Submit a talk on data

Submit talks on data engineering, data science, machine learning, big data and analytics through the year – 2019


How to eat an elephant?

Submitted by Sampriti Das (@sdas2112) on Friday, 4 May 2018

Technical level: Beginner


Target Corporation is a global retail organization, has around 1800 stores & a digital presence, with over 350k team members. Given the scale and scope of the organization, it is even more important to have appropriate automated management of data in place. In this paper, we would share a story about how an ETL process, primarily used for Target’s Identity and Access Management (IAM) governance work, was automated. This did not only yield benefits from automation standpoint, but also saw analysts integrate into the engineering culture. Like for any product, the creative mind set continues to bring in innovative solutions/enhancements.

• To support our internal and external compliance requirements, it is imperative to be able to scan and get accurate and complete data for all in scope end points, be it infrastructure, applications, tools. • Extraction, Transformation, Load commonly known as ETL is a known process in data warehousing, responsible for pulling data out of source systems, transforming the data into an accepted format and then placing into a data warehouse. • ETL initially was a 100% manual process. Due to the sensitivity of the usage of this data, there is a high significance on the accurate, error free and timely delivery of this process. Because this complicated process is highly human dependent and real-time accuracy is critical, it was a natural contender for automation.

The approach:
• Hear how we moved from a manual to automated system while supporting continuous learning opportunities in new areas of work and making a difference. • The answer was simple but not easy “Get the team that was operationally working like a human factory, trained on the new open source tool”. How to eat an Elephant? Bite by bite! • The transformation had to be first brought in within the mind set to accept the change. Only an empowered and motivated team member can share the same vision and drive for results. This made it easier to tackle the technical aspect. This served our purpose very well. o We identified 4 areas of focus for us:
 Being BOLD  Being ACCOUNTABLE  Being ONE team  Being CURIOUS The Results: With a strong focussed application of the above solutions, the team did not just meet the goal but went on to complete the project with a quarter to spare. This encouraged and enabled the team to head start on more automation projects.
• What worked and why? • Challenges and learnings • How do you sustain? What keeps it going? • Next plan


Problem Statement
Approach to Solution
What worked

Speaker bio

Sampriti Das, Lead Information Security Analyst
Sampriti Das has been with Target for the last 3+ years and has close to 10 years of overall work experience.
Ms Das is currently serving as an Information Security Analyst in Target, wherein her role primarily is associated with compliance and governance within Identity and Access Management. In her current role, she is also involved with projects around automation in the Identity and Access Governance area.


  • Zainab Bawa (@zainabbawa) Reviewer a year ago

    We need slides and preview video to evaluate this talk. Upload the same by or before 28 May.

  • bovave (@bovave) 2 months ago

    Hi there, Are you a Home Depot employee? Do you need help logging into your
    account? Then this article is tailor-made for you.

Login with Twitter or Google to leave a comment