Remove Analytics Remove Blockchain Remove Microservices Remove Scalability
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Impact of Custom Medical Software on Healthcare

The Crazy Programmer

Investing in tailored clinical, administrative, and analytics solutions can drive efficiency, productivity, and patient care to new levels. Built-in analytics measure KPIs to identify performance gaps and opportunities in real-time. Analytics identify community disease hot spots for targeted intervention campaigns.

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Microservices, Apache Kafka, and Domain-Driven Design

Confluent

Microservices have a symbiotic relationship with domain-driven design (DDD)—a design approach where the business domain is carefully modeled in software and evolved over time, independently of the plumbing that makes the system work. In these projects, microservice architectures use Kafka as an event streaming platform. Microservices.

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9 Tech Conferences Not to Be Missed in October

Apiumhub

The Platform Summit will bring together influential figures from the global API economy, offering a rich reservoir of expertise concerning API design norms and optimal methods for microservices. This conference is organized by our friends from DevNetwork. API World puts the API Product lifecycle center stage. Interested in attending?

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Fintech App Development Trends – Growth, Tips & Insights

Xicom

But, now is the right time when fintech moves past the primary amenities of just online payments and sheaths everything under the app development process; varying from credit risks to running hedge funds with the help of emerging technologies like Blockchain, Machine Learning algorithms and data science. . Key Trend 4: Blockchain Trend.

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New live online training courses

O'Reilly Media - Ideas

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Fundamentals of Machine Learning and Data Analytics , July 10-11. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Blockchain. Business Applications of Blockchain , July 17.

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Machine Learning with Python, Jupyter, KSQL and TensorFlow

Confluent

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way.

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Top 7 software development trends to keep an eye on in 2023

Openxcell

Analytics Insight, Gartner 40% of software developers use React.js Key features of effective software development The common features that all software applications must satisfy to be successful are user experience, availability, performance, scalability, adaptability, security, and economy. as their main web framework.