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Data Pipeline Architecture Explained: 6 Diagrams and Best Practices

Monte Carlo

In this post, we will help you quickly level up your overall knowledge of data pipeline architecture by reviewing: Table of Contents What is data pipeline architecture? Why is data pipeline architecture important? What is data pipeline architecture? Why is data pipeline architecture important?

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Data Engineering Weekly #162

Data Engineering Weekly

Pradheep Arjunan - Shared insights on AZ's journey from on-prem to the cloud data warehouses. Google: Croissant- a metadata format for ML-ready datasets Google Research introduced Croissant, a new metadata format designed to make datasets ML-ready by standardizing the format, facilitating easier use in machine learning projects.

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Rise of the MLOps Engineer And 4 Critical ML Model Monitoring Techniques  

Monte Carlo

It is the job of the MLOps engineer to ensure the model performs as well in the real world as it does in the lab, which requires some data science knowledge alongside strong engineering and orchestration skills. That is what JetBlue did as described by data scientist Derrick Olson in a recent Snowflake webinar.

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Data Engineering Weekly #110

Data Engineering Weekly

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. link] Barr Moses: What’s Next for Data Engineering in 2023?

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Re-Imagining Data Observability

Databand.ai

Data observability provides an end-to-end view into exactly what’s happening with data pipelines across an organization’s data fabric. In a recent webinar with IBM, we dug into why data observability is so important, what’s needed for data observability, and how Databand can help.

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Real-time AI: Live Recommendations Using Confluent and Rockset

Rockset

Traditional approaches rely upon cascading batch-oriented data pipelines, meaning data takes hours or even days to flow through the enterprise. As a result, data made available is stale and of low fidelity. We aim to coherently feed these diverse inputs into a model with low latency and without a complex architecture.

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Data Engineering Weekly #104

Data Engineering Weekly

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. Does Data Catalogs live up to the promise?