Systems | Development | Analytics | API | Testing

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Addressing the Elephant in the Room - Welcome to Today's Cloudera

Hadoop. The first time that I really became familiar with this term was at Hadoop World in New York City some ten or so years ago. There were thousands of attendees at the event – lining up for book signings and meetings with recruiters to fill the endless job openings for developers experienced with MapReduce and managing Big Data. This was the gold rush of the 21st century, except the gold was data.

Which Language Should Testers Use?

Should you design tests in the same language as the application you’re testing, or should you use the language you’re best at? @Hanson Ho recommends using the language that’s most popular in the application’s platform. This way, you’ll have more help available from the community. If you want more insights like this one, check out Test Case Scenario.

Snowflake: Automate tuning for data cloud speed and scale

40% of companies surveyed will increase their AI investment because of advances in GenAI (McKinsey). And 80% plan to maintain or increase their investment in data quality/observability (dbt). With this in mind, Unravel is hosting a live event to help you leverage data observability to achieve speed and scale with Snowflake. Join Unravel Data for this event about automating tuning with AI-powered data performance management for Snowflake with Eric Chu, Unravel Data VP of Product, and Clinton Ford, Unravel Data VP of Product Marketing.

AI for APIs: Unlock Growth and Efficiency

AI-powered tools can enhance API marketplace management by automating various tasks such as API discovery, onboarding, and governance. Advanced recommendation systems can match developers with relevant APIs based on their preferences and project requirements, facilitating faster adoption and increasing transaction volumes within the marketplace.

Ensuring the performance of your Kafka-dependent applications

In today’s data-driven world, Apache Kafka has emerged as an essential component in building real-time data pipelines and streaming applications. Its fault tolerance, scalability, and ability to handle high throughput makes it a great choice for businesses handling high volumes of data.

Data Lineage: A Complete Guide

Data lineage is an important concept in data governance. It outlines the path data takes from its source to its destination. Understanding data lineage helps increase transparency and decision-making for organizations reliant on data. This complete guide examines data lineage and its significance for teams. It also covers the difference between data lineage and other important data governance terms and common data lineage techniques.

Using Alamofire and integrating it with Bugfender

Its ability to simplify a variety of tasks such as making HTTP requests, handling responses, and managing network activities, has made Alamofire one of the most popular and powerful networking libraries in Swift. Today we’ll be looking at how Alamofire can be integrated with Bugfender to cut through the complexities of URLSession to streamline networking operations in our apps.