Remove Accessibility Remove Process Remove Structured Data
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Introducing the dbt MCP Server – Bringing Structured Data to AI Workflows and Agents

dbt Developer Hub

dbt is the standard for creating governed, trustworthy datasets on top of your structured data. We expect that over the coming years, structured data is going to become heavily integrated into AI workflows and that dbt will play a key role in building and provisioning this data. What is MCP?

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Building End-to-End Data Pipelines: From Data Ingestion to Analysis

KDnuggets

What Is a Data Pipeline? Before trying to understand how to deploy a data pipeline, you must understand what it is and why it is necessary. A data pipeline is a structured sequence of processing steps designed to transform raw data into a useful, analyzable format for business intelligence and decision-making.

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Modernizing XML Processing for Financial Services with Snowflake

Snowflake

Unlocking legacy and modern value with Snowflake With the recent introduction of native XML processing capabilities, Snowflake bridges the gap between legacy data formats and modern analytics needs — allowing financial institutions to unlock the full value of their XML data without sacrificing agility or scale.

Process 91
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Accelerate AI Development with Snowflake

Snowflake

Here’s how Snowflake Cortex AI and Snowflake ML are accelerating the delivery of trusted AI solutions for the most critical generative AI applications: Natural language processing (NLP) for data pipelines: Large language models (LLMs) have a transformative potential, but they often batch inference integration into pipelines, which can be cumbersome.

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Anthropic’s Claude 3.5 Sonnet now available in Snowflake Cortex AI

Snowflake

Customers can now access the most intelligent model in the Claude model family from Anthropic using familiar SQL, Python and REST API (coming soon) interfaces, within the Snowflake security perimeter. The unified AI and data platform makes it easy for many organizations to go from AI concept to reality within a few days.

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A Beginner’s Guide to Learning PySpark for Big Data Processing

ProjectPro

Begin Your Big Data Journey with ProjectPro's Project-Based Apache Spark Online Course ! PySpark is a handy tool for data scientists since it makes the process of converting prototype models into production-ready model workflows much more effortless. When it comes to data ingestion pipelines, PySpark has a lot of advantages.

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The Data Analysis Process | Lifecycle Of a Data Analytics Project

ProjectPro

This blog aims to give you an overview of the data analysis process with a real-world business use case. Table of Contents The Motivation Behind Data Analysis Process What is Data Analysis? What is the goal of the analysis phase of the data analysis process? What is Data Analysis?