The BigQuery ML.GENERATE_TEXT function lets you use LLMs from Vertex AI within your SQL queries to analyze text in a BigQuery table.

A constant flow of breaking news from the data lakehouse space is making notable tech headlines this week. On Tuesday, Databricks announced that it will acquire Tabular, a data management company founded by the creators of Apache Iceberg, Ryan Blue, Daniel Weeks, and Jason Reidfor. The deal was for an unconfirmed sum, but some reports suggest that amount to be between $1B and $2B (and allegedly outbidding Snowflake).

Across industries, failed payments can have irreversible consequences. Ensuring a smooth and reliable payment process is not just about preventing revenue loss but also about maintaining customer trust and satisfaction. This underscores the critical importance of comprehensive payment testing to maintain transactional integrity and customer satisfaction in today’s digital economy. This article explores payment testing best practices to ensure excellence in digital transactions.

Customer data provides a treasure trove of insights into their behavior and preferences. Marketers must leverage this information to drive strategic decisions and optimize marketing campaigns. Analysts must consolidate fragmented data across various systems to use customer data effectively. With proper data integration and governance, marketers can effectively transform their data assets into insights that inform their decision-making.

As we move through 2024, early-stage quality assurance methods ensure you meet the changing software development landscape. As a preliminary test phase, smoke testing verifies that the application’s functionalities work as expected after updates or integrations. This article will explain why smoke testing is important, as well as practical applications, examples, and best practices for smoke testing in the early stages of development.

While quality assurance (QA) and quality control (QC) are often used interchangeably, they are distinct processes that work together to ensure your software quality meets customer expectations. This article will cover the key similarities and differences between QA and QC.

BigQuery now integrates with Sensitive Data Protection with native SQL functions that allow interoperable deterministic encryption and decryption.

We’re pleased to announce the launch of Snowflake Notebooks in public preview, a highly anticipated addition to the Snowflake platform tailored specifically to integrate the best of Snowflake within a familiar notebook interface. Snowflake Notebooks aim to provide a convenient, easy-to-use interactive environment that seamlessly blends Python, SQL and Markdown, as well as integrations with key Snowflake offerings, like Snowpark ML, Streamlit, Cortex and Iceberg tables.