The world of data solutions has seen remarkable growth over the past few years, particularly with the rise of Lakehouse architectures. These innovative solutions combine the maturity of traditional data warehouses with the flexibility and versatility of modern data lakes. The result is a powerful, cost-effective solution that is driving the rapid expansion of modern cloud platforms like Microsoft Fabric and Azure Databricks.
But the question remains: should you build a Lakehouse?
Let’s dive in.
Why Lakehouse?
Lakehouse architectures are the next evolution of data management solutions. They leverage data lake technologies to store vast volumes of structured and unstructured data efficiently and cost-effectively. But a Lakehouse goes beyond just storage. It builds on top of data lake technology to offer robust data management capabilities.
These include support for Atomicity, Consistency, Isolation, and Durability (ACID), democratised access, flexible schemas, data governance, and compatibility with multiple advanced analytics solutions/languages.
A key feature of Lakehouse architectures is the separation of data storage from compute. This allows organisations to scale storage and processing power independently according to their specific needs, optimising costs in the process.
Why Should I Consider Building a Lakehouse?
If you are responsible for delivering value from data initiatives, understanding how Lakehouses differ from existing architecture patterns is crucial. The open technology standards and flexible pricing models often mean that experimenting with innovative approaches does not require a long-term commitment or an extensive business plan.
However, if you are deciding on the foundations of your data platform for the next five years or more, there are several factors to consider before making the leap. These include your existing data sources, architectures, technology strategies, team skills & culture, current and future business objectives, data maturity across all data management capabilities, and security and governance requirements.
Best practices for Lakehouse architectures are evolving rapidly. This means organisations need to be ready to stay abreast of innovations in this area. This often requires significant investment in upskilling and continuous learning for your teams.
How Can Arreoblue Help?
At Arreoblue, we understand the challenges associated with adopting new data solutions. We are committed to helping organisations navigate them effectively. We offer a tailored approach to each organisation’s unique needs and circumstances, providing the following services:
- Assess: We meet you where you are and help you define your next best steps.
- Accelerate: We speed up your data projects to deliver business value quickly and ratify strategic choices.
- Amplify: We amplify the impact of your data projects, driving increased returns on your investment.
In conclusion, while building a Lakehouse can offer powerful benefits, it is essential to carefully consider whether it aligns with your organisation’s specific needs and capabilities. With the right guidance and support, however, a Lakehouse could well be the key to unlocking new levels of insight and value from your data.
About Arreoblue
Arreoblue is a Data Analytics Consultancy specialising in the rapid execution of data projects from concept to delivery. Focusing on Financial Services, Retail and manufacturing, we help our clients become data-driven and make more effective decisions through data. Our commitment is to deliver fast Time to Value. This ensures that value is clear and thoroughly understood, leaving our clients with a platform for success they can continue to build upon. Want to find out more? Contact one of our experts today to see how we can create your bespoke solution!