Technical articles on Data Lakehkusing engines

We are a database startup called [login to view URL] and we need to write articles comparing the architecture of our database with other popular analytical databases. We also need some articles related to our customer success and use cases. The objective here is to craft articles that spotlight and explain the differences in the architectural methodologies between our startup database, [login to view URL], and other well-known analytical databases - specifically Cassandra, BigQuery, Snowflake, and Redshift. Key Responsibilities: - Research, understand, and articulate the distinct approaches of [login to view URL] and the other specified databases - Translate complex concepts into clear, concise, and reader-friendly articles Ideal Candidate Should Have: - You need to have very deep expertise in databases and distributed systems. - Ideally, a Ph.D. or some deep research writing experience. Any conference publications in top conferences are a plus. - An understanding of database architectures - Prior experience writing technical articles for a technical audience - The ability to explain complex topics in an easy-to-understand manner - Knowledge about Cassandra, BigQuery, Snowflake, and Redshift will be a big plus. In the scope of this project will also be articles that focus on our customer successes and unique use cases. Your expertise should shine through in these articles as they are intended to engage technical experts, who are prospective users and proponents for AkashX.cloud. This assignment will require not just a knowledge of databases, but the ability to assay that knowledge in a compelling and comprehensible manner.