Systems | Development | Analytics | API | Testing

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Effective Swift Unit Testing: A Comprehensive Guide to XCTest Framework

Unit tests are performed on a single unit of code, usually on a specific function, variable or flow. They allow us to test the components in isolation and validate each single component’s reliability in turn. In this article we’ll introduce the concept of Swift unit testing, and explain, at a high level, why you should carry them out, how you can start developing your iOS apps in a test driven development methodology and how you can write Swift unit test cases.

Why Is Unique, Dynamic and Run-Time Test Data Important? | Vishal Parmar #testdata #softwaretesting

In this insightful session, Vishal Parmar sheds light on the critical significance of dynamic, unique, run-time, and compliant test data in the testing landscape. Explore the key takeaways, including the essential role of unique and dynamic test data, ensuring it aligns with prerequisites and localization requirements. Vishal emphasizes the importance of comprehensive data compliance, covering the removal of data during execution.

Harnessing the Data Cloud to Empower Our Own Marketing Team: Building a Digital Ads Ecosystem on Snowflake

You need metrics to do your job well as a marketer but getting clear, meaningful metrics is a huge challenge. While digital advertisers and paid media professionals are on the hook to build ample sales pipeline and maximize return on ad spend (ROAS), they’re also expected to deliver personalized advertising content while navigating evolving privacy requirements and adhering to consumer expectations—all while extracting insights from siloed ad platforms.

Hevo Data and Kipi.bi Partner to Deliver Improved Data Maturity to Customers

Kipi.bi and Hevo Data have been bringing increased efficiency and maturity into enterprise organizations’ data stacks for years, and both teams are thrilled to formalize their partnership! Both organizations share a keen dedication to enabling data-driven decision-making by allowing businesses to leverage the power of modern data solutions.

How Your API Strategy Is Fundamental to Any Data Mesh Strategy

The data mesh approach has gained popularity over the last couple of years as organizations look for reliable ways to break down data silos. At first, data lakes looked like a good way to improve data management and make information more discoverable. Unfortunately, data lakes — and data warehouses — don’t always conform to business needs. They’re often slow and even unresponsive to queries. Potentially even worse, they can still lead to data silos.

Enhancing Customer Service with Generative AI in Core Banking Systems

Customer services now constitute one of the key distinguishing factors of banks in an ever-changing environment. With increasing customer requirements, banks must adopt and incorporate novel technological methods to provide customized services. A very promising technology in this regard is generative AI. Generative AI in core banking systems will enable banks to transform their customer services by increasing efficiencies and building meaningful customer relationships.

Microservices Trends: The Top 4 Trends That Will Shape Microservices Development

Microservices architecture has emerged as a popular approach for developing software applications in recent years. Instead of building monolithic applications, microservices architecture involves breaking down an application into smaller, independent services that can be developed, deployed, and scaled independently. This approach offers a number of benefits, including increased flexibility, better scalability, and improved fault tolerance.

15 Examples of Data Pipelines Built with Amazon Redshift

At Integrate.io, we work with companies that build data pipelines. Some start cloud-native on platforms like Amazon Redshift, while others migrate from on-premise or hybrid solutions. What they all have in common is the one question they ask us at the very beginning: And so that’s why we decided to compile and publish a list of publicly available blog posts about how companies build their data pipelines.

Understanding the Limitations of AI: How to Tackle Them? | Raju Kandaswamy #shorts #ai

In this video, Raju explores certain segments where AI faces challenges, shedding light on instances that circulated on social media. There's a revelation about AI's struggle with single-shot answers, a phenomenon that once garnered much attention and even bragging rights.