Glossary of Terms
Below is a table containing glossary of terms used in this documentation.
| Term | Definition |
|---|---|
| TaglessCRM | TaglessCRM. |
| Cloud Composer | A fully managed workflow orchestration service built on Apache Airflow. |
| Airflow | Apache Airflow is an open-source workflow management platform. |
| Airflow DAG | In Airflow, a DAG -- or a Directed Acyclic Graph -- is a collection of all the tasks you want to run, organized in a way that reflects their relationships and dependencies. A DAG is defined in a Python script, which represents the DAGs structure (tasks and their dependencies) as code. |
| Airflow Operator | An operator describes a single task in a workflow. |
| Airflow Hook | Hooks are interfaces to external platforms and databases like Hive, S3, MySQL, Postgres, HDFS, and Pig. Hooks implement a common interface when possible, and act as a building block for operators. |
| Google Ads | Google Ads is an online advertising platform developed by Google, where advertisers bid to display brief advertisements, service offerings, product listings, or videos to web users. It can place ads both in the results of search engines like Google Search and on non-search websites, mobile apps, and videos |
| Google Analytics | Google Analytics is a web analytics service offered by Google that tracks and reports website traffic, currently as a platform inside the Google Marketing Platform brand. |
| Campaign Manager | Campaign Manager 360 is a web-based ad management system for advertisers and agencies. It helps you manage your digital campaigns across websites and mobile. This includes a robust set of features for ad serving, targeting, verification, and reporting. |
| BigQuery | BigQuery is a fully-managed, serverless data warehouse that enables scalable analysis over petabytes of data. |
| Cloud Storage | Cloud Storage has an ever-growing list of storage bucket locations where you can store your data with multiple automatic redundancy options. |