Delta is pretty great, let's you do upserts into tables in DataBricks much easier than without it. I think the website is here: https://delta.io. - Source: Hacker News / 5 months ago

Apache Iceberg is one of the three types of lakehouse, the other two are Apache Hudi and Delta Lake. - Source: dev.to / 6 months ago

The Apache Spark / Databricks community prefers Apache parquet or Linux Fundation's delta.io over json. Source: 6 months ago

Databricks provides Jupyter lab like notebooks for analysis and ETL pipelines using spark through pyspark, sparkql or scala. I think R is supported as well but it doesn't interop as well with their newer features as well as python and SQL do. It interfaces with cloud storage backend like S3 and offers some improvements to the parquet format of data querying that allows for updating, ordering and merged through... - Source: Hacker News / 12 months ago

Structured, Semi-structured and Unstructured can be stored in one single format, a lakehouse storage format like Delta, Iceberg or Hudi (assuming those don't require low-latency SLAs like subsecond). Source: about 1 year ago

Try using https://nosqlbooster.com/ and going through the tutorials or snippets or example there, I found that has helped me a lot in terms of learning mongo. Source: over 2 years ago

NoSQLBooster is a shell-centric GUI with a broad range of features that come with a paid license. The free tier is missing many of the features that make this GUI so great, like code completion and the visual query builder. NoSQLBooster does not work through a subscription model, so once you pay for a license, it’s yours forever (or until you want to update your version). - Source: dev.to / about 3 years ago