Thousands of customers have worked with Snowflake to cost-effectively build a secure data foundation as they look to solve a growing variety of business problems with more data. Increasingly customers are looking to expand that powerful foundation to a broader set of data across their enterprise.

In the world of APIs, there are many different architectural styles for building APIs, and each one has its own benefits, cons, and ideal use cases, but two prominent approaches dominate the landscape: gRPC and REST. Both have their unique strengths and weaknesses, making them suitable for different scenarios. In this blog, we’ll delve into the key differences between gRPC and REST, explore their use cases, and help you decide which one might be the best fit for your project.

With today's fast-paced business environment, efficiency in data exchange holds the key to competitiveness and overall effectiveness in operations. EDI (Electronic Data Interchange) contributes massively to achieving this efficiency, redefining the way companies handle their data transactions. EDI is vital for doing business today. These automated workflows enable reduced transaction costs and improved data accuracy.

According to Gartner’s 2023 report, 60% of the organizations surveyed automate their software testing to boost product quality, 41% reported using it to speed up deployment, and 29% say it helps alleviate their QA teams’ workload. Also, 43% of these organizations claimed that test automation results in higher test accuracy. Despite automation’s large-scale adoption and various benefits, many QA leaders and test engineers find its implementation challenging.

80% of organizations use APIs, highlighting the significant adoption rate and an upward trend for greater API usage. APIs can be important for businesses, but creating them from scratch is complex. With the advent of various API generation tools, the task of developing APIs has been simplified. API generation tools automate the creation process of an API based on existing code and specifications, such as pre-defined data sources, functionalities, and access control.

Quality assurance (QA) is a critical aspect of software development. It ensures that products function correctly, meet user expectations, and maintain high reliability. Without proper QA, software can be riddled with bugs and errors, leading to user frustration, security vulnerabilities, and financial losses. Companies reported 7 billion in losses in the US alone due to software bugs in 2020.

As programmers we know that, despite our best efforts, we’ll never be able to completely eliminate errors from our apps. The sheer complexity of modern apps, not least the reliance on dynamic (often third-party) inputs, means errors are inevitable and error handling (exception handling) is crucial to user experience.

Businesses must evolve and innovate to stay competitive in the ever-growing market. API adoption has witnessed an extraordinary surge across industries. Over 85% of enterprises are already using APIs or are in the process of doing so, a testament to how APIs are integral to defining business operations. APIs act as messengers, enabling different software applications to talk to each other and share data. Businesses can create a unified data architecture by integrating applications through API adoption.

How to use BigQuery vector search to analyze logs and asset metadata stored in BigQuery tables.