|
By Nivedita Kumari
By combining speech-to-text with BigQuery's analytics capabilities, you can understand things like customer sentiment and recurring product issues.
|
By Mike Henderson
New BigQuery functions monitor skew between training and serving data, and monitor drift in serving data over time, all using SQL.
|
By Vaibhav Sethi
Support for model fine-tuning in BigQuery takes input text (the prompt) and the expected output, and teaches the model to mimic the behavior.
|
By Silvian Calman
You can now query Delta Lake tables stored in Cloud Storage or Amazon Web Services S3 directly from BigQuery, without exporting or copying the data.
|
By Vaibhav Sethi
BigQuery supports multimodal embedding generation via Vertex AI models, and for structured data with PCA, Autoencoder or Matrix Factorization models.
|
By Abhinav Khushraj
BigQuery data canvas improves data analytics with a natural language-driven experience for data discovery, preparation, querying, and visualization.
|
By Honglin Zheng
With Gemini 1.0 Pro Vision in BigQuery via Vertex AI, you can analyze images and videos by combining them with your own text prompts.
|
By Oliver Ratzesberger
We unified key data Google Cloud analytics capabilities under BigQuery, which becomes a single, unified, AI-ready data analytics platform.
|
By Deepak Dayama
Duet AI in BigQuery is now Gemini in BigQuery and includes new AI-powered assistive features to enhance productivity and optimize costs.
|
By Magda Gianola
Differential privacy enforcement with privacy budgeting in BigQuery data clean rooms prevents data from being reidentified when it’s shared.
|
By Google BigQuery
Unlock the power of your audio data! This video demonstrates how BigQuery's integration with Cloud Speech-to-Text lets you transform audio files – think customer calls, interviews, feedback – into structured text transcripts. Analyze this data at scale within your data warehouse, fueling smarter decisions and deeper customer understanding.
|
By Google BigQuery
Turn your documents into actionable data! This video explores the power of BigQuery's integration with Document AI. Learn how to transform unstructured documents – think invoices, contracts, forms – into neatly structured tables within your data warehouse, unlocking smarter insights using familiar SQL syntax.
|
By Google BigQuery
Discover the power of semantic search! With BigQuery's vector search capabilities, you can analyze unstructured data like text, images, and videos based on their underlying meaning. Explore how machine learning transforms your data into numerical representations called embeddings, making it possible to find connections that traditional keyword searches often miss.
|
By Google BigQuery
Experience the magic of Large Language Models (LLMs) like Gemini, applied to your BigQuery data at scale! BigQuery's Vertex AI integration empowers you to use the Gemini models to analyze unstructured, semi-structured, and structured data - using just SQL.
|
By Google BigQuery
Datastream is Google Cloud's change data capture (CDC) service for streaming ingestion and replication. In this video, we show how to use Datastream to easily set up replication from a MySQL database to BigQuery.
|
By Google BigQuery
Reimagine your data analysis experience with the AI-powered BigQuery data canvas. This natural language centric tool simplifies the process of finding, querying, and visualizing your data. Its intuitive features help you discover data assets quickly, generate SQL queries, automatically visualize results, and seamlessly collaborate with others – all within a unified interface.
|
By Google BigQuery
Data practitioners spend much of their time on complex, fragmented and sometimes, repetitive tasks. This limits their ability to focus on strategic insights and maximize the value of their data. Gemini in BigQuery shifts this paradigm by providing AI capabilities that help streamline your workflows across the entire data lifecycle.
|
By Google BigQuery
Data and AI Cloud for Marketing: Your marketing, multiplied by Google Cloud Speakers: Jiby Varghese.
|
By Google BigQuery
Duet AI can easily create SQL or Python code to do things like customer segmentation in BigQuery Studio.
|
By Google BigQuery
If you’re working with large amounts of data, and looking for guidance on how to build a data warehouse in Google Cloud using BigQuery- this new Jump Start Solution is for you! In this video, we’ll walk you through the Jump Start Solution that combines BigQuery as your data warehouse and Looker Studio as a dashboard and visualization tool.
- April 2024 (18)
- March 2024 (8)
- February 2024 (5)
- January 2024 (11)
- December 2023 (5)
- November 2023 (5)
- October 2023 (7)
- September 2023 (13)
- August 2023 (15)
- July 2023 (11)
- June 2023 (10)
- May 2023 (8)
- April 2023 (8)
- March 2023 (9)
- February 2023 (8)
- January 2023 (6)
- December 2022 (7)
- November 2022 (8)
- October 2022 (11)
- September 2022 (4)
- August 2022 (5)
- July 2022 (5)
- June 2022 (9)
- May 2022 (8)
- April 2022 (9)
- March 2022 (6)
- February 2022 (8)
- January 2022 (5)
- December 2021 (3)
- November 2021 (2)
- October 2021 (1)
- September 2021 (6)
- August 2021 (12)
- July 2021 (9)
- June 2021 (10)
- May 2021 (3)
- April 2021 (6)
- March 2021 (6)
- February 2021 (8)
- January 2021 (4)
- December 2020 (1)
- November 2020 (1)
- October 2020 (3)
- September 2020 (2)
- August 2020 (4)
- July 2020 (6)
- June 2020 (3)
- May 2020 (7)
- April 2020 (3)
- February 2020 (1)
- April 2019 (2)
- February 2019 (3)
- January 2019 (5)
- December 2018 (2)
- November 2018 (5)
- October 2018 (9)
- September 2018 (3)
- August 2018 (5)
- July 2018 (17)
- June 2018 (1)
- May 2018 (2)
- January 2018 (1)
- December 2017 (1)
BigQuery is Google's serverless, highly scalable, enterprise data warehouse designed to make all your data analysts productive at an unmatched price-performance. Because there is no infrastructure to manage, you can focus on analyzing data to find meaningful insights using familiar SQL without the need for a database administrator.
Analyze all your data by creating a logical data warehouse over managed, columnar storage, as well as data from object storage and spreadsheets. Build and operationalize machine learning solutions with simple SQL. Easily and securely share insights within your organization and beyond as datasets, queries, spreadsheets, and reports. BigQuery allows organizations to capture and analyze data in real time using its powerful streaming ingestion capability so that your insights are always current, and it’s free for up to 1 TB of data analyzed each month and 10 GB of data stored.