Learn various ways to upload data to Data Lake Storage Gen 2. Upload data through the Azure portal, Azure Storage Explorer, or .NET. Or copy the data in Azure Data Factory.

Get to know relational databases and learn SQL, the standard language used in business software that will allow you to query them and extract the information you need.

Working with Information Technology (IT) without the necessary background? Learn the fundamentals of software programming

This course will teach you the skills required to monitor and audit Power BI so that you can find the answer you're searching for.

Azure Databricks is built on Apache Spark and enables data engineers and analysts to run Spark jobs to transform, analyze and visualize data at scale.

With Azure Synapse serverless SQL pool, you can leverage your SQL skills to explore and analyze data in files, without the need to load the data into a relational database.

By using a serverless SQL pool in Azure Synapse Analytics, you can use the ubiquitous SQL language to transform data in files in a data lake.

Delta Lake is an open source relational storage area for Spark that you can use to implement a data lakehouse architecture in Azure Synapse Analytics.

Apache Spark provides data engineers with a scalable, distributed data processing platform, which can be integrated into an Azure Synapse Analytics pipeline.

Azure Databricks provides SQL Warehouses that enable data analysts to work with data using familiar relational SQL queries.

System information is known as metadata and is stored in system catalogs in Azure Database for PostgreSQL. In addition to directly accessing system catalogs, you can access system views.

The objective of this course is to help your SQL Server-based applications to run at rapid speed to by taking advantages of In-Memory OLTP Technologies - Memory-optimized Tables and Native Stored Procedures.