Introduction: Introduction: Data ingestion is a crucial component of any data lake strategy, and selecting the right orchestrator to manage this process is essential for building a scalable, efficient, and maintainable data pipeline. This blog post will compare two popular orchestrators, AWS Step Functions and Apache Airflow, and discuss their use in managing data ingestion […]
Provisioned vs. On-Demand Capacity Modes in DynamoDB: A Deeper Dive into Cost, Robustness, and Scalability
Introduction Choosing the right capacity mode for your AWS DynamoDB table is crucial for optimizing cost, robustness, and scalability. In this blog post, we’ll take a closer look at the differences between provisioned and on-demand capacity modes, comparing their cost implications, robustness, and scalability in different scenarios.
Nginx in Data Lake Architectures: Enhancing Performance and Scalability
Introduction: Nginx is a high-performance, lightweight web server, reverse proxy server, and load balancer known for its stability, rich feature set, and low resource consumption. In this article, we will delve into the advantages of Nginx and how it can be applied in data lake strategies to optimize data processing and analytics. Advantages of Nginx: […]