Systems | Development | Analytics | API | Testing

%term

Unlocking Success With the Databox Customer Lifecycle Framework

At Databox, we put our company values at the forefront of everything we do. Prioritizing customer impact is one of the values we focus on the most, so taking the time to really understand our customers is paramount and we employ multiple strategies, frameworks, and initiatives on a daily basis to achieve this. One of those strategies is our Customer Lifecycle Framework (CLF), which reflects our dedication to prioritizing the needs of our customers at every stage of their interaction with us.

Snowflake vs. Oracle: Which Data Warehouse is Better?

Snowflake and Oracle Autonomous Data Warehouse are two cloud data warehouses that provide you with a Single Source Of Truth (SSOT) for all the data that exists in your organization. You can use either of these warehouses to run data through business intelligence (BI) tools and automate insights for decision-making. But which one should you add to your tech stack?

Software Testing Reports: 7 Essential Steps

In the dynamic landscape of software development, where agility and precision are paramount, testing reports emerge as a cornerstone for quality assurance, tracking progress, and fostering effective communication among stakeholders. Let's embark on a journey to explore the intricacies of testing reports, unraveling their significance, types, content, and the tools that can elevate your reporting game.

Best 13 Free Financial Datasets for Machine Learning [Updated]

Financial services companies are leveraging data and machine learning to mitigate risks like fraud and cyber threats and to provide a modern customer experience. By following these measures, they are able to comply with regulations, optimize their trading and answer their customers’ needs. In today’s competitive digital world, these changes are essential for ensuring their relevance and efficiency.

How to use GenAI for database query optimization and natural language analysis

In the past, querying a database required Structured Query Language (SQL) skills, or knowledge of other database query languages, such as Kibana Query Language (KQL). Today, with the emergence of generative AI (GenAI), teams can query their analytic database using natural language — and get plain English results in return. Or, if you prefer to still use SQL, many teams use GenAI for database query optimization, making queries faster and more efficient.

FoxSell's Journey to Time, Cost, and Performance Optimization with Koyeb

Today, e-commerce has become much of the world's preferred way to shop, thanks to its convenience and accessibility. With more shoppers looking at online stores, both small and large businesses alike need to establish their presence in the online marketplace. A key player in this transition is Shopify, a game-changing commerce platform that simplifies building, customizing, growing, and managing an online store.

How to load test OpenID/OAUTH

Performance testing scripts need to go through authentication in order to access target services with the right authorization. They also need to validate that the authentication servers are able to handle the target load. OpenID Connect(OIDC) has become a popular authentication and authorization protocol for securing web applications. This article will present the OIDC protocol and how to implement a JMeter script to performance test it.

Successfully Navigating the Journey from Manual Testing to Test Automation

The journey from manual testing to test automation can be daunting, with several potential roadblocks limiting success. Some factors that make this transition challenging include the high upfront costs, limited access to talent, and the need to implement sustainable script maintenance. These factors can be overwhelming and seem at odds with the objective of leveraging automation, which is to relieve pressure from product executives to increase software release velocity, improve efficiency, and cut costs.

The AI Hallucination Problem: How to Protect Your Work

Artificial intelligence has been instrumental in helping businesses streamline and speed up business operations by automating repetitive tasks. It also frees up workers to focus on higher-level tasks that require human intervention. And when paired with other intelligent automation tools, such as robotic process automation, it can improve business processes and provide a competitive advantage.