Full Access Microsoft DP-900 Tutorials

A key mechanism that allows Azure Data Lake Storage Gen2 to provide file system performance at object storage scale and prices is the addition of a hierarchical namespace. This allows the collection of objects/files within an account to be organized into a hierarchy of directories and nested subdirectories in the same way that the file system on your computer is organized. With a hierarchical namespace enabled, a storage account becomes capable of providing the scalability and cost-effectiveness of object storage, with file system semantics that are familiar to analytics engines and frameworks.

Box 1: Image files

Azure Blob storage is suitable for image files.

Box 2:Key/value pairs

Azure CosmosDB table API is a key-value storage hosted in the cloud.

Box 3: Relationship between employees

One-to-many relationships between business domain objects occur frequently: for example, one department has many employees. There are several ways to implement one-to-many relationships in the Azure Table service.

An aggregate function performs a calculation on a set of values, and returns a single value. The following are aggregate functions:

APPROX_COUNT_DISTINCT

AVG

CHECKSUM_AGG

COUNT

COUNT_BIG

GROUPING

GROUPING_ID

MAX

MIN

STDEV

STDEVP

STRING_AGG

SUM

VAR

VARP

Azure Data Studio is a cross-platform database tool for data professionals who use on-premises and cloud data platforms on Windows, macOS, and Linux.

Azure Data Studio offers a modern editor experience with IntelliSense, code snippets, source control integration, and an integrated terminal.