Collect Parquet data into your data warehouse or ours. The Matatika pipelines will take care of the data collection and preparation for your analytics and BI tools.
Parquet is a columnar storage format for Hadoop.
Parquet is a software tool that provides a columnar storage format for Hadoop, allowing for efficient and optimized processing of large datasets. It is designed to work with a variety of data processing frameworks, including Apache Spark, Apache Hive, and Apache Impala, and supports a wide range of data types and compression algorithms. Parquet is particularly useful for data analytics and business intelligence applications, as it enables fast and efficient querying of large datasets, while minimizing storage and processing costs.
The date from which to start retrieving data.
The location of the Parquet file to connect to.
Extract, Transform, and Load Parquet data into your data warehouse or ours.
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