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Reduce Friction In Your Business Analytics Through Entity Centric Data Modeling

Data Engineering Podcast

The major strategies in use today were created decades ago when the software and hardware for warehouse databases were far more constrained. In this episode Maxime Beauchemin of Airflow and Superset fame shares his vision for the entity-centric data model and how you can incorporate it into your own warehouse design.

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3 Use Cases for Generative AI Agents

DareData

At DareData Engineering, we believe in a human-centric approach, where AI agents work together with humans to achieve faster and more efficient results. At its core, RAG harnesses the power of large language models and vector databases to augment pre-trained models (such as GPT 3.5 ).

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Striim’s Dynamic Duo: A Powerful Partnership with Yugabyte Redefines Data Management

Striim

In this dynamic partnership, the fusion of Striim’s real-time data integration and streaming analytics capabilities with Yugabyte ‘s distributed SQL database, YugabyteDB, promises businesses unprecedented scalability, resilience, and global reach. “At Striim, we believe in the transformative potential of data.

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Data Engineering Weekly #161

Data Engineering Weekly

2) Why High-Quality Data Products Beats Complexity in Building LLM Apps - Ananth Packildurai I will walk through the evolution of model-centric to data-centric AI and how data products and DPLM (Data Product Lifecycle Management) systems are vital for an organization's system.

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How RPR Provides Top-Notch Geocoding Data with Precisely

Precisely

The National Association of REALTORS ® clearly understands this challenge, which is why it built RPR (Realtors Property Resource), the nation’s largest parcel-centric database, exclusively for REALTORS ®. To learn more about RPR and access its database for yourself, visit us online. While RPR can now offer high accuracy for U.S.

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Bringing Automation To Data Labeling For Machine Learning With Watchful

Data Engineering Podcast

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Just connect it to your database/data warehouse/data lakehouse/whatever you’re using and let them do the rest.

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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. I hope he will fill the gaps. When it comes to modeling it's hard not to mention dbt.