SQL Server Dynamic Data Masking helps protect sensitive data by obscuring it from non-privileged users, ensuring compliance with GDPR, HIPAA, and PCI-DSS.
PostgreSQL table partitioning divides large tables into smaller segments to boost query performance, simplify maintenance, and enable scalable data management.
Kafka is a famous technology with a lot of great features and capabilities. This article explains Kafka producer and consumer configurations best practices.
The article provides an overview of Spring Boot starters, which are pre-packaged sets of dependencies that simplify adding functionality to Spring Boot applications.
Why are DQ checks critical for every data pipeline, and what are some of the different types of DQ alerts you can set up to enhance the reliability of your pipeline?
This guide breaks down the SOC 2 Type 2 certification process into practical steps, from preparation to the audit, with some tips and tools to make the journey smoother.
Apache Spark is a fast, open-source cluster computing framework for big data, supporting ML, SQL, and streaming. It’s scalable, efficient, and widely used.
Up to 70% of prompts in LLM applications are repetitive. Prefix caching can reduce inference costs by up to 90%, thus optimizing performance and saving money.
Pydantic is a powerful Python library that uses type annotations to validate data structures. Learn about the powerful features of Pydantic with code examples.
February 3, 2025
by Vidyasagar (Sarath Chandra) Machupalli FBCS
CORE
Minimize data loss and business disruption by implementing high availability and configuring disaster recovery for Loki with AWS S3 as the object store.
In some cases, one cannot store user-sensitive data permanently. Let's create a simple application that handles sensitive data leveraging Spring and Redis.