Combine Apache Spark’s data processing with Drools’ rule engine to automate loan approvals based on credit scores, using a scalable, rule-based approach with Scala.
This article explains how we can improve the existing cloud, microservices architecture on a project to make it more robust and powerful for all of today’s challenges.
Use distributed tracing—the key third pillar of observability—to track requests across microservices and turn debugging from guesswork into precise insights.
Explore how PostgreSQL handles large data using TOAST and improves query speed with indexes like B-tree, GIN, and BRIN, cutting query times by over 90%.
Optimize your Snowflake data warehouse for speed, cost, and scale with practical tips on query tuning, resource management, and efficient data practices.
This guide shows how to move from a monolith to containers: containerize the app, split services gradually, adopt Kubernetes, automate with CI/CD, and modernize.
Multimodal AI models are finally enabling powerful analytics while preserving privacy, proving you can have cutting-edge AI without sacrificing data security.
Learn how to identify and repair damaged tablets in Apache Doris using built-in tools. Covers replica validation, recovery steps, and handling missing rowsets.
Copilot in Power BI is a powerful tool, but it heavily depends on how well the data model is created and the clear metadata description of tables, columns, and measures.
Explore the evolution of big data, from Hadoop to cloud-native platforms like Snowflake, and learn how specialized skills shape this thriving industry's future.
Explore caching basics, common problems, eviction strategies, tools like Redis and Memcached, and best practices for optimizing system performance effectively.
Learn how to automate PII tagging, metadata management, and SQL lineage tracking with GPT-4, OpenMetadata, dbt, Trino, and Python for smarter data governance.