Remove Code Remove Definition Remove Design Remove Efficiency
article thumbnail

Tips And Tricks For Evaluating UX/UI Designers

Smashing Magazine

Tips And Tricks For Evaluating UX/UI Designers. Tips And Tricks For Evaluating UX/UI Designers. When a company’s digital representation lacks a dedicated UX/UI design team, it can be hard to produce something that stands out from the crowd. That happens when your app/website/system is efficient. Nataliya Sambir.

Design 113
article thumbnail

Dynatrace observability is now available for Red Hat OpenShift on the IBM® Power® architecture

Dynatrace

By leveraging the Dynatrace Operator and Dynatrace capabilities on Red Hat OpenShift on IBM Power, customers can accelerate their modernization to hybrid cloud and increase operational efficiencies with greater visibility across the full stack from hardware through application processes.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Building High-Quality Software

DZone

If you start catching bugs early, it will save you tons of time fixing them later.nn> Design reviewnnIt’s a very powerful tool when used in a good way. It sits at the very beginning of the process before the code is written and can save an immense amount of time down the road (of somebody spending tons of time just to get to a dead-end).

Software 245
article thumbnail

SKP's Java/Java EE Gotchas: Clash of the Titans, C++ vs. Java!

DZone

This begins not only in designing the algorithm or coming out with efficient and robust architecture but right onto the choice of programming language. But these are definitely ruled out for enterprise applications due to the complexity in development, maintainability, need for object orientation, and interoperability.

Java 207
article thumbnail

What is a data lakehouse? Combining data lakes and warehouses for the best of both worlds

Dynatrace

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. This data lands in its original, raw form without requiring schema definition.

article thumbnail

The history of Grail: Why you need a data lakehouse

Dynatrace

A data lakehouse addresses these limitations and introduces an entirely new architectural design. This starts with a highly efficient ingestion pipeline that supports adding hundreds of petabytes daily. A schema is a fixed definition to organize data in certain fields. Thus, it can scale massively.

article thumbnail

Fearing the Wrong Thing

O'Reilly

I did a very non-scientific study of the amount of time programmers actually spend writing code. OK, I just typed “How much of a software developer’s time is spent coding” into the search bar and looked at the top few articles, which gave percentages ranging from 10% to 40%. How much time and effort does that save?