end Deployment

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08 October , 2023

OpenSearch and its log agents

OpenSearch is a comprehensive solution for centralizing and analyzing logs from various sources, ideal for managing complex IT scenarios.

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04 October , 2023

AI-based conversational assistant

Step by step, from the requirements request to the continuous improvement, how to develop a conversational assistant based on artificial intelligence.

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Whitepapers

How to Deploy Microsoft Fabric in Multicloud Infrastructures

Microsoft Fabric’s data analytics combined with the power of the multi-cloud architecture, drives decision making and empowers users.

Home / How to Deploy Microsoft Fabric in Multicloud Infrastructures

1. Introduction

Microsoft Fabric enables effective data management, which is no longer an option for organizations, but an obligation. It is a critical element to make informed decisions and lead in an increasingly demanding and competitive business environment.

Combining data analytics with multi-cloud infrastructure becomes key to collect, process and visualize data across multiple cloud platforms.

This guide explores step-by-step how Microsoft Fabric can help organizations make the most of their data in a distributed environment. Join us!

2. What is Microsoft Fabric?

Microsoft Fabric is an all-in-one analytics platform that spans the entire data lifecycle. From data input and transformation, to storage.

It includes powerful data science, real-time analytics and business intelligence capabilities. It integrates all these functionalities in one repository and eliminates the need to rely on multiple providers.

In addition, it stands out for its low code/no code user interface: so even business users with no programming experience can take advantage of it. This empowers business teams and maximizes efficiency in the use of data.

3. Advantages of using Microsoft Fabric in a multi-cloud infrastructure

Deploying Microsoft Fabric in a multi-cloud infrastructure offers significant advantages:

It unifies data management in a single solution, simplifying operations, improving decision making and empowering business users.

– As a result, users achieve greater operational efficiency, more agility to adapt to changing needs, and higher levels of security and compliance.

– At the same time, it leverages the specific capabilities of multiple cloud providers.

 

4. The implementation process step-by-step

4.1 Objectives and scope

The definition of project objectives and its scope is a fundamental step in the implementation of any initiative. It involves an identification of the expected achievements and limits of the project.

What data needs to be moved? How often is it updated? What systems depend on it? The answers to these questions provide valuable context.

Consideration should be given to issues related to the allocated budget, anticipated benefits, and assessment of potential risks inherent in the implementation.

It is also crucial to ensure that all stakeholders understand the objectives and boundaries of the project. Transparent communication and effective alignment with stakeholders ensure the necessary support throughout the process.

 

4.2 Prerequisites and initial configuration 

In Microsoft Fabric there is no need to deal with complex initial configurations. With just a few clicks users can start taking full advantage of this powerful data analysis and management tool.

To enable Microsoft Fabric’s preview features, certain prerequisites must be met:

– Have an organizational level tenant in the Microsoft environment.

– Have an administrator role in Microsoft 365, Power Platform or Fabric.

Then, the initial configuration process is straightforward. Simply access the tenant settings and enable Microsoft Fabric for the entire organization or for a specific group of users.

 

 4.3. Identification of data sources

This process allows users to understand the complexity of the data to be transferred between different cloud environments and to ensure its successful migration.

The key steps to perform this task effectively are:

Data source inventory: includes all data sources in the current infrastructure: databases, file systems, applications, web services and any other data repositories.

Data classification: this is done based on the data importance and criticality to the business. Some may be essential, while others may be less relevant. This classification will help prioritize the migration.

Dependency analysis: identifies dependencies between different data sets and applications. Some may be interdependent and should be migrated together to avoid consistency issues.

Data quality assessment: performed on each source and includes data accuracy, completeness and consistency. Poor quality data may require cleaning prior to migration.

Data mapping: creates a detailed map indicating where data comes from, how it is used and where it should be located in the target multicloud environment. This includes defining data structures, formats and schemas.

 

4.4. Data intake and data preparation 

In the world of data and analytics, data intake and data preparation are the foundation on which informed business decisions are built.

In this context, Microsoft Fabric offers two powerful tools – Pipelines and Dataflows – that simplify these crucial processes and deliver exceptional benefits by unifying data from multiple clouds.

Both allow information to be brought in from different clouds (Azure, AWS, GCP, among others) with native plug-ins that are configured with a few basic parameters. Its simplicity makes data input accessible even to non-technical users.

