What is Soak Testing? How to Design a Soak Test
Software applications often perform well during short-term testing but encounter issues during continuous use.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Top Considerations Before Selecting an Automation Tool | Ravi Kiran | #AutomationTesting
Choosing the right automation tool can feel like a daunting task, but it’s also one of the most critical decisions for successful software testing. In this AMA session, Ravi Kiran, Head of Engineering - Quality at CAW Studios, breaks down the process of identifying the perfect fit for your project needs. From understanding application requirements and team expertise to evaluating usability, scalability, integration capabilities, and even cost—this session covers it all in a practical, conversational format.
Empower Your Cyber Defenders with Real-Time Analytics
Today, cyber defenders face an unprecedented set of challenges as they work to secure and protect their organizations. In fact, according to the Identity Theft Resource Center (ITRC) Annual Data Breach Report, there were 2,365 cyber attacks in 2023 with more than 300 million victims, and a 72% increase in data breaches since 2021. The constant barrage of increasingly sophisticated cyberattacks has left many professionals feeling overwhelmed and burned out.
How AI-Driven Test Automation Enhances Business Efficiency and Reduces Costs
If there was a way to make your software testing faster, more accurate, and much less expensive, wouldn’t that be a game changer? That’s exactly what AI test automation is making possible. Traditional testing methods are slow, tedious, and expensive—especially as software gets more complex. Manual testing is time-consuming, brings errors throughout the process, and is a costly proposition. However, these problems can be overcome with AI-powered automation.
Performance Management Using Saved Data
Find out how businesses can design dashboards in Bizview to present financial data effectively, whether using iframes, web tools, or sharing externally via Excel.
How to Add a Connector to Confluent Cloud
Kafka Connectors provide a way to get data flowing between your sources and sinks, and Confluent Cloud. This video reviews your options and shows you how to get started quickly.
Feature Spotlight: Hyper-datasets for Unstructured Visual Data
ClearML’s end-to-end AI Platform supports AI builders through every stage of the process, from data preparation and management to experimentation, deployment, and performance monitoring. At the heart of ClearML’s data management capabilities is its unique approach to visual data handling, known as Hyper-datasets. We’re sure you know all about the importance of data versioning, but here’s a quick reminder: effective data management is essential for.
Octopai Acquisition Enhances Metadata Management to Trust Data Across Entire Data Estate
We are excited to announce the acquisition of Octopai, a leading data lineage and catalog platform that provides data discovery and governance for enterprises to enhance their data-driven decision making. Cloudera’s mission since its inception has been to empower organizations to transform all their data to deliver trusted, valuable, and predictive insights.
Bank Statement Extraction: Software, Benefits, and Use Cases
Bank statements contain useful financial information that can be turned into important insights. With the era of manual bank statement extraction firmly in the past, intelligent document processing (IDP) and artificial intelligence (AI) offer a better way of processing bank statements and obtaining the valuable data they contain.
Low-Code Data Integration for Enterprise Salesforce Architects
In large enterprises, Salesforce Architects play a critical role in ensuring data flows seamlessly into Salesforce from various sources. However, data integration in these complex environments can be challenging, particularly when technical tools like MuleSoft are already in place. While powerful, MuleSoft often requires heavy reliance on development teams, which slows down data projects and creates bottlenecks.