Due to the currently health concerns around COVID-19, this session will be an online tech talk.
Please RSVP at: https://databricks.zoom.us/webinar/register/WN_CTn3sAtBTa-QOh3NLly44Q
Due to the Governance Risk Compliance (GRC) coming front and center for many data organizations - how do you address this for your Apache Spark and Big Data workloads?
The General Data Protection Regulation (GDPR) and the California Consumer Privacy Act of 2018 (CCPA) both aim to guarantee strong protection for individuals regarding their personal data and apply to businesses that collect, use, or share consumer data, whether the information was obtained online or offline. This remains one of the top priorities for the companies to be compliant with Data Subject Requests (DSRs). Companies are spending a lot of time and resources on being GDPR and CCPA compliant.
For many organizations that rely on data lakes to store their big data, sifting through millions of files to locate and modify records for a DSR is a massive effort and trying to do this within prescribed timelines is near impossible. In some cases, violators of the GDPR may be fined up to €20 million or up to 4% of the annual worldwide turnover of the preceding financial year in case of an enterprise, whichever is greater.
Fortunately, there is a path forward. Through an optimized approach to data management, Delta Lake, created by Databricks and powered by Apache Spark, makes it easy to quickly find, edit, and erase data submerged deep within your data lake without disrupting your data pipelines.
Join our talk to learn:
- The GDPR and CCPA requirements of data subject requests.
- The compliance challenges big data and data lakes create for organizations.
- How Delta Lake, a powerful offering by Databricks, improves data lake management and makes it possible to quickly find and surgically remove or modify individual records.
- Best practices for GDPR data governance.
- Demo on how to easily fulfill data requests with Delta Lake and Databricks.
Speaker: Vini Jaiswal, Customer Success Engineer, Databricks
Vini works as a Customer Success Engineer at Databricks and has been with the company from over a year and a half. Before Databricks, she worked at Citigroup as a Lead Analytics Engineer. Vini completed her Masters in Information Technology and Management from the University of Texas, Dallas.
Vini has extensive experience in the Data Science and Analytics space. In her current role, she works with the companies across various Industry sectors - Finance, Media, Retail, Gaming, Tech, Healthcare and Autonomous to solve the toughest data problems and strategize on impactful use cases and solutions offering for consumers by leveraging the power of data.