Data Analytics
Showing 157–168 of 298 results
Implement advanced data visualization techniques by using Power BI
This learning path takes analysts through visualizing data in Power BI. You'll learn about visuals in Power BI reports, using Power BI to visualize real-time data, and visualizing data in paginated reports. This learning path helps you prepare for the Azure Enterprise Data Analyst Certification.
Implement Azure Arc-enabled SQL Managed Instance in your hybrid environment
Learn how to work with Azure Arc enabled servers, data services and Kubernetes.
Implement Azure Synapse Link for SQL
Azure Synapse Link for SQL enables low-latency synchronization of operational data in a relational database to Azure Synapse Analytics.
Implement compliance controls for sensitive data
Explore data classification capabilities and degrees of confidentiality. Implement security options to maintain private data safe, including Azure SQL auditing, Microsoft Defender for SQL, row-level security, Dynamic Data Masking and Azure SQL Database Ledger.
Implement error handling with Transact-SQL
Transact-SQL is a powerful declarative language that lets you explore and manipulate your database. As the complexity of your programs increase, so does the risk of errors occurring.
Implement Real-Time Intelligence with Microsoft Fabric
In this learning path, the student is exposed to various ways to:
Implement row-level security
Row-level security (RLS) allows you to create a single or a set of reports that targets data for a specific user. In this module, you'll learn how to implement RLS by using either a static or dynamic method and how Microsoft Power BI simplifies testing RLS in Power BI Desktop and Power BI service.
Implement transactions with Transact-SQL
Learn how to construct transactions to control the behavior of multiple Transact-SQL statements. You'll learn how to determine whether an error has occurred, and when to roll back statements.
Ingest Data with Dataflows Gen2 in Microsoft Fabric
Data ingestion is crucial in analytics. Microsoft Fabric's Data Factory offers Dataflows for visually creating multi-step data ingestion and transformation using Power Query Online.
Ingest data with Microsoft Fabric
Explore how Microsoft Fabric enables you to ingest and orchestrate data from various sources (such as files, databases, or web services) through dataflows, notebooks, and pipelines.
Ingest data with Spark and Microsoft Fabric notebooks
Discover how to use Apache Spark and Python for data ingestion into a Microsoft Fabric lakehouse. Fabric notebooks provide a scalable and systematic solution.
Integrate Azure Synapse Analytics with Azure Data and AI services
Learn how Azure Synapse Analytics integrates with other Azure Data and AI services.