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Data Engineer

Challenges with Data Engineer

  • Lot of backlog of work from BI users, Data Scientists and Business teams
  • All the data engineering tools are time consuming, it takes lot of time to develop and test even a simple data pipeline
  • Documentation is an additional task
  • Learning ETL tool currently used by their client/company is also an additional task
  • Lack of standardization between various data engineers who are involved in the development

With Ask On Data

  • Can type and create pipelines, hence can deliver much more quickly
  • No need to learn new tools, zero learning curve here.
  • Documentation automatically happens
  • Standardization of the tasks
  • Ability to write new or edit AI generated SQL, YAML file as well as write new Python code. These options can allow more custom control as well as handle more difficult use cases.
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