Extending BigQuery Functions beyond SQL with Remote Functions, now in preview

Today we are announcing the Preview of BigQuery Remote Functions. Remote Functions are user-defined functions (UDF) that let you extend BigQuery SQL with your own custom code, written and hosted in Cloud Functions, Google Cloud’s scalable pay-as-you-go functions as a service. A remote UDF accepts columns from BigQuery as input, performs actions on that input using a Cloud Function, and returns the result of those actions as a value in the query result.

Processing Unstructured Data 101

Here are five things to know about processing unstructured data: Unstructured data is big. Really big. According to an MIT Sloan School of Management study, 80-90 percent of data is unstructured information such as photos, text, audio, emails, and social media posts. This should come as no surprise to e-commerce retailers who collect and store unstructured data from invoices, online product reviews, sales presentations, and chatbot conversations with customers.

Data Integration for B2B E-Commerce, Explained

Five things to know about data integration for B2B ecommerce: Business-to-business (B2B) ecommerce companies share many of the same data integration obstacles as their business-to-consumer (B2C) counterparts—managing multiple data types, abiding by data governance guidelines, merging data with partners, etc. Still, many data integration solutions cater specifically to ecommerce enterprises in the B2C space, so integrating data remains a challenge for the B2B sector.

ThoughtSpot Expands the Modern Analytics Cloud to Help Companies Dominate the Decade of Data

New capabilities empower customers to use insights to drive actions, take advantage of any kind of visualization, and embed Live Analytics seamlessly into products and services to get the most value from the entire Modern Data Stack.

ThoughtSpot Launches New Editions for Individuals and Teams to Democratize the Modern Analytics Cloud

New edition enables companies of any size to take advantage of the Modern Analytics Cloud and build their business on data, paying only for what they use instead of shelfware licenses sold by traditional analytics vendors.

New! Build seamless Live Analytics workflows with ThoughtSpot and dbt

It’s no secret that modern data professionals are under immense pressure to deliver more data and insights to more business users, more quickly than ever before. Data is the lifeblood of your business. And frontline business people need personalized, actionable insights to make data-driven decisions. But before these users even touch a self-service Live Analytics platform like ThoughtSpot, the data must be appropriately modeled by analytics engineers.

ThoughtSpot supports Amazon Redshift Serverless

As companies go all in on the cloud to dominate the decade of data, agility, flexibility, and ease of use are critical to success. That’s why we’re so excited to announce ThoughtSpot’s support for Amazon Redshift Serverless which allows customers to leverage the Modern Analytics Cloud to run and scale analytics on Amazon Redshift without having to provision and manage any data warehouse infrastructure.

Using Snowpark As Part Of Your Machine Learning Workflow

Teams working on data science initiatives are tasked with deriving new insights from massive amounts of data. To accomplish this, teams work with compute environments that require heavy operational overhead, which means most of their time is spent extracting and processing features for machine learning model training and inference. Pairing Snowflake’s near-unlimited access to data and elastic processing engine with the most popular programming languages can change that, so more time can be spent on model development.