The engineer's guide to low code/no code ELT tools

[ThaliaBarrera]

Address misconceptions and showcase the benefits of low code/no code tools.

[adejumoridwan]

Hi @ThaliaBarrera I would love to write on this topic, could you please assign it to me. Here is my medium profile, you can see some of my works here: https://medium.com/@adejumo999.

Here is a draft of my outline, I am willing to work on it if you give me the go-ahead.
I. Introduction to Low Code/No Code ELT Tools
A. Definition of Low Code/No Code Development
B. Emergence of Low Code/No Code ELT Tools
C. Benefits of Low-Code/No-Code ELT Tools for Engineers

II. Understanding the ELT Process
A. Overview of Extract, Load, and Transform (ELT)
B. Importance of ELT in Data Engineering
C. Limitations of Traditional ELT Approaches

III. Low-Code/No Code ELT Tools
A. Popular Low Code/No Code ELT Tools
1. Fivetran
2. Airbyte
3. Xplenty
4. Stitch
5. Matillion
B. Key Features of Low Code/No Code ELT Tools
1. Connector Marketplace
2. Drag-and-Drop Interfaces
3. Scheduled Automations
4. Data Transformation Capabilities
5. Monitoring and Alerting

IV. Evaluating Low Code/No Code ELT Tools
A. Factors to Consider
1. Supported Data Sources and Destinations
2. Data Transformation Capabilities
3. Scalability and Performance
4. Security and Compliance
5. Pricing and Total Cost of Ownership
B. Comparison of Top Low Code/No Code ELT Tools
C. Criteria for Selecting the Right Tool

V. Implementing Low Code/No Code ELT Tools
A. Planning the ELT Pipeline
B. Configuring Data Source and Destination Connections
C. Designing Data Transformation Workflows
D. Scheduling and Automating ELT Processes
E. Monitoring and Maintaining the ELT Pipeline

VI. Best Practices for Low Code/No Code ELT
A. Ensuring Data Quality and Integrity
B. Handling Data Governance and Compliance
C. Integrating Low Code/No Code ELT with Existing Systems
D. Scaling and Optimizing ELT Workflows
E. Continuous Improvement and Troubleshooting

VII. Future of Low Code/No Code ELT
A. Emerging Trends and Innovations
B. Implications for Data Engineering Roles
C. Potential Challenges and Limitations

VIII. Conclusion
A. Summary of Key Takeaways
B. Final Thoughts and Recommendations

Thanks, hope to hear from you soon.

[adejumoridwan]

Hi @ThaliaBarrera here is a link to the article draft https://docs.google.com/document/d/1pxzYhQCk07BvJbIuDuzAoA0UxKZYV9jkZ29-P9bsiYs/edit?usp=sharing.

Thanks.