Systems | Development | Analytics | API | Testing

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What is Data Mapping?

The quick and dirty definition of data mapping is the process of connecting different types of data from various data sources. Data mapping is essential for integration, migration, and transformation of different data sets; it allows you to improve your data quality by preventing duplications and redundancies in your data fields. Data mapping is a crucial step in data modeling and can help organizations achieve their business goals by enabling data integration, migration, transformation, and quality.

What's new in 2.6 | Cost Savings and Developer Improvement

Data engineers and analysts need a self-service way to build data movement flows to get critical data to where it needs to be. Cloudera DataFlow enables self-service by introducing fine grained access control with projects. Projects allow users to group flow drafts and deployments and give access to team members as needed.

How To Improve #TestAutomation Speed? | Yatender Sharma | #softwaretesting #automationtesting

In this video, join Yatender Sharma as he reveals valuable insights on accelerating test automation speed in this engaging video. Discover practical strategies to enhance your automation processes and achieve faster results. From automatic failure analysis and correction to seamless integration with Continuous Integration & Delivery (CI/CD) pipelines, Yatender covers it all.

Mastering the API Lifecycle: Essential Stages & Proven Strategies for Success

What determines the success of an API? A significant part lies in mastering the API lifecycle—from planning to retiring, every step impacts your API’s performance and adoption. The API lifecycle involves several critical stages—planning, designing, developing, deploying, consuming, monitoring, and retiring. Each stage dictates the successful implementation of APIs, including governance models, transparency, and security being crucial throughout.

NatWest automates to keep ahead of the digital challenge.

The NatWest team found opportunities to automate 46% of data in their governance processes. Using Appian’s data fabric, NatWest created a unified data model that integrated 14 disjointed processes, aligning with the company’s "One Bank" vision. This consistent architecture enables employees to enter data once and reuse it throughout the change cycle, enhancing risk control with higher levels of automation.

Kubernetes Native API Management: Create and Deploy APIs with WSO2 APK

Commence an exploration into Kubernetes Native API Management with WSO2 in this enlightening session. Guiding you through the details of creating and deploying APIs, we commence the exploration of the robust WSO2 API Platform for Kubernetes (APK). Discover an innovative AI-powered health and wellness coach application, unraveling the process of exposing microservices as managed APIs in a Kubernetes environment. The setup involves deploying WSO2 APK alongside microservices, providing a comprehensive view of API creation methodologies.

Data Bytes & Insights: Strategies for Modernizing Enterprise Data Architecture

Legacy tools holding you back? Are you ready to transform your enterprise data architecture for enhanced efficiency? In this insightful webinar "Strategies for Modernizing Enterprise-Level Data Architecture," Puneet Gupta, SVP of Product, and Cade Winter, Director of Sales Engineering at Hevo Data, guided us through strategies to drive efficiency, enhance security, and boost agility within organizations.

Preventing Hallucinations in AI Apps with Human-in-the-Loop Testing

Artificial intelligence (AI) apps are becoming increasingly crucial for individual customers and businesses alike. These apps bring many benefits, such as task automation, efficient analysis of large data sets, and data-informed decision-making, making AI-powered applications highly valuable. As a result, DevOps teams working on AI apps can’t afford poor performance.