No one likes challenges. Especially those coming from data housing environments, data access and data controls. What if one single tool can authorize access to files on an object store, like Amazon S3 through attribute-based access control (ABAC)?

Enter OkeraEnsemble: a combination of our world-class SQL data protection with direct file access, using a unified vendor-agnostic policy management system.

But wait, there’s more! Click below to learn and understand:

The Need For File Access Control
Introducing OkeraEnsemble
How OkeraEnsemble Can Help Your Organization
Okera sees industry challenges and delivers users with a best-in-class collaborative solution that offers control, simplicity, centralization and visibility. Register to download this whitepaper now.

Written by Alex Tokarev, Senior Director of Product at Okera.

Alex Tokarev has over 25 years of experience in developing and delivering high-scale big data analytics, operational intelligence, machine learning, and decision optimization solutions in the U.S. and international markets. Before joining Okera, Alex served as the Senior Director of Product Management at Clarabridge (acquired by Qualtrics), an industry-recognized AI-powered Customer Experience Management SaaS platform. Before that Alex was the Head of Product Management at Zoomdata (acquired by Logi Analytics), a business intelligence software company, specializing in Big Data and Real-time Streaming Analytics.

It is important for everyone in an organization to use data responsibly. This playbook offers guidance on how to format data to protect confidential, personally identifiable, and regulated data from being inappropriately accessed for various use cases. By de-identifying personal identities from being revealed, you can preserve the privacy of your customers, employees, and partners.

Learn how you can accelerate data safely and securely with dynamic data access policies. This paper will dive into:

What is Data De-Identification?
How to De-Identify PII to Speed Time-to-Insight for your Analysts
De-Identification for Data Analytics
Identify Trends with Partially Tokenized or Masked Data
Format Preserving Tokenization
Non-format Preserving Tokenization
Partial Masking
And more…
Implementing data de-identification with a dynamic policy enforcement solution such as Okera is not hard. By taking a practical approach to data de-identification, you will be more effective and your job will be much easier.