Cloud data-warehouses for SQL analytics, revolution or evolution? (Internship/Master Thesis)

The objectives of this internship include:

• Create a big data SQL benchmark based on public datasets (e.g., GDELT, CitiBike)
• Experiment and measure performance of SQL query (Snowflake, BigQuery, Presto/Trino)
• Compare to competing offerings like data lake engines (e.g., Dremio, Databricks SQL Analytics) or SQLon-Hadoop engines (e.g., Impala, Spark SQL)
• Provide an assessment of the strengths and weaknesses of each solution
• Issue recommendations for target use cases

Join our team as intern and you will find a young, dynamic and culturally diverse working environment.

• Strong interest in SQL and query engines
• Knowledge of the fundamentals of data management and system architecture
• Knowledge of cloud service deployments (AWS or GCP)