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.
Streamline ETL: Unveiling Drop and Rename vs. Truncate Benefits
Introduction The ETL (Extract, Transform, Load) process is a critical component of data management and data warehousing. It involves extracting data from various sources, transforming it into a useful format, and loading it into a data warehouse or other data storage systems. An important aspect of ETL is efficiently managing the data in your target […]