50 Hours
Comprehensive training covering Azure Data Factory, Azure Synapse Analytics, Azure Stream Analytics, Azure Event Hubs, Azure Data Lake Storage, Azure Databricks
50 Hours
Comprehensive training on Lakehouses, Data warehouses, Notebooks, Dataflows, Data pipelines, Semantic models, Reports
55 Hours
Comprehensive training on Design data processing systems, Ingest and process the data, Store the data, Prepare and use data for analysis, Maintain and automate data workloads
60 Hours
Comprehensive training on Virtual networks, Storage, Compute, Identity, Security, Governance
60 Hours
Subject matter expertise in designing cloud and hybrid solutions that run on Azure, including: Compute, Network, Storage, Monitoring, Security
55 Hours
Comprehensive training on code, infrastructure, source control, security, compliance, testing, delivery, monitoring, and feedback.
50 Hours
Cleaning and transforming data, Designing and building enterprise data models, Incorporating advanced analytics capabilities.
60 Hours
Subject matter expertise in manages on-premises and cloud databases built with SQL Server and Azure SQL services: SQL Server on-premises, Azure SQL services
26 Hours
Comprehensive training covering Infrastructure management, Database management, Software development, Describe Azure architectural components and Azure services - Compute, Networking, Storage
30 Hours
Exploring data transformation with Google Cloud, Google Cloud artificial intelligence, Modernizing infrastructure and applications with Google Cloud, Trust and security with Google Cloud, Scaling with Google Cloud operations
25 Hours
Comprehensive training on Basic cloud concepts, Client-server applications. Opportunity for you to demonstrate knowledge of machine learning and AI concepts and related Microsoft Azure services.
24 Hours
Aspire to understand how Microsoft Power Platform technologies can be used to: Improve processes, Help drive business outcomes.
70 Hours
Comprehensive training covering relational and non-relational data, Different types of data workloads such as transactional or analytical.
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