Data Warehousing

Increase Business Agility

Providing meaningful information and insights is what DSCallards do best. We unlock the potential of information and use it to implement data-centric strategies and solutions for our clients through our data warehousing service.

We live in a fast-paced, tech-driven world. For businesses and organisations, navigating the everchanging digital landscape can be a complex, and at times overwhelming, journey. Many modern organisations have vast qualities of data, which can be difficult to store and report on. Our data warehousing service uses a data model that can assist you and your business meet the challenges of modern data analytics, transformation, storage and reporting.

Key benefits include:

Designing specific structures that enable fast querying for business-centric reporting
Ensuring business requirements are met, and that reports are accurate and meaningful
The ability to document source and target systems correctly.
Assist with aid development
Ensure effective version control
Enhance understanding of your systems

Frequently Asked Questions

What does data warehousing allow organisations to achieve?

As the name suggests, a centralised data warehouse consolidates large amounts of data from multiple sources into a single, easily accessible format – or ‘warehouse’. As a result, data warehousing improves the speed and efficiency of accessing different data sets, which also makes it simpler for corporate decision-makers to glean insights that will directly impact their business and marketing strategies. As a result, data warehousing can help businesses stand out from competitors as well as assist in making important information more accessible.

What does ETL stand for in data warehousing?

Extract, transform and load, known more commonly as ETL, is a data integration process which brings together data from several data sources into a single, consistent data store. That information is then loaded into a data warehouse or other target system.

What is the purpose of data warehousing?

As the term implies, data warehousing allows businesses to combine vast swathes of data into a single location. As a result, data warehousing can increase the speed and effectiveness of accessing various data sets and make it easier for employees to derive insights that will directly influence business decisions and marketing strategies.

What are the types of data model?

There are four main types of data models in the data analytic sector – hierarchical, network, entity-relationship and rational.

Hierarchical model – In this kind of data model, the data is arranged into a structure resembling a tree with a single root. In this approach, the primary hierarchy starts at the root and grows like a tree, with child nodes that also grow in a similar way.
Network model – The network model is built on a flexible method for representing objects and the relationships that exist between them. The network data model is represented as a graph where relationships are represented by edges and items are represented by nodes.
Entity-relationship model – The entity-relationship diagram is used to describe the database structure using an ER model, which is a blueprint of a database. In the entity set, a relationship exists which can be shown using the ER diagram.
Rational model – In this data model, a collection of elements is gathered into relations using data tables. These interrelated tables are used to express the relationships and data. The table also contains numerous rows and columns, each of which represents an entity’s attribute. The rows in the table are used to represent records.