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Data News — Week 23.14

Christophe Blefari

At the same time Maxime Beauchemin wrote a post about Entity-Centric data modeling. If you want to go deeper to me Dozer looks like Materialize or Popsink but with a different vision, offering more an API as a serving layer than a database. In their demo you can use prompt to search over images or timeseries. seed round.

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Data News — Week 13.14

Christophe Blefari

At the same time Maxime Beauchemin wrote a post about Entity-Centric data modeling. If you want to go deeper to me Dozer looks like Materialize or Popsink but with a different vision, offering more an API as a serving layer than a database. In their demo you can use prompt to search over images or timeseries. seed round.

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Data Engineering Weekly #137

Data Engineering Weekly

Editors Note: 🔥 DEW is thrilled to announce a developer-centric Data Eng & AI conference in the tech hub of Bengaluru, India, on October 12th! link] Sven Balnojan: Explain like I’m 5 — Vector Database Hype Of all the LLM hype, I'm very excited about the emergence of vector databases.

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The Just-In-Time Revolution for Data-Driven Enterprises

The Modern Data Company

Here’s a breakdown of their key components: Data Source: Defines the raw data used to build the Data Product, including internal databases, external feeds, or sensor data. Schedule a demo PDF VERSION The post The Just-In-Time Revolution for Data-Driven Enterprises appeared first on TheModernDataCompany.

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Data Quality: The Missing Link in Your Cloud Data Migration

phData: Data Engineering

Data modernization is an umbrella term for the many ways businesses upgrade their data infrastructure, typically with cloud-centric solutions like the Snowflake Data Cloud. The cloud also democratizes access to data, whereas on-premises databases tend to restrict access and create silos.

Cloud 52
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Experts Share the 5 Pillars Transforming Data & AI in 2024

Monte Carlo

RAG involves integrating a real-time database into the LLM’s response generation process, while fine-tuning trains models on targeted datasets to improve domain-specific responses. That implies working with new patterns like vector databases.” She describes attending a demo of a prototype in the co-generation programming space.

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Accenture’s Smart Data Transition Toolkit Now Available for Cloudera Data Platform

Cloudera

The client decided to migrate away from their relational database-centric Enterprise Data Warehouse as an ingestion and data processing platform after the maintenance costs, limited flexibility, and growth of the RDBMS platform became unsustainable with the increased complexity of the client’s data footprint. Demo Video.