The data engineer is responsible for the proper functioning of information storage platforms, particularly databases. They design an appropriate storage space based on an in-depth analysis of the company’s needs.
Maintenance, security, continuous administration, and improvement of storage systems are also part of the data engineer’s responsibilities.
The following training programs aim to:
Possible certifications upon completing your training include:
The AZ-204, titled “Developing Solutions for Microsoft Azure,” represents a crucial certification for professionals seeking to master development on Azure. Designed for Azure developers, this course focuses on creating, implementing, testing, and maintaining cloud solutions using a range of Microsoft Azure services and tools. The course teaches developers how to build comprehensive solutions in Microsoft Azure. Students will learn to implement Azure compute solutions, create Azure Functions, implement and manage web applications, develop solutions that use Azure storage, implement authentication and authorization, and secure solutions using Key Vault and managed identities. Students will also learn to connect to and consume Azure and third-party services, and incorporate event-based and message-based models into their solutions. This training also covers monitoring, troubleshooting, and optimizing Azure solutions.
This training is a comprehensive preparation for the AZ-204 exam to earn the Microsoft Certified: Azure Developer Associate certification.
This four-day Microsoft certification training provides students with the knowledge and skills necessary to administer a SQL Server database infrastructure for cloud, on-premises, and hybrid relational databases, and to work with Microsoft’s PaaS relational database offerings. Additionally, it will be useful for those developing applications that deliver content from SQL-based relational databases.
This training is a comprehensive preparation for the DP-300: Administering Microsoft Azure SQL Solutions exam to earn the Microsoft Certified: Azure Database Administrator Associate.
This course covers the methods and practices for implementing and managing enterprise-scale data analytics solutions with Microsoft Fabric. Students will learn to use dataflows, pipelines, and Fabric notebooks to develop analytical resources such as semantic models, data warehouses, and lakehouses.
This course is designed for experienced data professionals qualified in data preparation, modeling, analysis, and visualization, such as those with the Microsoft Certified: Power BI Data Analyst Associate (PL300) certification.
Learners should have prior experience using one of the following programming languages: Structured Query Language (SQL), Kusto Query Language (KQL), or Data Analysis Expressions (DAX).
This course provides comprehensive preparation for the DP-600: Implementing Analytics Solutions Using Microsoft Fabric exam, leading to the Microsoft Certified: Fabric Analytics Engineer Associate certification.
This course covers methods and practices to implement data engineering solutions by using Microsoft Fabric. Students will learn how to design and develop effective data loading patterns, data architectures, and orchestration processes. Objectives for this course include ingesting and transforming data and securing, managing, and monitoring data engineering solutions. This course is designed for experienced data professionals skilled at data integration and orchestration.
This course provides comprehensive preparation for the DP-700: Microsoft Fabric Data Engineer exam, leading to the Microsoft Certified: Fabric Data Engineer Associate certification.
This one-day training program is designed for IT professionals experienced in SAP solutions who leverage Azure resources, covering the configuration and optimization of SAP environments in Azure for virtual machines, virtual networks, storage accounts, and Microsoft Entra ID. Participants will also explore backup strategies, disaster recovery, and monitoring of SAP systems in Azure. Master the application of concepts, scenarios, and procedures through hands-on labs using Azure Center for SAP solutions.
This learning path enables you to master the migration of SQL Server workloads to Azure SQL. You will develop complete expertise in evaluating SQL Server components and migration compatibility using the Azure SQL migration extension and Data Migration Assistant. You will also discover how to efficiently provision and configure optimized Azure SQL resources.
You will gain comprehensive practical experience to select the optimal migration strategy based on specific business requirements regarding downtime, advanced migration state management, and proactive database migration monitoring.
Additionally, you will master critical post-migration tasks, including disaster recovery and continuous monitoring. These skills are essential to ensure a smooth and efficient transition to Azure SQL and guarantee optimal performance after migration.
