{Blog}

Key Considerations for Data Ingestion into the Data Lakehouse

Key Considerations for Data Ingestion into the Data Lakehouse

For organisations building Data Lakehouse platforms, an important consideration is defining a structured approach to designing data ingestion patterns, encompassing best practices for each data workload that is ingested into the Data Lakehouse environment. This is...

Decoding Data Mesh: A Technical Exploration

Decoding Data Mesh: A Technical Exploration

In the ever-evolving landscape of data management, traditional centralised approaches often fall short of addressing the challenges posed by the increasing scale and complexity of modern data ecosystems. Enter Data Mesh, a paradigm shifts in data architecture that...

Harnessing the Power of the Data Lakehouse

Harnessing the Power of the Data Lakehouse

As organisations continue to collect more diverse data, it is important to consider a strategic & viable approach to unify and streamline big data analytics workloads, ensuring it is optimised to drive data-driven decisions and enable teams to continue innovating...