developers 
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
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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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.
Xebia
MARCH 21, 2024
Developer productivity is a hot topic right now. One conclusion we can probably all agree on is that modeling developer productivity is hard. Can we use these five ideas as a lens through which we can look at developer productivity? Will it help us improve how we think about modeling developer productivity?
CIO
MARCH 27, 2024
With the need to IDEATE in mind, the company takes a multi-pronged approach to talent development. In the IT organization, there are several high-level talent programs focused on attracting, retaining and developing talent.
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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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Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics.
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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.
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You’ll Learn: How businesses drive revenue with analytics How organizations save on development costs and resources How embedded analytics compares to traditional BI platforms and similar tools Download this white paper and learn how embedded analytics is a force multiplier for business across many industries.
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You’ll learn: Seven graphics libraries developers can use to enhance in-app analytics Easy-to-use wireframe tools to help the design and approval process The importance of modernizing your embedded analytics Download the e-book to learn about the seven-plus graphics libraries to enhance your embedded analytics.
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.
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