-
Data Hub with real world implementation, challenges, pros and cons
Definition: A Data Hub is a centralized, organized repository for storing, managing, and processing data from various sources across an organization. It acts as a hub for data integration, enabling… Read more
-
What is Data Fabric? what are its components, examples, pros/cons with detailed Realtime scenario
Definition: Data Fabric is a distributed data management framework that allows organizations to seamlessly integrate, access, and manage data across various locations and environments. It provides a unified and consistent… Read more
-
Data Mesh and its Pros and Cons detailed
Definition: Data Mesh is a concept introduced by Zhamak Dehghani, a principal consultant at ThoughtWorks, to address challenges in managing and scaling data in large organizations. It is an architectural… Read more
-
Database Normalization with different Normal Forms- Explained with simple example
Database normalization is a process used in designing a relational database to reduce data redundancy and dependency by organizing fields and table of a database. The normalization process involves breaking… Read more
-
Star, Snowflake and Galaxy Schema in Datawarehouse with examples
Star, snowflake, and galaxy schemas are three common data warehouse schema designs used for organizing and structuring data for efficient querying and reporting. 1. Star Schema: 2. Snowflake Schema: 3.… Read more
-
Types of Data Modeling with Purpose, Use case and Example
Data modeling is a process used to define and organize data requirements for a system or business process. It involves creating abstract representations of the data and its relationships to… Read more
-
ETL vs ELT with detailed use case and scenarios
ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) are two different approaches to data integration and processing. Each approach has its own set of use cases and scenarios, and… Read more
-
Top 10 Data Engineering Skills in 2024(with detailed Usecase and Scenario)
1. Cloud Computing (AWS, Azure, GCP): Mastery of cloud platforms like AWS, Azure, or GCP, involving the creation, deployment, and management of scalable and resilient data solutions in a cloud… Read more
-
Full Load vs Incremental Data Load
Full Load and Incremental Data Load are terms used in the context of data warehousing and ETL (Extract, Transform, Load) processes. Full Load: Analogy- Imagine you have a library of… Read more
-
Top 10 Data Engineering Trending Topics 2024
1.Real-time Data Processing: Real-time data processing has become a cornerstone in modern data engineering, responding to the increasing need for instant insights in a rapidly changing business landscape. This trend… Read more
Blog
From the blog
About the author
Sophia Bennett is an art historian and freelance writer with a passion for exploring the intersections between nature, symbolism, and artistic expression. With a background in Renaissance and modern art, Sophia enjoys uncovering the hidden meanings behind iconic works and sharing her insights with art lovers of all levels.
Get updates
Spam-free subscription, we guarantee. This is just a friendly ping when new content is out.
The DATA CHANNEL 