Access to source system raw layer

Data analysts should have access to the raw data layer for several important reasons:

1. 

Data Integrity & Transparency

Access to raw data allows analysts to verify the accuracy and completeness of processed or transformed data. It provides transparency into how data has been cleaned, aggregated, or filtered, which helps identify potential issues in upstream transformations.

2. 

Flexibility in Analysis

The raw layer provides full granularity, enabling analysts to explore data in ways that might not be possible with curated layers. This is crucial when:

• Investigating anomalies
• Building custom reports
• Performing exploratory or ad hoc analysis

3. 

Root Cause Analysis

When data issues arise, analysts often need to trace the data lineage back to its origin. Raw data access enables them to perform root cause analysis without relying entirely on data engineers.

4. 

Creating Custom Logic

Standard transformations might not meet every analytical need. Analysts might need to apply custom logic or business rules not captured in the semantic layer or data marts.

5. 

Speed & Agility

Waiting for engineering teams to expose new data points or fix curated datasets can delay insights. Direct access to raw data allows analysts to move faster, especially in fast-paced or data-driven environments.

Caveat:

While access to raw data is valuable, it should be governed properly:

• With read-only permissions
• Clear documentation
• Training to ensure responsible use

Would you like this rephrased for a presentation or documentation purpose?

From Blogger iPhone client

Asana integration azure devops

Yes, you can integrate Asana with Azure DevOps (ADO) to synchronize tasks, work items, and project data across both platforms. This integration is particularly beneficial for aligning non-technical teams (using Asana) with development teams (using ADO), ensuring seamless collaboration and real-time updates.

🔄 Integration Options

1. 

Unito – Two-Way Sync (No-Code)

Unito offers a robust, no-code integration that enables real-time, two-way synchronization between Asana tasks and Azure DevOps work items. Key features include:

• Live Sync: Automatic updates between Asana and ADO. 
• Custom Rules: Define specific conditions for syncing tasks or work items. 
• Field Mapping: Map fields such as titles, descriptions, assignees, tags, attachments, comments, dates, statuses, priorities, URLs, and custom fields between platforms. 
• Historical Data Sync: Option to sync existing data between tools. 
• Enterprise Security: SOC 2 Type 2 certified with strict security measures. 

To set up the integration:

1. Sign Up: Create an account on Unito. 
2. Connect Tools: Authorize Unito to access your Asana and Azure DevOps accounts. 
3. Configure Flow: Set the direction of data flow (one-way or two-way), define rules, and map fields. 
4. Launch: Activate the integration to start syncing data. 

For a visual guide on setting up this integration, you can watch the following tutorial:

2. 

Zapier – Trigger-Based Automation

Zapier provides a flexible, no-code solution to automate workflows between Asana and Azure DevOps. With Zapier, you can:

• Create Asana Tasks from ADO Work Items: Automatically generate tasks in Asana when new work items are created in Azure DevOps. 
• Update Asana Tasks Based on ADO Changes: Reflect updates made in Azure DevOps within corresponding Asana tasks.
• Map Specific Projects: Link particular Asana projects with corresponding Azure DevOps projects. 

Note that while Zapier supports many triggers and actions, syncing comments between Asana and Azure DevOps is not currently supported.

3. 

Getint – Advanced Integration Platform

Getint offers a comprehensive integration solution with features such as:

• Field Synchronization: Sync fields including titles, descriptions, assignees, tags, sub-tasks, attachments, comments, dates, statuses, priorities, URLs, and custom fields. 
• Advanced Filtering: Implement complex rules to control data flow between platforms. 
• Deployment Options: Choose between SaaS or on-premise deployment to suit your organization’s needs. 
• Custom Development: Access to custom development and consulting services for tailored integration solutions. 

✅ Choosing the Right Integration Tool

Tool

Best For

Key Features

Unito

Real-time, two-way sync without coding

Live sync, custom rules, field mapping, historical data sync

Zapier

Simple, trigger-based automation

Task creation, project mapping, status updates

Getint

Advanced, customizable integrations

Comprehensive field sync, advanced filtering, deployment flexibility

Yes, you can use Power Automate to synchronize between Asana and Azure DevOps, but with some important caveats:

What’s Natively Supported in Power Automate?

