Learn to integrate Semantic Kernel with Azure OpenAI and MCP to discover tools, register them as functions, and enable AI agents to invoke them dynamically.
This article explores the journey of building SQLGenie, testing various Language Models (LLMs) to find the optimal solution for converting natural language to SQL queries
Learn to build a secure GCP stack using a custom VPC, VM with private access, managed Cloud SQL PostgreSQL, and BigQuery for real-time federated queries.
Prompt-based ETL uses LLMs to convert plain English into validated, schema-aware SQL, automating data transformation and enabling self-serve analytics.
Learn how to set up a zero-ETL integration from Amazon RDS for MySQL to Amazon Redshift using AWS CLI for real-time analytics without complex pipelines.
We share how we built a secure, compliant cloud on Azure for healthcare clients using native services like RBAC, CMK encryption, and policy enforcement.
With the performance of VMs rapidly increasing, is weighing the benefits of containers running on VMs versus bare metal as straightforward as it used to be?
Unlock the potential of your data strategy. Discover how EMRFS and HDFS can optimize big data processing on Amazon EMR. Make an informed choice for success.
Real-time pipelines sound great — until you're buried in Kafka ops, broken joins, and silent delays. Here's what actually works, and when simpler tools win.