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Anonymizing unstructured data like medical records or legal documents is much harder than with structured data. The primary challenge is identifying sensitive information (PII) within free-form text, which can be obscured by jargon, abbreviations, and OCR errors. This guide explores the viable approaches, from simple rule-based systems to advanced Machine Learning and hybrid models.
Traditional data warehouses are hitting their limits, but complete overhauls aren't always the answer. Through the lens of our recent case study, discover how incremental Data Vault implementation can deliver dramatic improvements without disrupting operations. From 98% faster processing to flexible business rules, learn practical approaches to modernization that you can start implementing today.
Automated Databricks provisioning on Azure with Terraform and Python scripts—transitioning from PoC to production, overcoming challenges, optimizing deployment.
Open-source solution unifying data and AI governance across platforms, from the perspective of a data intelligence engineer.
Facing a data deluge in your retail business? Adopt the Modern Data Stack for effective data management. See Hiflylabs' solutions in action!
We will discuss the importance of temporal data validity management and how to handle late-arriving data to prevent butterfly effects in Data Warehouses.
Explore the Data Mesh model in layman’s terms: a decentralised strategy for improved management and scalability. Empower each department with control and access to their own data!