AWS Machine Learning Blog

DECEMBER 4, 2024

This framework creates a central hub for feature management and governance with enterprise feature store capabilities, making it straightforward to observe the data lineage for each feature pipeline, monitor data quality , and reuse features across multiple models and teams.

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phData

FEBRUARY 5, 2024

Setting up the Information Architecture Setting up an information architecture during migration to Snowflake poses challenges due to the need to align existing data structures, types, and sources with Snowflake’s multi-cluster, multi-tier architecture.

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Pickl AI

DECEMBER 4, 2023

Data governance and security Like a fortress protecting its treasures, data governance, and security form the stronghold of practical Data Intelligence. Think of data governance as the rules and regulations governing the kingdom of information. It ensures data quality , integrity, and compliance.

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O'Reilly Media

NOVEMBER 19, 2024

What’s old becomes new again: Substitute the term “notebook” with “blackboard” and “graph-based agent” with “control shell” to return to the blackboard system architectures for AI from the 1970s–1980s. See the Hearsay-II project , BB1 , and lots of papers by Barbara Hayes-Roth and colleagues. Does GraphRAG improve results?

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Pickl AI

DECEMBER 9, 2024

Key challenges include data storage, processing speed, scalability, and security and compliance. What is the Role of Zookeeper in Big Data? Zookeeper coordinates distributed systems by managing configuration, synchronisation, and group services. How Do You Ensure Data Quality in a Big Data Project?

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Heartbeat

JANUARY 9, 2024

Deployment : The adapted LLM is integrated into this stage's planned application or system architecture. This includes establishing the appropriate infrastructure, creating communication APIs or interfaces, and assuring compatibility with current systems.

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The MLOps Blog

APRIL 17, 2023

This layer is where you encode the rules of the experiment tracking domain and determine how data is created, stored, and modified. You can have other clients, like integrations with a model registry, data quality monitoring components, etc. The front end is one of the clients for this layer.

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