Data Engineering

meaningofdaat

Brief of Data Engineering

We create meaningful business data that shows a varieties of insights through different slices & dices. We create new fresh data set according to business requirements as per industry or industry standard. We refine existing data. Created or refined data is used in various purposes, it is used as input to machine learning or machine or human in day to day decision makings.

Data formation starts with collecting data from various sources, and doing the following operations on it,

  • Summarize Data by exploratory analysis.
  • Working on delimiters.
  • Handling missing values.
  • Creating dummy  variables.
  • Visualizing resultant data set by basic plotting.
  • Identifying basic statistics on resultant data.
  • Data Wrangling.
    • Sub-set a data set.
    • Generating random numbers.
    • Aggregating data – Filtering and Grouping.
    • Sampling data.
    • Merging/appending/concatenating data sets.

Once refined data is available, data is mapped with industry specific norms and sanity checked is done by the client. Once data is accepted according to fulfilling business purposes. 

We are reinventing ourself to a better version, stay tuned!

You can please schedule meeting for knowing in the detail about any individual platform and service or can ask for presentation at the contact details.