Michael Santos
ENPT

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01 · Current signal

What’s new with compute: Scaling core and agentic workloads

This matters because modern data teams are expected to simplify tooling, govern transformation, and deliver analytical products faster with less operational overhead.

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02 · Implementation proof

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What’s new with compute: Scaling core and agentic workloads
Cloud & AI

What’s new with compute: Scaling core and agentic workloads

This matters because modern data teams are expected to simplify tooling, govern transformation, and deliver analytical products faster with less operational overhead.

GC • Apr 22, 2026

GCPAnalytics EngineeringModern Data StackAI

What’s new with compute: Scaling core and agentic workloads

At Google Cloud Next, we’re announcing a range of compute capabilities to enable your core general purpose and AI workloads for the agentic world with higher performance and lower costs. Why it matters: IT leaders and...

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Topic cluster

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Implementation proofDirect match

GCP Modern Data Stack

A cloud-native analytics workflow that provisions BigQuery and storage with Terraform, ingests market data with Python, and tests warehouse models with dbt and GitHub Actions.

Analytics Engineering
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Implementation proofShared theme

Agentic Data Pipeline With MCP

A next-generation data pipeline where Claude-powered agents connected via Model Context Protocol autonomously detect schema changes, fix data quality issues, reroute failed load...

AI
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Implementation proofShared theme

Data Governance And Quality Framework

A production-grade framework that embeds data quality validation, contract enforcement, and governance checks into every layer of the data pipeline, from ingestion to mart deliv...

Analytics Engineering
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