Technology Blogs | Lucent Innovation

Git is a potent tool that facilitates efficient code management and collaborative development among the many version control systems. This blog explains its ability to annotate important moments in project history using tags, one of its key features. Tags provide a static point-in-time reference to each commit, allowing for creating a snapshot of a project.  

Look inside the world of Jenkins with our all-inclusive guide. Get detailed steps for successfully deploying Spring Boot programs on AWS Elastic Beanstalk, integrating GitLab, and deploying locally. Develop your DevOps skills by navigating key configurations and overcoming obstacles in AWS Lambda deployment.

This blog talks about Perceptron. It is The Building Block of AI - Learn how simple neurons build brilliant machines. 
 

This blog informs about the latest backend frameworks you can use in 2025. These frameworks, which provide unmatched speed, flexibility, and developer-friendly features, completely change how we construct reliable and scalable server-side applications.

Deep learning is the brains behind AI-powered miracles like trend forecasting, language translation, and even creative expression. Discover algorithms, neural networks, and practical applications in easy to understand language. No coding knowledge is required! This blog explains how our world is shaped, predicted, and learned by machines.

Are you unsure between Angular and React? This guide analyzes their advantages, disadvantages, and best practices. To choose the best JavaScript framework, compare component structures, data binding, performance, and other factors.

Learn how effective asset monitoring can revolutionize your industry and how more intelligent tracking can improve your company. Discover the benefits of advanced asset monitoring systems, including streamlined operations and proactive decision-making. Embrace the future of business optimization to stay ahead of the competition.

This blog explains Apache Parquet, a columnar file format that improves big data storage and processing by efficiently organizing data for faster queries and reduced storage costs. It’s compatible with frameworks like Hadoop and Spark, and the blog also provides tips for accessing Parquet files in Python.