Semantic layers are a game changer, allowing organizations to define metrics and business logic in one, centralized location. Because business users can trust that their data is built on a single source of truth, the semantic layer also empowers self-service analytics. Looker Modeler has become a leader among semantic layers, allowing users to seamlessly layer on top of their business data.

Domain-driven designs are popular in organizations that have complex domain models and wish to organize engineering around them. REST-based architectures are a common choice for implementing the API entry point into these domains. REST-based solutions are straightforward for the API builder and for API consumers concerned with data from a single API. But what about developers tasked with aggregating information across domains?

Snowflake and Salesforce have built on our existing partnership to unify the full breadth of customer and business data and generate actionable insights for our customers. We are happy to announce the general availability of Bring Your Own Lake (BYOL) Data Sharing with the Snowflake Data Cloud from Salesforce Data Cloud. Organizations can now leverage Salesforce data directly in Snowflake via zero-ETL data sharing to accelerate decision-making and help streamline business processes.

This year, we’ve witnessed a significant shift in the tech landscape. Industry giants like Amazon (AWS), Facebook, Twitter, GitHub, and others are embracing GraphQL APIs, both for their internal operations and external interactions. GraphQL, hailed as the SQL for APIs, is more than a query language – It's a runtime that efficiently retrieves data from databases.

Monolithic architectures have long been the go-to when it comes to software design and building applications. However, monolithic architectures have their fair share of drawbacks and make it harder to make changes to an application efficiently. Therefore, monolithic architectures have given way to a new type of architecture that allows developer teams to make faster and more efficient changes, known as microservices architecture.

Here are the top 9 ecommerce reports that online store owners across the globe track to improve business performance and grow revenue.

If you’re just getting started with software testing, or you’re looking to switch from manual testing to automation, the idea of a free test automation tool can be pretty appealing. Theoretically, a free tool means you can start producing automated test coverage with little or no financial risk. But that’s not how it shakes out in reality. Almost all “free” automated testing tools come with (sometimes substantial) hidden costs.

In the first two parts of our Inside Flink blog series, we explored the benefits of stream processing with Flink and common Flink use cases for which teams are choosing to leverage the popular framework to unlock the full potential of streaming. Specifically, we broke down the key reasons why developers are choosing Apache Flink® as their stream processing framework, as well as the ways in which they are putting it into practice.

Selenium and JavaScript are ushering in a new era of excellence in web automation testing. Dive into the tutorial to find out how using both together can help you reimagine testing speed and efficiency.

Salesforce has gained in popularity as one of the most comprehensive CRM platforms. However, when it comes to reporting, Salesforce lacks some key features required to make the most of your data-driven insights. For example, Salesforce reporting doesn't provide customization and it requires tedious manual data entry. Salesforce reporting tools offer an easy fix.