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You are at:Home » How Developer Data Platforms Are Providing Devs With New Ways To Work With Datav

How Developer Data Platforms Are Providing Devs With New Ways To Work With Datav

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By Albert on March 12, 2024 Technology
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As massive volumes of new data continue to be generated each day, technologies must continually evolve in order to manage and harness them. We’ve covered plenty of these technological breakthroughs on All World Day, but one particular advancement in the field holds an exciting potential for those who manage data – the developer data platform.

Developer data platforms are powerful environments that act as mission control for managing, cleansing, enriching, and utilizing data at scale. They are equipped with tools that help developers deploy applications smoothly, and also have multiple cloud service integrations to provide a seamless workflow and facilitate effective data handling.

As you can see, the promise of these platforms rests on the pillars of ease, speed, and effectiveness. Let’s look into how dev teams have leveraged developer data platforms to revolutionize their work process.

Integrating Elastic Search

Elastic search is an open-source, RESTful search engine that provides scalable search and analytics through an interface that can efficiently handle large volumes of data in real-time. This allows developers to search, analyze, and visualize data patterns in a way that provides unprecedented insights into their raw data.

Developer data platforms make integrating Elastic search a breeze; developers can easily integrate this powerful search engine into their data platforms for incredulous gains in efficiency and precision when parsing through massive amounts of data.

Diagnostics service provider Redcliffe Labs did just that when they expanded to multiple cities. The company took advantage of a developer data platform’s document model and improved their patient resource, allowing them to serve more customers and keep costs down.

Building Generative AI

Generative AI is a cutting-edge technology that can create realistic human voice, images, and even manuscripts, all of which are steeped in machine learning models. These models, in turn, need large datasets to learn and improve. 

AI company Instabase had the goal of creating an AI hub that used LLMs without users needing to tweak the ML algorithms. The solution was then built on a developer data platform, which helped the AI business save 30% on costs while improving performance and availability.

Deploying Multiple Cloud-native Apps

Because of their optimal development environment with necessary toolsets, orchestration capabilities, and enhanced security protocols, developer data platforms allow dev teams to smoothly and efficiently deploy multiple cloud-native apps. Devs can manage the application lifecycle from a single interface, which substantially simplifies the process and reduces the time taken from conception to development.

Telecom giant Vodafone’s ‘Tech 25’ plan aims to leverage 5G-enabled services for both consumers and businesses, and to execute it, the enterprise would need thousands of developers to create cloud-native apps. They utilized the developer data platform at MongoDB to provide the necessary tools for these teams. Since the platform helps reduce operational issues, Vodafone’s developers have more room to experiment on services.

Powering Banking-as-a-Service

Banking-as-a-Service (BaaS) platforms offer industry-specific tools that catalyze data management and digital transformation in the banking sector. Utilizing developer data platforms, BaaS platforms empower fintech startups and established banking organizations to deploy banking services quickly and efficiently.

One example is Temenos, which specializes in enterprise software for financial services. The company’s Banking cloud, built on a developer data platform’s infrastructure, achieved high-speed performance by processing 200 million financial data at 150,000 transactions per second. This marks a new era of data handling capabilities, capable of catering to the extensive needs of the banking industry.

Conclusion

In summary, developer data platforms are empowering devs with the artillery to combat the explosion of data. They provide the foundation for teams to work with data in more efficient, affordable, and innovative ways.

As databases continue to expand and technology advances at an unprecedented rate, developer data platforms offer the agility and scalability necessary to derive value from data. They are not just transforming data management strategies, but also reshaping industries and paving the way for new possibilities in the technological world. 

Learn more about how companies use technology to stay ahead of the curve by visiting our site’s Business section.

Albert
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