Google BigQuery - Heart of Smart Analytics toolset on Google Cloud

Analytics teams need scale without losing flexibility or control. The session will also cover different ways to ingest data into BigQuery and best practices, and will conclude with a live demo of the BigQuery console and a showcase of a petabyte demo. In "Google BigQuery - Heart of Smart Analytics toolset on Google Cloud", Vijaykumar Jangamashetti makes the problem concrete by showing how BigQuery supports ingestion, ML, and petabyte-scale analysis on Google Cloud.

Session details

This session will provide insights about Google BigQuery, a fully-managed, petabyte-scale analytics data warehouse that has been continuously innovating for over a decade. The session will discuss how BigQuery can help organizations drive limitless innovation with an open, unified, and intelligent data ecosystem by democratizing data insights, while gaining data cloud flexibility and predictability with BigQuery ML. The session will also cover different ways to ingest data into BigQuery and best practices, and will conclude with a live demo of the BigQuery console and a showcase of a petabyte demo.

Primary action

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Agenda facts

Format
Talk / Presentation
Kind
Conference Session
Topic
Artificial Intelligence and Machine Learning
Level
Intermediate
Time
Oct 29, 2026, 11:15 AM
Room
Room B
Duration
60 min

Speakers

Link partners to speaker kits when available, or to the public speaker profile on mitechcon.net.

Copy to paste

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LinkedIn

Session LinkedIn Post

Analytics teams need scale without losing flexibility or control. The session will also cover different ways to ingest data into BigQuery and best practices, and will conclude with a live demo of the BigQuery console and a showcase of a petabyte demo. In "Google BigQuery - Heart of Smart Analytics toolset on Google Cloud", Vijaykumar Jangamashetti makes the problem concrete by showing how BigQuery supports ingestion, ML, and petabyte-scale analysis on Google Cloud. 📅 October 28–30, 2026 📍 Oakland University, Rochester, MI 🔗 https://www.mitechcon.net/sessions/google-bigquery-heart-of-smart-analytics-toolset-on-google-cloud/?utm_source=partner-kit&utm_medium=partner&utm_campaign=mitechcon-2026&utm_content=session-google-bigquery-heart-of-smart-analytics-toolset-on-google-cloud #MITechCon #BigQuery #GoogleCloud #Analytics

MediumUpdated 2026-07-08
Short social

Short Session Post

Analytics teams need scale without losing flexibility or control. Learn how BigQuery supports ingestion, ML, and petabyte-scale analysis on Google Cloud. https://www.mitechcon.net/sessions/google-bigquery-heart-of-smart-analytics-toolset-on-google-cloud/?utm_source=partner-kit&utm_medium=partner&utm_campaign=mitechcon-2026&utm_content=session-google-bigquery-heart-of-smart-analytics-toolset-on-google-cloud #MITechCon #BigQuery

ShortUpdated 2026-07-08
Newsletter / email

Newsletter Or Email Blurb

Feature this MITechCon 2026 session in your newsletter or email: "Google BigQuery - Heart of Smart Analytics toolset on Google Cloud". Analytics teams need scale without losing flexibility or control. The session will also cover different ways to ingest data into BigQuery and best practices, and will conclude with a live demo of the BigQuery console and a showcase of a petabyte demo. In "Google BigQuery - Heart of Smart Analytics toolset on Google Cloud", Vijaykumar Jangamashetti makes the problem concrete by showing how BigQuery supports ingestion, ML, and petabyte-scale analysis on Google Cloud. Format: Conference Session. Topic: Artificial Intelligence and Machine Learning. Level: Intermediate. Scheduled for Oct 29, 2026, 11:15 AM in Room B. Learn more and share the session: https://www.mitechcon.net/sessions/google-bigquery-heart-of-smart-analytics-toolset-on-google-cloud/?utm_source=partner-kit&utm_medium=partner&utm_campaign=mitechcon-2026&utm_content=session-google-bigquery-heart-of-smart-analytics-toolset-on-google-cloud

MediumUpdated 2026-07-08

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Michigan technology communityAI and machine learning teamsData and product leaders

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#MITechCon#MITechCon2026#MichiganTech#AI