Yeedu Blogs

Deep dives into cloud efficiency, data engineering, and platform scalability. Learn from real-world experiences and expert perspectives shaping the future of data operations.

Blogs
Team
Multi-Cloud Spark Orchestration with Airflow
Multi-Cloud Logging Without Blind Spots | Yeedu
Smarter Spark Cluster Autoscaling With Yeedu
Seamless Glue, Hive & Unity Metastore Integration in Yeedu
Smart Spark Cluster Management with Auto Start-Stop & GPUs
Secure Enterprise Authentication with LDAP, Azure AD & SSO
Migrate Databricks Notebooks & Jobs to Yeedu With No Code Changes
Revolutionize Spark Debugging with Assistant X – Try It on Yeedu Today
Cross-Cloud Spark Performance Tuning With One Unified Engine
Multiplex Your Spark: Run Multiple Jobs Faster & Cut Costs with Yeedu
Interactive Notebooks in Yeedu with Managed Spark Clusters
AI Is Eating Digital Budgets - What That Means for Data Teams
AI Is Reshaping Tech Budgets - How Data Teams Can Stay Efficient
Yeedu: Intuitive Python Function Deployment & API Monitoring
Role-Based Access Control Dashboard for Simplified Governance
Spark Cost Optimization & Diagnosing Expensive Jobs
Avoiding Vendor Lock-in in Modern Data Architecture
FinOps Transforms Data Engineering with Cost Optimization
Accelerating Chemical Similarity for Drug Discovery with Yeedu Turbo Engine
Why Data Platform Observability Tools Aren’t Enough to Control Big Data Costs
Accelerating Query Performance with Iceberg Puffin
Apache Polaris for Modern Open Data Platforms
Cut Cloud Costs with Cloud Cost Optimization Solutions | Yeedu