Your way out of the data labyrinth.
- Introduction to Meiro Integrations with list of integrations
- Glossary: what is what in Meiro Integrations
- Terms & conditions
- Meiro User Security Guidelines
- Technical Support
- User Interface
- User Interface Of Meiro Integrations
- Tab: DAWG
- Tab: DAWG Detail
- Tab: Workspaces
- Tab: Workspaces Detail
- Tab: Full-text search
- Tab: Monitoring
- Tab: Administration
- Tab: Trash
- Tab: User Settings
- Getting Started
- How data flow and components work
- How to set up a schedule
- Activity Details
- Configuration file
- Filter in components
- Folder Structure
- Workspace variables
- Quick tips
- Connector Adobe Analytics
- Connector AppsFlyer
- Connector AWS S3
- Connector Clockify
- Connector contactSPACE
- Connector Facebook Ads
- Connector Facebook
- Connector Google Gmail Attachments
- Connector Google Ads
- Connector Google Analytics
- Connector Google BigQuery
- Connector Google Cloud Storage OAuth2
- Connector Google Cloud Storage Service Account
- Connector Google Spreadsheet
- Connector HTTP
- Connector Instagram
- Connector Magento V2
- Connector Mailchimp
- Connector Microsoft Dynamics
- Connector MsSQL
- Connector MySQL
- Connector Optimizely
- Connector Postgres
- Connector Zoom
- Connector Doubleclick
- Connector Snowflake
- Connector Twitter
- Processor Command Line Interface Code
- Processor Create File
- Processor Postgres
- Processor Python 3 Code
- Processor Python from Git repository
- Processor R Code
- Processor R from Git repository
- Processor SQL on CSV
- Loader AWS S3
- Loader Exponea
- Loader Facebook Audience
- Loader Google BigQuery
- Loader Google Cloud Storage
- Loader Google Drive
- Loader Google Spreadsheet
- Loader Kafka
- Loader Mailchimp
- Loader MsSQL
- Loader MySQL
- Loader Pipedrive
- Loader Postgres
- Loader Redshift
- Loader Sendinblue
- Loader SFTP
- Loader Slack
- Loader Trade Desk
- Tutorial: Google Analytics connector
- Tutorial: How to create a workspace and data flow
- Tutorial: How to use the sandbox in the Postgres processor
- Tutorial: SQL on CSV processor sandbox
- Tutorial: how to configure Power BI to connect to PGSQL ran by Meiro
- Best Practices
- How to cooperate on the components with your team
- Multiple chained queries in SQL on CSV processor
- Naming conventions
- Working on a complex workspace
- How to clone a component/ workspace
- How to create a header in your file using Command Line Interface Code processor
- How to create an Access Key and Secret Access Key for AWS S3
- How to move files from one folder in configuration to another using Command Line Interface Code processor
- How to obtain credentials for Google Analytics
- How to search & replace within a code editor
- How to set up a Jupyter notebook sandbox on localhost
- How to set up SSH keys
- How to use Description field formatting
- Browsers we recommend
- Where can I find the File ID on Google Drive
- Where can I find the Sheet ID of Google Spreadsheet file
- What does "Continue on Failure" mean?
- What is the difference between a user and admin level of access
- What is the difference between /files and /tables folders
- What "No running Worker" in the fail logs mean?
- Why does my AWS S3 loader configuration not write anything in the bucket
Introduction to Meiro Integrations with list of integrations
Meiro means “Labyrinth” in Japanese. The logo of Meiro Integrations represents the data maze and signifies how Meiro Integrations safely guides you through the data.
What counts as a data source?
Everything that contains data can be a data source. This includes Social Media and Marketing platforms, ERP and CRM systems, on-premises DWH or cloud-based storage. Meiro Integrations also has built-in REST API and HTTP Connectors, which means you can inject data into it from literally anywhere.
List of available connectors
The Trade Desk
Xero Custom Reports
What can I use to process the data?
Meiro Integrations has a variety of processing tools that you can use to process your data. Choose Python, R, Command Line Interface Code, SQL or any other processor from the following list that suits your specific data transformation needs the best.
List of available processors
JSON to CSV
Setting as a file
Where can I load the data?
Meiro Integrations offers a wide selection of options for you to load your data based on your specific needs. You can choose to load your data into your preferred data warehouse or database, marketing tools like MailChimp or data analytics and business intelligence tools.
List of available loaders
Google Ads Audience
Do I need to install it?
Remember: Meiro Integrations is a single-page application which you can manage from the comfort of your browser. No installation is necessary.
Chromium: version 58 or newer
Google Chrome: version 58 or newer
Microsoft Edge: version 16 or newer
Mozilla Firefox: version 54 or newer
Safari: version 10.1 or newer
Glossary: what is what in Meiro Integrations
The terms used in Meiro Integrations and their meanings.
An overview of all configuration jobs that have been executed. You can view the activity of each configuration or you can view the activity of all your running configurations on your workspace.
Read more: about the activity details here.
A component is an implementation of a type of data activity in a workspace. For example, the Google Analytics connector is a component that extracts data from Google Analytics using its REST API.
Read more: about the components here.
A configuration is the concrete application of a component. After storing the component’s necessary credentials and running the programming scripts in the component’s configuration settings page, you will be able to either extract, process, or load the data.
Read more: about the configuration here.
This refers to when a configuration is executed. It has a finite life-cycle: a component is loaded with settings from the configuration and executed in Meiro Integrations.
Learn more: about activity details please refer to this article.
A type of component that extracts the data from a data source and makes it available for other components to use.
Refer: to user documentation to learn more about the components.
Continue on Failure
You can set any configuration in a workspace to Continue on Failure. The Continue on Failure feature permits the workspace to continue running even if one or more of its configurations encounter an error. When a configuration has an error in running, the user will be notified via the email address that they have saved in their workspace’s Schedule settings.
Read more: about the components here.
Data flow is the area in your workspace where you can view the components that you have created. You can organize your components and create a workflow with them by dragging the grey arrows (or edges as they are called) from one component to the other component that you want to load your data into.
Data In/ Out
The bucket Data In/ Out is a part of the configuration.
Data In refers to all the configurations that are passing data to the current configuration. It can have multiple filters - in default all files are loaded from the previous configuration ("*") and you can change it at any time.
Data Out shows the output of the configuration.
Learn more: about components from the user documentation.
Learn more: about folder structure.
DAWG Directed Acyclic Workspaces' Graph
DAWG is a graph of workspaces available under the DAWG tab.
Learn more: about DAWG please go to this article.
An instance refers to the location of your project on Meiro Integrations. A web link to your project’s instance would look like this: www.project_name.meiro.io. Each instance may consist of more than one workspace depending on the complexity and structure of the project.
A type of component that loads the data to the data destinations and delivers it.
Read more: about loaders here.
A type of component that processes or transforms the data: Command Line Interface, Python, R, SQL, Geocoding, etc.
Read more: about processors here.
Parameters are where you will be able to store the information required for a component to run. the information for the component - credentials, options, etc. Parameters are used by the configuration when it runs.
Read more: about the parameters here.
The Version History tab is where you can see all changes made to a workspace or a configuration. You will be able to see modifications made by every user and the time and date of each change. You can undo any change you like.
Read more: about workspace or configuration activity in this article.