Data_Engineering_Part6

HTTP GET

Used to request data from a specified resource.

Publish

To make changes effective in the environment after modifications.

Workspace Settings

Configurations pertaining to the environment and Spark settings used in the workspace.

Spark compute

Refers to the resources allocated for running Spark jobs in an environment.

Environment

A configurable area within Microsoft Fabric where resources and settings are defined.

Library

A collection of pre-compiled code that can be utilized by Spark jobs.

API

Application Programming Interface which allows different software applications to communicate.

Migration

The process of moving data or configurations from one system to another.

Notebook

An interactive environment for coding and data analysis that supports code execution.

Spark properties

Settings that configure Spark’s runtime behavior.

Azure Data Lake Storage (ADLS) Gen2

A storage solution that allows data to be stored and accessed in a hierarchical file system.

Docker containers

Lightweight, standalone, executable packages that contain everything needed to run a piece of software.

GraphQL

A query language for APIs that allows clients to request specific data.

Publishing

The act of making the current state of an environment available after changes.

Schema explorer

A tool used to visualize the schema of a GraphQL API's data.

Dev container

A pre-defined Docker container that standardizes development environments across systems.

Custom libraries

User-defined libraries uploaded for specific Spark job use.

Source Code

The human-readable instructions for a program, written in a programming language.

APIs for GraphQL

Interfaces provided to allow data retrieval and mutation through GraphQL.

Data Engineering

A discipline that focuses on transforming data to enable analytics and improve business outcomes.