Apache Parquet VS Impala

Apache Parquet mentions (19)

• [D] Is there other better data format for LLM to generate structured data?

  The Apache Spark / Databricks community prefers Apache parquet or Linux Fundation's delta.io over json. Source: 5 months ago

• Demystifying Apache Arrow

  Apache Parquet (Parquet for short), which nowadays is an industry standard to store columnar data on disk. It compress the data with high efficiency and provides fast read and write speeds. As written in the Arrow documentation, "Arrow is an ideal in-memory transport layer for data that is being read or written with Parquet files". - Source: dev.to / 11 months ago

• Parquet: more than just "Turbo CSV"

  Googling that suggests this page: https://parquet.apache.org/. Source: about 1 year ago

• Beginner question about transformation

  You should also consider distribution of data because in a company that has machine learning workflows, the same data may need to go through different workflows using different technologies and stored in something other than a data warehouse, e.g. Feature engineering in Spark and loaded/stored in binary format such as Parquet in a data lake/object store. Source: about 1 year ago

• Pandas Free Online Tutorial In Python — Learn Pandas Basics In 5 Lessons!

  This section will teach you how to read and write data to and from a variety of file types, including CSV, Excel, SQL, HTML, Parquet, JSON etc. You’ll also learn how to manipulate data from other sources, such as databases and web sites. Source: about 1 year ago

Impala mentions (0)