Pipelines is a complete and versatile solution for data ingestion. Its ability to connect multiple sources – from local databases to clouds and third-party applications – makes it the perfect partner for consolidating dispersed data.

Automating intake and scheduling it at regular intervals is an invaluable advantage. Data can be extracted and transformed in real time or according to a predefined schedule, with the certainty that it is always up-to-date and ready for analysis.

Power BI Dataflow, on the other hand, facilitates the preparation of data in an agile and powerful way for the transformation stage. It allows users to create ETL (Extract, Transform, Load) processes in an intuitive drag-and-drop interface. It is also possible to apply filters, clean data, perform aggregations and combine multiple sources without the need for complex coding.

One of the most outstanding advantages of Dataflow is its reusability. The transformation workflows created can be shared and used in various Power BI reports and dashboards. This saves time and ensures consistency in analysis.

 

4.5. Selecting the right storage

Depending on the initial requirements, the type of data and the queries to be performed, users can choose between a Data Warehouse or a Lakehouse:

DataLake VS DataWarehouse

The solid foundations of enterprise data have already been laid and unified in Microsoft Fabric’s OneLake. The doors are now open to more ambitious challenges of data analytics, machine learning models and much more.

 

4.6 Collaborative development in a single environment

In addition to simplifying data management, Microsoft Fabric encourages collaboration. In this single centralized environment, multidisciplinary teams can work together more efficiently and effectively.

Data analysts, data scientists, developers and business experts access the same data and tools, accelerating the development process.

This means users can create smarter and more agile solutions that adapt to the changing business needs.

OneLake

5. Conclusions

Microsoft Fabric in a multi-cloud infrastructure:

  • Enables simpler integrations at lower costs. 
  • Decreases the multitude of vendors and tools.
  • Provides an end-to-end solution that unlocks the power of data.
  • Requires no data movement and eliminates the need to duplicate data.
  • Provides a unified SaaS environment with a single pricing structure. This promotes transparency and facilitates consumption analysis.
  • Incorporates security and data governance.

Although Fabric is a recently launched product, Microsoft announced that among its plans is the idea of creating migration paths that streamline the migration of data architectures made in Azure to the Fabric ecosystem.

We will have to wait a little longer to benefit from this upcoming feature, but one thing is for sure: in the future, the benefits will enhanced.

Ready to transform your Microsoft Fabric operations into a multi-cloud infrastructure? Contact us to get personalized advice and start your journey towards more efficient data management. Schedule your meeting today!

Tech Guide: How to Deploy Microsoft Fabric in Multicloud Infrastructures


 

  1. Introduction

Microsoft Fabric enables effective data management, which is no longer an option for organizations, but an obligation. It is a critical element to make informed decisions and lead in an increasingly demanding and competitive business environment. 

Combining data analytics with multi-cloud infrastructure becomes key to collect, process and visualize data across multiple cloud platforms.

This guide explores step-by-step how Microsoft Fabric can help organizations make the most of their data in a distributed environment. Join us! 

  1. What is Microsoft Fabric

Microsoft Fabric is an all-in-one analytics platform that spans the entire data lifecycle. From data input and transformation, to storage.

It includes powerful data science, real-time analytics and business intelligence capabilities. It integrates all these functionalities in one repository and eliminates the need to rely on multiple providers.

In addition, it stands out for its low code/no code user interface: so even business users with no programming experience can take advantage of it. This empowers business teams and maximizes efficiency in the use of data.

  1. Advantages of using Microsoft Fabric in a multi-cloud infrastructure

Deploying Microsoft Fabric in a multi-cloud infrastructure offers significant advantages:

It unifies data management in a single solution, simplifying operations, improving decision making and empowering business users.

– As a result, users achieve greater operational efficiency, more agility to adapt to changing needs, and higher levels of security and compliance.

– At the same time, it leverages the specific capabilities of multiple cloud providers.

  1. The implementation process step-by-step

4.1 Objectives and scope

The definition of project objectives and its scope is a fundamental step in the implementation of any initiative. It involves an identification of the expected achievements and limits of the project.

What data needs to be moved? How often is it updated? What systems depend on it? The answers to these questions provide valuable context.

Consideration should be given to issues related to the allocated budget, anticipated benefits, and assessment of potential risks inherent in the implementation.

It is also crucial to ensure that all stakeholders understand the objectives and boundaries of the project. Transparent communication and effective alignment with stakeholders ensure the necessary support throughout the process. 

