In his article on OMR Reviews, our CTO, Simon Müller, sheds light on the advantages and possible applications of data lakes. These modern data storage solutions enable companies to store large volumes of raw data in different formats flexibly and efficiently. Compared to data warehouses, data lakes offer greater flexibility and scalability, making them particularly suitable for exploratory analyses, machine learning and AI applications.
Simon describes the differences between data lakes, data warehouses and hybrid data lakehouses in detail. He also provides insights into the challenges of implementation, for example in terms of data quality and governance, as well as practical recommendations on how companies can get the most out of their data lakes.
The article also provides an overview of technologies such as Apache Spark, Snowflake and AWS Data Lake Formation that help organisations build and manage their data lakes. In conclusion, Simon emphasises that data lakes are a central component of modern data architectures that help companies make data-driven decisions and secure long-term competitive advantages.
Read the full article here: To the article on OMR Reviews
