Systems | Development | Analytics | API | Testing

%term

The Future of Shift-Left in Software Development

According to the NIST research, the cost of detecting and fixing software defects exponentially increases over time. Shift left testing highlights the importance of testing early and frequently in the software development lifecycle (SDLC) to ensure that errors are identified and fixed as soon as possible. This method aligns closely with Agile Testing and DevOps Testing philosophies, which emphasize early and continuous integration.

Low Code Integration Tooling | WSO2Con USA 2024

We're thrilled to unveil the brand-new Micro Integrator extension for VSCode, crafted to revolutionize the development experience within the WSO2 Micro Integrator ecosystem. Explore the innovative features seamlessly integrated into this extension and discover how it can elevate your Micro Integrator development process. Join us as we delve into the boundless possibilities!

A Complete Guide to Data Analytics

Data analytics is the science of analyzing raw data to draw conclusions about it. The process involves examining extensive data sets to uncover hidden patterns, correlations, and other insights. With today’s technology, data analytics can go beyond traditional analysis, incorporating artificial intelligence (AI) and machine learning (ML) algorithms that help process information faster than manual methods.

Bringing Financial Services Business Use Cases to Life: Leveraging Data Analytics, ML/AI, and Gen AI

The financial services industry is undergoing a significant transformation, driven by the need for data-driven insights, digital transformation, and compliance with evolving regulations. In this context, Cloudera and TAI Solutions have partnered to help financial services customers accelerate their data-driven transformation, improve customer centricity, ensure compliance with regulations, enhance risk management, and drive innovation.

Unify your data: AI and Analytics in an Open Lakehouse

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission-critical, large-scale data analytics and AI use cases—including enterprise data warehouses. Nearly two years ago, Cloudera announced the general availability of Apache Iceberg in the Cloudera platform, which helps users avoid vendor lock-in and implement an open lakehouse. With an open data lakehouse powered by Apache Iceberg, businesses can better tap into the power of analytics and AI.