4.2 Prerequisites and initial configuration 

In Microsoft Fabric there is no need to deal with complex initial configurations. With just a few clicks users can start taking full advantage of this powerful data analysis and management tool.

To enable Microsoft Fabric’s preview features, certain prerequisites must be met:

– Have an organizational level tenant in the Microsoft environment.

– Have an administrator role in Microsoft 365, Power Platform or Fabric.

Then, the initial configuration process is straightforward. Simply access the tenant settings and enable Microsoft Fabric for the entire organization or for a specific group of users.

 4.3. Identification of data sources

This process allows users to understand the complexity of the data to be transferred between different cloud environments and to ensure its successful migration.

The key steps to perform this task effectively are:

Data source inventory: includes all data sources in the current infrastructure: databases, file systems, applications, web services and any other data repositories.

Data classification: this is done based on the data importance and criticality to the business. Some may be essential, while others may be less relevant. This classification will help prioritize the migration.

Dependency analysis: identifies dependencies between different data sets and applications. Some may be interdependent and should be migrated together to avoid consistency issues.

Data quality assessment: performed on each source and includes data accuracy, completeness and consistency. Poor quality data may require cleaning prior to migration.

Data mapping: creates a detailed map indicating where data comes from, how it is used and where it should be located in the target multicloud environment. This includes defining data structures, formats and schemas.

4.4. Data intake and data preparation 

In the world of data and analytics, data intake and data preparation are the foundation on which informed business decisions are built.

In this context, Microsoft Fabric offers two powerful tools – Pipelines and Dataflows – that simplify these crucial processes and deliver exceptional benefits by unifying data from multiple clouds.

Both allow information to be brought in from different clouds (Azure, AWS, GCP, among others) with native plug-ins that are configured with a few basic parameters. Its simplicity makes data input accessible even to non-technical users.

Pipelines is a complete and versatile solution for data ingestion. Its ability to connect multiple sources – from local databases to clouds and third-party applications – makes it the perfect partner for consolidating dispersed data.

Automating intake and scheduling it at regular intervals is an invaluable advantage. Data can be extracted and transformed in real time or according to a predefined schedule, with the certainty that it is always up-to-date and ready for analysis.

Power BI Dataflow, on the other hand, facilitates the preparation of data in an agile and powerful way for the transformation stage. It allows users to create ETL (Extract, Transform, Load) processes in an intuitive drag-and-drop interface. It is also possible to apply filters, clean data, perform aggregations and combine multiple sources without the need for complex coding.

One of the most outstanding advantages of Dataflow is its reusability. The transformation workflows created can be shared and used in various Power BI reports and dashboards. This saves time and ensures consistency in analysis. 

4.5. Selecting the right storage

Depending on the initial requirements, the type of data and the queries to be performed, users can choose between a Data Warehouse or a Lakehouse:

DataLake VS DataWarehouse

The solid foundations of enterprise data have already been laid and unified in Microsoft Fabric’s OneLake. The doors are now open to more ambitious challenges of data analytics, machine learning models and much more.

4.6 Collaborative development in a single environment

In addition to simplifying data management, Microsoft Fabric encourages collaboration. In this single centralized environment, multidisciplinary teams can work together more efficiently and effectively.

Data analysts, data scientists, developers and business experts access the same data and tools, accelerating the development process.

This means users can create smarter and more agile solutions that adapt to the changing business needs.

  1. Conclusions

Microsoft Fabric in a multi-cloud infrastructure:

  • Enables simpler integrations at lower costs. 
  • Decreases the multitude of vendors and tools.
  • Provides an end-to-end solution that unlocks the power of data.
  • Requires no data movement and eliminates the need to duplicate data.
  • Provides a unified SaaS environment with a single pricing structure. This promotes transparency and facilitates consumption analysis.
  • Incorporates security and data governance.

Although Fabric is a recently launched product, Microsoft announced that among its plans is the idea of creating migration paths that streamline the migration of data architectures made in Azure to the Fabric ecosystem.

We will have to wait a little longer to benefit from this upcoming feature, but one thing is for sure: in the future, the benefits will enhanced.

Ready to transform your Microsoft Fabric operations into a multi-cloud infrastructure? Contact us to get personalized advice and start your journey towards more efficient data management. Schedule your meeting today!

 

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