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.

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.

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).

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.

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.

Integrations can be done efficiently with IPaaS tools. Quickly set up point-to-point connectors, add logic and orchestration, and the integration is done and configured. The difficulty comes with more custom and bespoke systems. For example, when custom fields are added to an ERP or CRM, when you need to integrate with a legacy system, or when there is no connector to interact with. Linx can assist in cases where high flexibility and customization are required.

Recently, Cloudera, alongside OCBC, were named winners in the“Best Big Data and Analytics Infrastructure Implementation” category at The Asian Banker’s Financial Technology Innovation Awards 2024. This recognition underscores the importance of trusted data when building AI and generative AI (GenAI) models and serves as a testament to the impact that reliable data can have in real world use cases.