Systems | Development | Analytics | API | Testing

Ensure data integrity amidst acquisitions and mergers with Tricentis Data Integrity

In the fast-paced world of banking and finance, acquisitions and mergers continuously shape industry dynamics. Amid these transformations, ensuring data integrity becomes paramount for financial institutions. The ever-changing regulatory environment, data migrations, and the need for data-driven risk management demand a robust solution to address these challenges.

Leveraging GraphQL for Next-Gen API Platforms: An Integrated Blueprint from Kong + Apollo

The growth of APIs continues to drive our digital economy, and API management underpins the success of every modern application and the businesses that depend on their success. Today, we are very excited to announce the release of an essential guide to building and managing next-generation API platforms with GraphQL. Kong and Apollo, as leaders in the respective areas of API management and GraphQL, have partnered to author a thorough technical examination of next-generation API platforms.

Introducing Confluent Cloud for Apache Flink

In the first three parts of our Inside Flink blog series, we discussed the benefits of stream processing, explored why developers are choosing Apache Flink® for a variety of stream processing use cases, and took a deep dive into Flink's SQL API. In this post, we'll focus on how we’ve re-architected Flink as a cloud-native service on Confluent Cloud. However, before we get into the specifics, there is exciting news to share.

Deliver Intelligent, Secure, and Cost-Effective Data Pipelines

The Q3 Confluent Cloud Launch comes to you from Current 2023, where data streaming industry experts have come together to share insights into the future of data streaming and new areas of innovation. This year, we’re introducing Confluent Cloud’s fully managed service for Apache Flink®, improvements to Kora Engine, how AI and streaming work together, and much more.

What is Multi-Tenancy? Understanding Multi-tenant Analytics

Multi-tenancy is a concept that refers to the ability of a software application or system to serve multiple tenants, or customers, on a shared infrastructure. In simpler terms, it is the capability of a single instance of a software application to accommodate multiple users or organizations, each with their own datasets and customization options.

How to Increase Data Processing: Combining SFTP and Heroku

Secure File Transfer Protocol (SFTP), at its core, is a protocol designed to provide secure file transfer capabilities. With an extensive application in web development and IT infrastructures, its primary use case revolves around the encrypted transfer of files between remote servers and local machines.

Gamify Your Daily SEO Activities with Morningscore

Morningscore is a gamified SEO tool that improves your search engine optimization strategies. This tool improves website’s exposure, ranks, and general performance in search engine results by offering a wide range of tools and functions. Morningscore’s main objective is to give you in-depth information about the performance of your websites and assist you in identifying potential areas for development with fun.

100 Test Cases For Ecommerce Website (With Template + Detailed Guide)

E-commerce websites are growing faster than ever, and they are also the most challenging when it comes to testing. With thousands, sometimes millions of pages with complex features, complex search functionality, and security requirements, E-commerce websites require testers to have in-depth knowledge of the field. In this article, we will list out the most common and essential test cases for E-commerce websites and categorize them in groups.

Driving Data Discovery and Reliability for Better Business Decision Making

Enterprises are drowning in data. Structured, semi-structured or unstructured data for the modern, data-driven enterprise is everything, everywhere, all at once. But that’s also a challenge for enterprises looking to transform their data into usable information for business success. The sheer volume of data is challenging the ability of enterprises to find trustworthy, reliable data to drive their business decisions. Traditional data catalogs offer only structured data discovery.