Prophecy: How Low-Code Data Engineering can 10x Productivity on the Data Lakehouse
A data lakehouse represents a powerful evolution in the field of data management and analytics.
A hybrid approach that combines the best features of data lakes and data warehouses, lakehouses address many of the shortcomings of both.
In a data lakehouse, data is stored in its raw and untransformed form, similar to a data lake. This raw data is typically collected from various sources, such as databases, streams, files, and external APIs. However, what sets a data lakehouse apart is its ability to organize and manage this data efficiently, making it readily accessible for analysis and reporting.
In this episode of the EM360 Podcast, Analyst Kevin Petrie speaks to Maciej Szpakowski, Co-Founder at Prophecy.io, to discuss:
- Data lakehouses and the benefits they can produce
- Challenges data teams encounter when integrating on lakehouse platforms
- Implementing generative AI in your data strategy
- How Prophecy’s visual, low-code data solution democratizes data engineering
