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.

Learn how to use HTTP APIs to create, query, and manage IBM Cloudant databases. Master how to integrate Cloudant into your applications using RESTful APIs for seamless data access and management in the cloud.

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.

MongoDB is quickly becoming a ubiquitous alternative to traditional relational storage systems. This course will give you the knowledge necessary to get started with MongoDB in your ASP.NET MVC applications and .NET development.

Learn to use SQL for querying and analyzing data from databases.

Dive into the Cassandra Query Language (CQL) shell and learn how to execute keyspace operations. Understand how to define schemas, manage data models, and perform CRUD operations in Cassandra for NoSQL databases.