Data Wrangling- A Goliath of Data Industry

Abstract

Analyzing data in any industry along with the prospect of smartly utilizing data through special technology brings with it an ocean of opportunities. Nonetheless it is cumbersome task to modify and collect data as expected by the user. Data cleaning's importance cannot be overstated enough but it takes a lot of precious time and important resources. Data Wrangling is much more than just modifying and cleaning data and provides user the benefit of interactive and an efficient data. It is a method in which we have data identification, extracting, cleaning and integrating data for a dataset which would be analyzed as needed. Even though tools are in abundance, but software solutions are being a rarity. We have keenly discussed about the various aspects of data wrangling, munging data. There is a wide variety of ETL tools and mediums, but it needs manual effort in presence of technical experts for every step in the process. We start by the topic overview with the present issues, tangible mutual commands along with a discussion on software resolutions, various methods.