This learning path enables you to master the development of data-driven applications with Microsoft Azure SQL Database. You will develop complete expertise in creating and configuring an optimized Azure SQL Database, creating and deploying database projects using GitHub Actions and Azure Pipelines, and advanced automation of the publishing process.
You will also discover how to effectively leverage the Data API builder for Azure SQL Database and how to develop a high-performance Data API with Azure Web Apps and Static Web Apps. Additionally, you will acquire the strategic skills necessary to import data via external REST endpoints, export data using Azure Functions, and robustly secure an Azure SQL Database.
These essential skills will enable you to efficiently develop and manage modern applications with Azure SQL Database, ensuring optimal performance and enhanced security.
Azure Database for PostgreSQL is a high-performance PaaS database service available in the Microsoft cloud. It builds on the open-source PostgreSQL relational database and integrates native high availability, automatic backup and restore, as well as advanced security features. The pay-as-you-go pricing model provides predictable performance and near-instant scaling.
In this comprehensive learning path, you will master the key features of PostgreSQL and their optimized implementation in Azure Database for PostgreSQL. You will explore the different implementation options for Azure Database for PostgreSQL and learn to configure a server tailored to your specific business needs.
This comprehensive training enables data professionals to master lakehouse implementation with Microsoft Fabric. Participants will learn to design, deploy, and manage modern lakehouse solutions, combining the advantages of data lakes and data warehouses. The course covers setting up data pipelines, storage optimization, analytics tool integration, and best practices for ensuring data governance and quality in a Microsoft Fabric environment.
Master the complete data science process and discover how to perform advanced Machine Learning model training to accomplish artificial intelligence in Microsoft Fabric. This comprehensive training enables you to develop complete expertise in leveraging Microsoft Fabric’s data science capabilities, including data exploration and preparation, implementation of sophisticated machine learning algorithms, and creation of high-performance AI solutions to solve complex business problems. Explore modern data science techniques, optimize your ML models, and transform your data into actionable predictive insights for strategic decision-making.
This comprehensive training enables data professionals to master data analytics implementation with Azure Databricks. Participants will learn to design, develop, and optimize large-scale data analytics pipelines, using Databricks’ advanced features for data processing and transformation. The course also covers best practices for data engineering, performance optimization, and implementing robust analytical solutions in an Azure cloud environment.
This one-day instructor-led course aims to provide learners with instruction on dedicated and serverless SQL pools and Spark pools. It also covers data wrangling and the ELT process with Synapse pipelines, a process very similar to Azure Data Factory (ADF) for moving data into the Synapse dedicated pool database.
This comprehensive training enables data professionals to master Machine Learning implementation with Azure Databricks. Participants will learn to develop, deploy, and manage ML models using Databricks’ advanced features, including MLflow for experiment tracking and model management. The course also covers ML workflow optimization, training pipeline automation, and best practices for large-scale model deployment in an enterprise environment.
This course teaches developers how to use the Azure Cosmos DB for NoSQL API and Software Development Kit (SDK). Students will learn about query execution, resource configuration, SDK operations, and design strategies for modeling non-relational data and data partitioning.
This comprehensive training enables data analysts and BI professionals to master the development of dynamic reports with Microsoft Power BI. Participants will learn to create advanced interactive visualizations, implement complex DAX calculations, and design responsive reports optimized for various devices. The course also covers best practices for data modeling, integration of diverse data sources, and report performance optimization for effective data-driven decision making.
Unleash the power of data management and analysis with our CompTIA DataSys+ training.
In this comprehensive program, you will dive into the world of data systems and learn how to design, implement, and optimize data solutions that drive business success. Whether you are an IT professional looking to expand your skills or a data enthusiast eager to enter the field, this course will provide you with the knowledge and hands-on experience needed to excel in the dynamic world of data management. From understanding data life cycles to mastering data security and compliance, our expert instructors will guide you through fundamental concepts and practical skills essential for a successful career in data systems. Join us and become a proficient data professional, capable of harnessing the full potential of data for organizations of all sizes.
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