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Analytics on Microsoft Azure Specialization

We design and deliver tailor-made analytics solutions on Microsoft Azure and Microsoft Fabric – from architecture design to production deployment. Our projects are built on proven Microsoft best practices and real-world experience from production environments.


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Solutions Partner Designations

Data & AI (Azure) confirms our expertise in data analytics, integrations, and the design of analytical solutions built on the Microsoft Azure platform.

 

Digital & App Innovation (Azure) confirms our expertise in the design, development, and modernization of applications and digital solutions built on the Microsoft Azure platform.

 


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Azure Solutions Architect Expert

As a Microsoft Azure solutions architect, you have subject matter expertise in designing cloud and hybrid solutions that run on Azure, including:

  • Compute
  • Network
  • Storage
  • Monitoring
  • Security

Details

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Fabric Analytics Engineer Associate

  • Plan, implement, and manage a solution for data analytics
  • Prepare and serve data
  • Implement and manage semantic models
  • Explore and analyze data

Details

Fabric Data Engineer Associate

  • Ingesting and transforming data.
  • Securing and managing an analytics solution.
  • Monitoring and optimizing an analytics solution.

Details

Azure Data Engineer Associate

  • Design and implement data storage
  • Design and develop data processing
  • Design and implement data security
  • Monitor and optimize data storage and data processing

Details

Power BI Data Analyst Associate

  • Prepare data
  • Model data
  • Visualize data
  • Analyze data
  • Deploy and maintain deliverables

Details

Azure Administrator Associate

  • Manage Azure identities and governance
  • Implement and manage storage
  • Deploy and manage Azure compute resources
  • Configure and manage virtual networking
  • Monitor and maintain Azure resources

Details

Azure Enterprise Data Analyst Associate

  • Implement and manage a data analytics environment
  • Query and transform data
  • Implement and manage data models
  • Explore and visualize data

Details

Azure Data Engineer Associate

  • Design and implement data storage
  • Design and develop data processing
  • Design and implement data security
  • Monitor and optimize data storage and data processing

Details

Power Automate RPA Developer Associate

You analyze, design, and implement automations by using Power Automate desktop flows and cloud flows. As a robotic process automation (RPA) developer, you use actions for logic and work with:

  • Data
  • Applications
  • Services

Details

Power Platform Fundamentals

  • Describe the business value of Power Platform
  • Identify the core components of Power Platform
  • Demonstrate the capabilities of Power BI
  • Describe the capabilities of Power Apps
  • Demonstrate the capabilities of Power Automate
  • Demonstrate the business value of Power Virtual Agents

Details

Azure Data Fundamentals

  • Describe core data concepts
  • Describe how to work with relational data on Azure
  • Describe how to work with non-relational data on Azure
  • Describe an analytics workload on Azure

Details

Azure AI Fundamentals

  • Describe AI workloads and considerations
  • Describe fundamental principles of machine learning on Azure
  • Describe features of computer vision workloads on Azure
  • Describe features of Natural Language Processing (NLP) workloads on Azure
  • Describe features of conversational AI workloads on Azure

Details

Analyzing Data with Microsoft Power BI

  • Prepare data
  • Model data
  • Visualize data
  • Analyze data
  • Deploy and maintain deliverables

Details

Analyzing and Visualizing Data with Microsoft Excel

  • Consume and Transform Data by Using Microsoft Excel
  • Model Data
  • Visualize Data

Details

Microsoft 365 Identity and Services

  • Design and implement Microsoft 365 services
  • Manage user identity and roles
  • Manage access and authentication
  • Plan Office 365 workloads and applications

Details

Data Management and Analytics

  • This certification validates that you have the skills needed to run a highly efficient and modern data center, identity management, systems management, virtualization, storage, and networking.

Details

SQL 2016 Database Development

  • Manage data with Transact-SQL
  • Query data with advanced Transact-SQL components
  • Program databases by using Transact-SQL
  • Design and implement database objects
  • Implement programmability objects
  • Manage database concurrency
  • Optimize database objects and SQL infrastructure

Details

BI Reporting

  • Consuming and Transforming Data By Using Power BI Desktop
  • Modeling and Visualizing Data
  • Configure Dashboards, Reports and Apps in the Power BI Service
  • Consume and Transform Data by Using Microsoft Excel
  • Model Data
  • Visualize Data

Details

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  • Tabular Editor Certification Exam
  • Tabular Editor Certified Trainer Exam
Axelos
  • ITIL 4 Foundation
  • Prince2® Foundation
  • Prince2® Practitioner
  • MoP® Foundation Certificate in Portfolio Management
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  • Certified SAFe 6 Agilist

ISO/IEC 27001 - Information Security Management (ISMS)

  • Information security is an integral part of the entire management system of the organization;
  • the main factors affecting business competition, information and their security are in controlled mode;
  • system reliability is supported by backup systems;
  • employees are responsible for securing the information of their workplaces and their customers;
  • the requirement for continuous improvement guarantees long-term effective cost management.

Details

ISO 9001 - Quality Management Systems (QMS)

  • Provision of services to even the most demanding customers and the possibility of acquiring new customers with regard to increasing their satisfaction;
  • the possibility to participate in tenders for large contracts, especially in the state administration;
  • increase sales, profit, market share through effectively set processes and thereby increase the satisfaction of owners;
  • proof of commitment to complying with legal and regulatory requirements;
  • guarantee of the stability of the production process and thus the stable and high quality of the services and products provided to customers;
  • etc.

Details

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