Kinesis to Parquet in minutes
Amazon Kinesis is a managed service offered by Amazon that aims to make it easy to collect, process, and analyze streaming data.
Kinesis is a popular choice for streaming backbones because it’s in the AWS ecostystem and relatively simple to set up compared to other data streaming options.
Apache Parquet is an open-source, column-oriented data storage format of the Hadoop ecosystem designed to provide fast querying on large datasets. Parquet is routinely used for creating very highly scaled data lakes that can still be queried. Parquet is similar to other column-storage file formats that are available in Hadoop.
Estuary helps move data from
Kinesis to Parquet in minutes with millisecond latency.
Estuary builds free, open-source connectors to extract data from Kinesis with millisecond latency, allowing you to replicate that data to various systems for both analytical and operational purposes. Kinesis data exists in a stream and often benefits from being organized into a data lake or warehosue for analytics with history.
Data can then be directed to Parquet using materializations that are also open-source. Connectors have the ability to push data as quicikly as a destination will handle. Parquet likes files that are around 1 GB each. So, if you have high data volumes, Flow can keep your data lake up-to-date in near real-time.