BLOGS

From Blogs To Case Studies, Whitepapers, Podcasts & Beyond

Importance of User Experience in Product Adoption

Do you know what is the key factor in success of any app? Yes, user experience. This blog tells you why and how user experience impacts your app along with some important tips to improve it.

Latest Articles

How to build HIPAA-Compliant Data Pipelines for Healthcare Analytics using Apache Spark

In this blog we explore how Apache Spark can be utilized to build scalable, efficient, and HIPAA-compliant data pipelines for healthcare analytics. Further, we delve into key considerations, best practices, and practical examples to navigate the complexities of handling Protected Health Information (PHI) while maximizing the potential of Spark for healthcare data analytics.

Benchmarking Python Frameworks for Real-Time Dashboards: Django Channels vs Flask SocketIO

This post provides an in-depth comparison and benchmark of two popular Python frameworks for building real-time dashboards: Django Channels and Flask SocketIO. It covers their ease of use, architecture, performance, scalability, and overall development experience to help developers choose the right framework for their next real-time application.

How to optimise React UseMemo Hook Dependency Lists for Component Caching

Explore advanced techniques for optimizing React's useMemo hook. Learn best practices for dependency management and component caching to enhance your React applications' performance

Scaling Thousands of Concurrent Data Grid Rows with Cell-Based Virtualization in React

In this article, we'll explore a technique called "cell-based virtualization" to smoothly handle tens of thousands of concurrent data grid rows in a React-based web application.

Leveraging the Power of Pandas API on Spark for Scalable Data Analysis

In this blog, we learn how to utilize the Pandas API on Spark for efficient and scalable data analysis. This comprehensive tutorial covers everything from installation to applying custom business logic with UDFs, analyzing big datasets, and saving results, using PySpark 3.5.

How to debug Flink OutOfMemory Errors from Checkpoints

Explore solutions to OutOfMemoryErrors in Apache Flink during checkpointing, with insights into root causes and both immediate and long-term strategies for effective memory management in stream processing. This post is a guide for developers and architects to enhance fault tolerance and efficiency in Flink applications.