This is the next installment on my quest to read and help understand interesting papers in the data space.

• Data
• Presto
• Data Papers

A new entry on the data papers series. Ray is a distributed framework for next generation AI applications. What does this mean? A scam? Blockchain on AI? Nah, it’s actually pretty cool, it has actors.

• Data
• Python
• Data Papers
• Ray

It has been a while since my previous data paper. This time I tackle a less known one.

• Data
• Data Papers
• Apache Druid

Lakehouse is the brand name for the underlying architecture of Databricks' Delta Lake: A data lake that is as performant as a data warehouse.

• Databricks
• Data
• Hive
• Data Papers
• Apache Spark

Hive is arguably old. It is also undoubtedly useful, even now: 10 years after it was introduced.

• Data
• Hive
• Data Papers
• Apache Spark

This is the next instalment on my quest to read and help understand interesting papers in the data space.

• Data
• Databricks
• Data Papers
• Apache Spark

After reading the Snowflake paper, I got curious about how similar engines work. Also, as I mentioned in that article, I like knowing how the data sausage is made. So, here I will summarise the Delta Lake paper by Databricks.

• Data
• Databricks
• Data Papers
• Apache Spark

I didn’t know much about Snowflake, so I decided to have a look at its SIGMOD (ACM Special Interest Group on Management of Data) paper and investigate a bit more what special capabilities they offer, and how they compare to others.

• Data
• Data Papers