The hottest Data Operations Substack posts right now

And their main takeaways
Category
Top Technology Topics

Why Alerting is Key for enabling Generative AI and Machine Learning

The Orchestra Data Leadership Newsletter • 79 implied HN points • 23 Apr 24
🕹 Technology Data Operations AI Data Quality Data Pipelines
  1. Alerting and governance are crucial for the success of Data and AI initiatives, as highlighted by the high failure rates of AI projects and Data Science projects not making it to production.
  2. Building trust between Data Teams and Business Stakeholders is essential, and alerting plays a key role in this by ensuring effective communication and collaboration during data pipeline failures.
  3. Effective alerting systems should be proactive, asset-based, and granular, allowing for quick detection and communication of issues to build trust and reliability in Data and AI products.

Life After Orchestrators

Data People Etc. • 142 implied HN points • 06 Apr 23
🕹 Technology Data Operations Data Orchestration
  1. Orchestrators can be time killers in data operations, focusing on managing tasks rather than letting data drive operations.
  2. Legacy needs drove the creation of orchestrators to manage complex logic dependencies in data operations.
  3. Post-orchestrator approaches like high-frequency batches and asynchronous processing are gaining popularity for more efficient data operations.

What is open-source workflow orchestration and when should you move on?

The Orchestra Data Leadership Newsletter • 0 implied HN points • 23 Oct 23
🕹 Technology Data Engineering Workflow Orchestration Open Source Data Operations Data science
  1. Open-source workflow orchestration tools like Apache Airflow have been around for a long time and offer flexibility in developing, scheduling, and monitoring batch-oriented workflows.
  2. Specialized tools are emerging for data operations to improve quality, moving away from the Swiss Army Knife approach of general-purpose orchestration tools.
  3. When considering upgrading from open-source orchestration tools, evaluate if the tool effectively handles monitoring, metadata gathering, and other complex data operation needs; specialized tools may be more suitable in such cases.

Data Leadership #4 knowing when to rip out your infrastructure

The Orchestra Data Leadership Newsletter • 0 implied HN points • 15 Oct 23
🕹 Technology Data Operations Cloud Computing Business Intelligence Data architecture
  1. Knowing when to shift left on security is crucial to preventing data breaches and maintaining a secure network infrastructure.
  2. Re-evaluating the usefulness and uptake of self-service analytics tools can help in optimizing resources and avoiding unnecessary costs.
  3. Carefully analyzing cloud warehouse costs and data movement can lead to cost savings and efficient data management.
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