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Next-gen ETL/ELT data delivery

Download the whitepaper to learn about “eETL”, a patented entity-based ETL approach to pipelining data – from any source, to any data lake, including Snowflake, Google BigQuery, Amazon S3, and Redshift.

This paper reviews the most common methods used for creating and preparing data for analytical workloads, and discusses the pros and cons of each approach.

eETL is unique in:

  • Overcoming the complexities of ETL and ELT
  • Continuously delivering clean, complete data in real time – at any scale
  • Automating and productizing data pipeline flows
  • Supporting both analytical and operational workloads

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Experience the power and flexibility of the K2View platform with a 30-day trial.

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Data Preparation Hub
from self-service to automation

K2View Data Preparation Hub enables data teams to deliver up-to-date, high-quality, complete, and trusted data for analytics. 

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