A data warehouse is a system used to strategically organise data for it to be used for data reporting and analysis purposes. Well-architected data warehouses can provide a wealth of benefits to organisations that deal with large volumes of varied data. Data warehouse adoption is the most popular data solution as highlighted by Trust Radius. […]
Read More… from Data warehouse architecture – what you need to know
There are quite a few different data warehouse technologies to choose from, and knowing where to start, what to look for, and what data warehouse service is going to be best for your business is key. Deciding on a data warehousing technology that is suitable to your business needs, goals and objective is essential as […]
Read More… from Data Warehousing Architecture: Azure SQL vs Redshift
Cloud technology and advances in hybrid-storage technologies have meant that data storage is no longer left entirely to internal equipment and a single company-owned server. Finding a database management solution that works with the size and scale of your needs is not a task to be overlooked. […]
Read More… from Data Warehouse vs Database: The key differences
Data visibility can be a huge driving factor for organisation growth. Poor data visibility can lead to a lack of compliance with data security, difficulty in understanding business performance and increased complexity in dealing with system performance issues. Developing secure, robust and scalable data pipelines can empower businesses to gain data visibility by connecting the […]
SQL Database is a collection of tables that stores a specific set of structured data. A database schema is a blueprint of the database, it essentially lays out and describes the relation of the data to other tables or data models and how it is organised. […]
Read More… from Optimising SQL server schema – what you need to know
When utilising cloud services and data warehouses, the relationships of your data forms will lead to the creation of a database schema. Simply put, a schema is an abstract design which represents the storage of the data in the database – the term applies to both the organisation of the data and how the tables […]
Read More… from What is schema optimisation and why do you need to optimise your schema
Migrating your data can be a complex and challenging process especially if you are dealing with large volumes of varied data. Therefore, it is vital to understand the key benefits and limitations of the destination platform of your data. […]
Read More… from Oracle to Redshift data migration and what you need to consider
Organisations will look to migrate their data for a number of reasons such as, overgrowing existing data infrastructure and platform, budget and costs and evolving data with evolving requirements. Data migration can be a costly and complex process, therefore it’s imperative to consider your options before choosing the right technology and platform for your data. […]
Read More… from Migrating Data from Redshift to Azure: What you need to know
On average for a data migration project, costs overrun by 30% and time overruns by 41% as highlighted in a report by Oracle. Most data migrations fail to be completed within time and budget for a number of reasons including the understanding of the quality of data, lack of sufficient data governance and thinking that […]
Read More… from Migrating data – how to plan your data migration
Are you looking to migrate your data? Is it because your data has outgrown your existing systems or do you want to centralize your data? Whatever, the reason behind your decision, data migration can provide incredible benefits to organisations ranging from improved data performance, collated information, and data set, reduce long terms costs and increase […]
Read More… from Data migration strategies – Trickle Vs Big Bang
