Systems | Development | Analytics | API | Testing

Challenges of Textual Data and the Progression of Textual Analytics

In the beginning, simple systems collected data, wrote data to files, and created reports. For the most part, these systems operated on transaction-based data—bank deposits, sales, telephone calls, and the like. An entire infrastructure supported these essential business systems, but there was little or no place for text. All data was highly and tightly structured, and text was ignored.

Four Challenges Facing the Life Sciences Industry in 2020

New breakthroughs in drug development are leading to groundbreaking results that could change lives in 2022 and beyond. However, at the dawn of a new decade, there are major challenges facing the industry that could prevent this innovation revolution. With the rising costs and increasing complexities involved in bringing products to market, life sciences organizations are re-examining their business operations and technology adoption.

The 28 API tools you need

With APIs taking over, more people are asking: What can I use to create my API? Although there are many different API standards and types, we will primarily focus on REST APIs. An API can be as simple as a single endpoint with one purpose, or it can be much more complex, like the AWS APIs with 1000s of endpoints and 100s of thousands of users. What all of these APIs have in common is that they have to be developed. We like to classify the development of APIs in 3 phases: Design, Build and Host.

9 Key Features of Enterprise Data Visualization Software

Enterprise organizations with complex datasets, need to find ways to make their data more accessible and usable. One way to do this is through data visualization, which can help provide reporting that makes data more understandable and actionable. While the bare minimum requirement for data visualization BI software is good data visualization capability, there are more specific features that are often needed.

11 Java Debugging Tips for Developers with Eclipse

Debugging your code is one of every developer's worst nightmares. Debugging Java code is a difficult task. It is the process of detecting and fixing bugs or errors in code, projects, or applications. For any Java developer, debugging is a must-have ability. The ability to debug a Java program allows you to uncover any subtle bugs that aren't obvious during code review or appear when a specific situation occurs. This article offers some tips for debugging Java code.

Automate Your Way to Business Agility, Speed, and . . . the Caribbean?

So far, in Parts 1 and 2 of this blog series we’ve explored how building a unified and integrated vacation plan is a lot like moving your business through the phases of successful digital transformation. In Part 1, we talked about using process mining to know where your bottlenecks and potential obstacles are, and understanding how to resolve them.

Simplify Metrics on Apache Druid With Rill Data and Cloudera

Co-author: Mike Godwin, Head of Marketing, Rill Data Cloudera has partnered with Rill Data, an expert in metrics at any scale, as Cloudera’s preferred ISV partner to provide technical expertise and support services for Apache Druid customers. We want Cloudera customers that rely on Apache Druid to know that their clusters are secure and supported by the Cloudera partner ecosystem.