What’s the difference between a data lake and a data warehouse?
Data lakes keep and support all data types, including unstructured data such as videos. A data warehouse focuses on structured data for a specific user base. It is generally geared towards analytics for business decisions.
Should we build our data platform on-premise or in the cloud?
The cloud offers a range of benefits, but every business has different priorities. We offer the right solution for your business and provide a range of cloud-based solutions, on-premise, or a mixture of both.
How can my organisation get rid of data silos?
A data silo is a set of isolated data that is difficult to process for decision making. It's important to have a clear data strategy to:
- Unify data management systems
- Change the company culture towards a shared data approach
- Identify data integration capabilities
- Prevent the accumulation of data silos
- Set clear guidance and data governance.
How important is data quality?
There are several benefits associated with data quality including:
- Data accuracy
- Completeness of data
- Data relevancy
- Data validity
- Timeliness of data
- Data consistency.
How long does it take to set up a modern data platform?
Data preparation accounts for around 80 per cent of the work. Building a modern data platform is a long-term initiative. Requirements and the ecosystem will be a moving target. It's important to have a roadmap that reflects a direction and defines milestones for small wins along the way. It’s a good practice to review the roadmap often. It will help the initiative stay on top of targets, reset expectations, and mitigate risks.
What is a data architecture?
A data architecture defines the processes to capture, transform, and deliver usable data to users.