Delve into the world of cloud-based data pipelines, the backbone of efficient data movement within your organization. As a continuation of our Data Engineering Process Fundamentals series, this session equips you with the knowledge to build robust...
Large Language Model (LLM) refers to a class of Generative AI models that are designed to understand prompts and questions and generate human-like text based on large amounts of training data. LLMs are built upon Foundation Models which have a foc...
A Data Warehouse is an OLAP system, which serves as the central data repository for historical and aggregated data. A data warehouse is designed to support complex analytical queries, reporting, and data analysis for Big Data use cases. It typical...
A data pipeline refers to a series of connected tasks that handles the extract, transform and load (ETL) as well as the extract, load and transform (ELT) operations and integration from a source to a target storage like a data lake or data warehou...
The design and planning phase of a data engineering project is crucial for laying out the foundation of a successful and scalable solution. This phase ensures that the architecture is strategically aligned with business objectives, optimizes resou...