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Data Warehouse
A data warehouse is a collection of stored data resources that are designed for use in analysis and business intelligence applications. The term data warehousing refers to the development of these dat...
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What Is a Data Warehouse
Understanding the concept of data warehouses and how they differ from data lakes and databases Continue reading on Towards AI
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Building a Data Warehouse
In this story, I would like to talk about data warehouse design and how we organise the process. Data modelling is an essential part of data engineering. It defines the database structure, schemas we ...
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Choosing Snowflake vs. SQL Server for a Data Warehouse ️
When it comes to building a data warehouse, the choice of the right technology is crucial for the success of the project. Continue reading on Level Up Coding
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Data Warehousing.
Most of the time data warehouses are confused with a database. Unlike a database, data does not originate in a data warehouse. It is sourced from different information and management systems. In most…...
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Data warehouses: the practice
In an ideal world, the gap between theory and practice is not big or at least not of big impact on the lifecycle of a project. However, in the real world, in particular when working with data, one…
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Comprehensive Guide to the Data Warehouse
Achieving the goal of creating a data warehouse as a repository of analysis-ready datasets requires planning and optimization.
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What is a Data Warehouse: Basic Architecture
A Data Warehouse is a component where your data is centralized, organized, and structured according to your organization's needs. It is used for data analysis and BI processes.
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Data Warehouse vs Data Lake vs Data Lakehouse
Important concepts explained in a simple way Continue reading on Level Up Coding
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What is a Data Warehouse, when and why to consider one
The term “Data Warehouse” is widely used in the data analytics world, however, it’s quite common for people who are new with data analytics to ask the above question. This post attempts to help…
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Modern Data Warehousing
In this story, I will try to shed some light on the benefits of modern data warehouse solutions (DWH) compared to other data platform architecture types. I would dare to say that DWH is the most popul...
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Data warehouses: the theory
We have reached a point in the field of data that keeping up with the different technologies and the different steps of using and processing the data has become like a job itself; applying them to…
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The Fundamentals of Data Warehouse + Data Lake = Lake House
With the evolution of Data Warehouses and Data Lakes, they have certainly become more specialized yet siloed in their respective landscapes over the last few years. Both data management technologies…
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How I Organize My Snowflake Data Warehouse
The databases, schemas, and tables where you should store your data Continue reading on Towards Data Science
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Data Warehouse Concepts; Architecture; Data Warehouse vs Database; OLAP vs OLTP
Data Warehouse Concepts; Architecture; Data Warehouse vs. Database; OLAP vs. OLTP Data Warehouse is an information system that contains historical and commutative data from single or multiple sources...
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Data Warehouse Design Patterns
I needed a data warehouse tool for my new data project recently. This story is about how I built it from scratch and organized everything in it. Designing a data platform is not a trivial task and oft...
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Comprehensive Guide to Data Warehouses
Everything you need to know including a comparison to Data Lakes Continue reading on Towards Data Science
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Part I-I : Data Warehouse Modelling Concept
Why do we need to load the data into database? Why not store our data in files instead of a database and analyse it from the files? To replicate the business process from an ecommerce, we will need…
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Building a Data Warehouse: Basic Architectural principles
Data Warehousing theory has a lot of useful resources. However, such a large amount of resources sometimes can be overwhelming — or at least it was for us when we started to build our data warehouse…
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Data Warehouse and OLAP
What is a data warehouse exactly? Simply it is a decision support database that is maintained separately from the organization’s operational database. And it is a repository of information collected…
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Fundamentals of Data Warehouses for Data Scientists
For data scientists, machine learning models and visualization packages are essential tools. But more importantly, data scientists rely on data and data infrastructures to do their analytics and…
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Optimize Data Warehouse Storage with Views and Tables
The difference between tables and views and how to use them Continue reading on Towards Data Science
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Data Warehousing Schemas
Example: Star Schema, Snowflake Schema, Fact Constellation Schema Continue reading on Analytics Vidhya
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Data Warehouses for Distributed Applications
Most businesses these days have their own internal software system that digests, analyzes, and manages information related to the operations of the business. For example, in retail, in-house software…...
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