1. Asana Connector

Power Automate includes a built-in connector for Asana, allowing you to:

• Trigger flows when:
• A task is created
• A task is completed
• Perform actions like:
• Create task
• Update task
• Add comment
• Assign users

2. Azure DevOps Connector

There’s also a native Azure DevOps connector, which lets you:

• Trigger flows when:
• A work item is created or updated
• 
  
• Perform actions like:
• Create work item
• Update work item
• Query work items

Possible Integration Scenarios

Asana → Azure DevOps

Azure DevOps → Asana

Create a work item in ADO when a task is added in Asana

Create a task in Asana when a work item is added in ADO

Update ADO when task is completed

Mark Asana task complete when ADO item is closed

Sync comments or notes (complex)

Sync state or metadata (custom fields, tags, etc.)

Limitations to Watch For

• No native 2-way sync: Power Automate is trigger-based, so you have to manually build both directions.
• Rate limits: Asana’s and ADO’s APIs have limits which could slow down bulk syncing.
• Comment syncing: Not natively supported—would require use of custom HTTP actions.
• Field mapping: You’ll need to manually map fields between both systems, especially for custom fields.

Pro Tip: Use HTTP Actions for More Control

If you’re comfortable with APIs, you can:

• Use Asana’s REST API via HTTP action in Power Automate to fetch or push more detailed data.
• Do the same for Azure DevOps REST API to access features not covered by the native connector.

Bottom Line

Power Automate can definitely be used to build a synchronization pipeline between Asana and Azure DevOps, especially for basic use cases. For a richer, real-time, and bidirectional sync, consider a third-party tool like Unito or Getint, or build a custom integration using Azure Functions or Logic Apps.

Would you like a sample Power Automate flow template to sync Asana → Azure DevOps?

From Blogger iPhone client

Downloading, Connecting and publishing Videos from DJI Neo

 

To safely remove content from your DJI Neo (likely referring to the DJI Osmo Pocket 3 or similar DJI camera), here’s a clean and risk-free process:

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✅ Option 1: Using a microSD Card Reader (Safest & Fastest)

1. Power off your DJI Neo.

2. Remove the microSD card from the camera.

3. Insert it into a microSD card reader connected to your PC/Mac.

4. Open the file explorer and back up your videos/photos.

5. Once safely copied, format the card:

   • Either using your computer (FAT32 or exFAT format).

   • Or inside the DJI Neo’s settings (recommended for camera compatibility).

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✅ Option 2: Using USB-C Cable to Connect Directly

1. Power on the DJI Neo and connect via USB-C to your computer.

2. It should show up as a mass storage device or allow access via DJI Mimo.

3. Open folders and copy all media to your computer.

4. After ensuring successful backup, you can:

   • Delete files manually, or

   • Format the SD card via camera settings (again, recommended for stability).

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✅ Option 3: Via DJI Mimo App (Limited control)

1. Connect DJI Neo to your smartphone using the appropriate cable or wireless.

2. Open the DJI Mimo app.

3. Browse, download, or delete files directly from the app.

   • Note: This can be slower, and full-resolution files may not transfer depending on the mode.

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⚠️ Tips to Keep It Safe

• Always eject safely (on PC or phone) before unplugging.

• Never remove SD card while camera is powered on.

• Format in-camera for best SD card performance and to prevent file system issues.

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If you're dealing with space issues or want help organizing backups automatically, I can suggest some workflows or tools too. Let me know what device or system you're using (Windows, Mac, Android, etc.).

Connectivity Issues

If your USB-C cable isn't showing video when connecting your DJI Neo (assuming you mean the DJI Osmo Pocket 3 or a DJI camera that uses the "Neo" connection system), here are a few things to check:

🔌 1. Cable Type Matters

Not all USB-C cables support video output (DisplayPort Alt Mode). Many are charging/data-only cables. To show video:

• You need a USB-C cable that supports video output.

• Look for cables labeled as "USB-C 3.1 Gen 2" or "Thunderbolt 3/4".

📱 2. Device Compatibility

• Make sure your phone, tablet, or display supports USB-C video input/output.

• Some phones (especially older or budget models) don’t support DisplayPort Alt Mode.

📷 3. DJI Device Mode

• On DJI devices like Osmo Pocket 3 or DJI Action, the camera might need to be in a specific mode to output video over USB-C.

• Try powering it on before or after connecting the cable to see if there's a difference.

🧪 4. Try These Troubleshooting Steps

• Use a different USB-C cable (with video support).

• Try a different device (phone, tablet, or monitor).

• Update the firmware of your DJI device using the DJI Mimo app.

• Check for a DJI accessory (like the official USB-C to HDMI accessory if needed).