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- Database Modernization (76)
- Database Optimization/Tuning (31)
Failover Clustering setup in Postgres
High availability for PostgreSQL can be achieved through several architectures. While tools like Pat...
Disaster Recovery setup in Postgres
High availability and disaster recovery capabilities are essential for any production-ready database...
Seamless CI/CD with Azure DevOps and Databricks: Automating Data Engineering Workflows
As your data projects grow, handling code changes manually can quickly become slow, messy, and<span ...
Understanding the Difference: Generative AI and Large Language Models
Generative AI vs. LLMs You’ve likely heard a lot about AI lately, especially with tools<span c...
The Rollup Revolution: Druid vs. Modern Analytics
Introduction: The Aggregation Challenge in Modern Data Ecosystems In today’s complex data land...
Understanding Apache Iceberg: The Architecture and Features
Introduction to Iceberg Table Imagine you have a huge library of books, but the card<span class="exc...
Why Druid’s index_parallel is the Future of Batch Ingestion
Batch ingestion in Druid has evolved significantly. While index_hadoop was once the go-to for large<...
Druid Ingestion Methods: A Deep Dive into Batch Ingestion
Druid has emerged as a powerful real-time analytics database, designed for fast slice-and-dice analy...
Using Azure Data Factory to Copy SharePoint List Data to Blob Storage
Before integrating SharePoint with Azure Data Factory to move data into Azure Blob Storage, it<span ...
Streamlining Data Ingestion with Databricks Auto Loader
In a world where data is constantly pouring in from all directions, getting that data<span class="ex...
Enhancing Resume Quality with Intelligent ATS Screening Techniques
In today’s fast-paced hiring environment, resume screening plays a critical role in identifying th...
Building a Smart Food Calorie & Nutrition App Using Google Gemini Pro Vision API
In today’s health-conscious world, understanding what we eat is crucial for maintaining a balanced...