Development Related Topics 
TechEmpower CTO
JULY 24, 2023
Even when they have talked to multiple developers or development firms, we’re often the first to ask basic questions like “Who are your customers?” ” or “Are you developing for desktop, tablet, mobile, or all three?” The innovator/developer relationship needs to be a conversation.
Martin Fowler
MARCH 12, 2024
Measuring developer productivity is a difficult challenge. Conventional metrics focused on development cycle time and throughput are limited, and there aren't obvious answers for where else to turn. Qualitative metrics offer a powerful way to measure and understand developer productivity using data derived from developers themselves.
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CIO
JUNE 4, 2024
While artificial intelligence is a key focus at SAP’s user conference, Sapphire, this year, the company has announced that it is also enhancing its Business Technology Platform — application development and automation, data and analytics, integration, and AI capabilities — by adding features to extend its components’ functionality.
Agile Alliance
APRIL 29, 2024
The evolution of product development reflects increasing complexity and interdependencies, necessitating a shift from traditional methodologies to more integrated and responsible approaches. The post Systemic impact of product development first appeared on Agile Alliance.
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Are you a developer, database architect, or database administrator that's new to Cassandra, but been tasked with developing a plan for implementing the technology anyway? Worry no more. Discover a streamlined methodical approach to Apache Cassandra® data modeling.
CIO
MARCH 12, 2024
Generative AI is already having an impact on multiple areas of IT, most notably in software development. Still, gen AI for software development is in the nascent stages, so technology leaders and software teams can expect to encounter bumps in the road.
CIO
NOVEMBER 14, 2023
Imposter syndrome—doubting your abilities to the point that you feel like a fraud—is an evergreen topic of conversation among software developers. In this moment, how can tech leaders empower their developers? For many devs, the explosion of GenAI and AI-powered coding tools makes feeling like an imposter more inevitable than ever.
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But if everyone knows that the development team is the lifeblood of your application and company, why are they often saddled with embedded technologies they don’t enjoy using? With our 100% SDLC compliance, see why developers across the globe choose Qrvey every day, and why you’ll want to as well. Download the free eBook today!
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With its unparalleled flexibility, rapid development and cost-saving capabilities, open source is proving time and again that it’s the leader in data management. But as the growth in open source adoption increases, so does the complexity of your data infrastructure.
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There are only so many priorities your product team can manage and there are only so many things your developers can afford to devote their time, attention and resources to. What’s the biggest challenge for SaaS companies?
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However, many developers and administrators who are new to this NoSQL database often encounter several challenges that can impact its performance. The topics covered include: Using Cassandra as if it were a Relational Database.
Speaker: Eran Kinsbruner, Best-Selling Author, TechBeacon Top 30 Test Automation Leader & the Chief Evangelist and Senior Director at Perforce Software
It's no secret that CTOs need to have a full understanding if they want to be successful, but does that make them responsible for developer productivity? While advancements in software development and testing have come a long way, there is still room for improvement.
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Data security requires custom-developed middleware in the form of metatable tables, user access controls, and a semantic layer that orchestrates data security. When you use a data warehouse to power your multi-tenant analytics, the proper approach is vital. This is time-consuming to maintain and adds complexity as you scale.
Speaker: Jesse Walker, Product Manager at Canva
After all, at the other end of the product development workflow is a real person relying on the products we're building to make their lives easier. When you add the complexities of working in a fast-moving organization, we can sometimes lose sight of the forest for the trees.
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At what point do you decide to keep building your analytics in-house or invest in an embedded analytics solution?
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