Systems | Development | Analytics | API | Testing

The key to Extract-Load then Transform (ELT) is that the data is landed in a normalized schema. Why? Correctness, flexibility and understandability.

You have been putting in the work, and your company has been growing manifold, Your client base is growing more than ever, and the projects are pouring in. So what comes next? it is now time to focus on the data that you are generating. When programming an application, DevOps engineers keep track of many things, such as bugs, fixes, and the overall application performance. This ensures that the application operates with minimum downtime and that any future errors can be predicted.

When you look closer at the Modern Data Stack (MDS) you need to brace yourself. The number of tools companies use for their databases, user administration, data extraction, data integration, security, machine learning, and a myriad of other use cases has grown astronomically. Matt Turck, VC at FirstMark, composes a yearly infographic of the hot tools in the datascape: And this is just a shortlist of both the most popular and fastest-growing tools.

Gaining insights from your data can be time-consuming. Or as simple as a few clicks. Depending on if you want to do everything by yourself, or if you let us help. For example, next time one of your stakeholders asks: “Can you deliver the dashboards by the end of next week?” You can say yes with confidence, and in this blog we are going to show you why and how it is done.

Enabling data and analytics in the cloud allows you to have infinite scale and unlimited possibilities to gain faster insights and make better decisions with data. The data lakehouse is gaining in popularity because it enables a single platform for all your enterprise data with the flexibility to run any analytic and machine learning (ML) use case. Cloud data lakehouses provide significant scaling, agility, and cost advantages compared to cloud data lakes and cloud data warehouses.

Automated software testing powers faster releases and higher-quality user experiences. As developers make changes to the applications, automation engineers, test leads, and developers work together to resolve issues that occur on some of the automated tests. Test failure analysis activities allow these teams to perform root cause analysis (RCA) for these failures. These activities can take increasing amounts of time as the scale of automated testing grows.

Manufacturing companies face complex challenges in a competitive landscape. To meet these enormous challenges, manufacturers have long invested in continuous improvement methodologies like lean manufacturing. Also, increasing numbers of manufacturers are adapting and investing in Industry 4.0 technologies to tame the complexity by increasing automation, adopting smart machines, and enhancing smart factories.

Current data architecture is going through a revolution. Enterprises are starting to shift away from the monolithic data lake towards something less centralized: data mesh. Data mesh is a relatively new concept, first coined in 2019, that addresses potential issues with data warehouses and data lakes that can cause businesses to be slow, unresponsive, or even suffer from data silos. Data mesh benefits are able to provide a wealth of advantages to your business.

Test automation is becoming a critical part of the development lifecycle across all types of products and industries. As automation exponentially increases test complexity, testing teams need a unified, structured solution for automated test management to ensure the highest quality product. To meet this need, the latest Helix ALM Release 2022.2 delivers enhanced automated test management capabilities.

Yellowfin converts your data into visual Reports and then helps you to create Dashboards and Stories to present these reports to your customers. The Reports are usually a combination of data fields and charts. Charts are a significant component of any report. They help customers understand the data quickly and give your report or presentation clarity and authority.