Session: BigQuery at Scale: Cost, Access, and What's Coming Next
Session
In this closing panel session, three working practitioners will get into the realities of running BigQuery at scale. We'll cover cost surprises and where teams are getting the bill wrong, access management as BigQuery becomes more accessible to non-technical users and AI workloads, and where the platform is going next.
Co speakers
Conference topics
conference-speakerconferenceSpeakerGet every conference speaker signal for Northwell Health and the companies you sell to, in the tools you already use.
Connect Autobound to Claude, Claude Code or Cursor with MCP. Then ask: “What changed at Northwell Health this week?”
The Signal API returns conference speaker signals for any list of companies as JSON, for your CRM, warehouse or app.
Sign up and spend your free credits on the companies you sell to.
This page shows a preview. The full conference-speaker record in the Signal API and MCP can also have these 19 fields. Some fields are empty for some signals.
Contact
full_nameValue in the APIjob_titleValue in the APIlinkedin_urlValue in the APIemailValue in the APIfirst_nameValue in the APIlast_nameValue in the APIcityValue in the APIstateValue in the APIcountryValue in the APIseniorityValue in the APICompany
linkedin_urlValue in the APIindustriesValue in the APIemployee_count_lowValue in the APIemployee_count_highValue in the APIrevenueValue in the APIdescriptionValue in the APISignal
signal_nameValue in the APIassociationValue in the APIAnd 1 more fields.
GET /v1/signals/cb436536-1666-5209-bf01-a89cc97dcbd3 returns this record as JSON. POST /v1/companies/enrich returns every signal for northwell.edu.
{
"signal_id": "cb436536-1666-5209-bf01-a89cc97dcbd3",
"signal_type": "conference-speaker",
"signal_subtype": "conferenceSpeaker",
"detected_at": "2026-05-31T00:00:00+00:00",
"company": {
"name": "Northwell Health",
"domain": "northwell.edu"
},
"data": {
"summary": "Matt Dixon (Director, Data Platform, Northwell Health) at BigQuery Day.",
"relevance": 0.63,
"confidence": "high",
"co_speakers": [
{
"name": "Axel Thevenot",
"title": "Google Developer Expert & Head of Data & Analytics Engineering",
"company": "Astrafy",
"company_domain": "astrafy.io"
},
{
"name": "Sayle Matthews",
"title": "The BigQuery Dude and Sr. Cloud Architect",
"company": "DoiT",
"company_domain": "doityourself.com"
}
],
"session_type": "panel",
"session_title": "BigQuery at Scale: Cost, Access, and What's Coming Next",
"conference_url": "https://www.eon.io/virtual-event/bigquery-day",
"conference_date": "2026-05-19",
"conference_name": "BigQuery Day",
"contact_resolved": false,
"conference_topics": [
"BigQuery",
"data engineering",
"FinOps",
"data governance",
"AI",
"data platform performance",
"backup and recovery",
"analytics"
],
"domain_match_score": 10,
"conference_end_date": "2026-05-19",
"conference_location": "Virtual",
"session_description": "In this closing panel session, three working practitioners will get into the realities of running BigQuery at scale. We'll cover cost surprises and where teams are getting the bill wrong, access management as BigQuery becomes more accessible to non-technical users and AI workloads, and where the platform is going next.",
"conference_description": "BigQuery Day was a one-day virtual event for teams running BigQuery in production, focused on operating BigQuery at scale. Sessions covered cost control, performance, governance, BigQuery AI, and backup and recovery practices.",
"domain_match_confidence": "high",
"conference_estimated_size": "unknown"
}
}
curl https://signals.autobound.ai/v1/signals/cb436536-1666-5209-bf01-a89cc97dcbd3 \
-H "X-API-KEY: $AUTOBOUND_API_KEY"curl -X POST https://signals.autobound.ai/v1/companies/enrich \
-H "X-API-KEY: $AUTOBOUND_API_KEY" \
-H "Content-Type: application/json" \
-d '{"domain":"northwell.edu","limit":20}'Long text fields are shortened on this page.
Looking up one signal by its id is free. Enrich costs 2 credits per signal returned; a call with no results is free.