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

The Modern Data Company

Each Data Product is designed for a specific purpose, equipped with the necessary data, transformations, and metadata. Data Products simplify access and processing, empowering faster decision-making. Democratized Data Access: Empower business users with self-service access to relevant data insights, fostering a data-driven culture.

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Experts Share the 5 Pillars Transforming Data & AI in 2024

Monte Carlo

As the machine became smarter with the next generation of data access, we flattened everything to features and columns. 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. RAG workflow.

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

Cloudera

It has a consistent framework that secures and provides governance for all data and metadata on private clouds, multiple public clouds, or hybrid clouds. The data from your existing data warehouse is migrated to the storage option you choose, and all the metadata is migrated into SDX (Shared Data Experiences) layer of Cloudera Data Platform.

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Journey to Event Driven – Part 4: Four Pillars of Event Streaming Microservices

Confluent

Storing events in a stream and connecting streams via stream processors provide a generic, data-centric, distributed application runtime that you can use to build ETL, event streaming applications, applications for recording metrics and anything else that has a real-time data requirement. Payment processing is an interesting problem.

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