Posts in Big data

Introduction Data integration and transformation are crucial for modern organizations managing massive amounts of data. AWS Glue, a serverless ETL (Extract, Transform, Load) service, simplifies[…]

In today’s data-driven world, efficient data retrieval is a top priority for engineers and analysts. When working with large datasets, repetitive complex queries can significantly[…]

As a data engineer, managing versions of your code, data pipelines, and configuration files is crucial for efficient development and collaboration. Git and GitLab provide[…]

Data modeling is a critical step in database design that helps in organizing data efficiently, ensuring data integrity, and facilitating future scalability. Different types of[…]

When choosing a relational database for your application, two names that frequently appear are PostgreSQL and MySQL. Both of these databases have been around for[…]

PostgreSQL, often referred to as Postgres, is one of the most trusted and reliable open-source relational databases. It has been the backbone of numerous large-scale[…]

Data analytics is revolutionizing the banking sector by providing powerful insights and enabling data-driven decision-making. From tracking customer behaviors to monitoring transactions, banks use data[…]

In today’s dynamic world, having a unified system that can analyze both real-time and historical data is key to staying competitive. Event analytics is a[…]

Introduction: Transferring data from Azure Blob Storage to Google Cloud Storage (GCS) can be streamlined with Google’s Transfer Service. This step-by-step guide will walk you[…]

Data is the new oil, and managing it efficiently requires robust architectures that can handle multiple data streams in real time as well as in[…]