💰 Cost Optimization Best Practices for Amazon EMRAmazon EMR (Elastic MapReduce) is a powerful tool for processing large-scale data using distributed frameworks like Apache Spark and…1d ago1d ago
🚀 Right-Sizing Spark Executors on EMR Instances: A Practical GuideRunning Apache Spark applications on Amazon EMR using EC2 Spot Instances offers significant cost savings, but it also introduces…1d ago1d ago
🚀 Mastering Amazon EMR Instance Fleets: Guidelines and a Real-World Configuration ExampleAmazon EMR (Elastic MapReduce) is a powerhouse for big data processing, offering flexible and scalable clusters to run Apache Spark…6d ago6d ago
🧊 Automating Apache Iceberg Maintenance with Spark and PythonApache Iceberg is a powerful table format built for data lakes, combining ACID transactions, schema evolution, and high performance at…May 18May 18
🧊 A Practical Guide to Apache Iceberg on AWS EMR: Best Practices & RecommendationsApache Iceberg has emerged as a powerful table format for building open data lakehouses, enabling high-performance analytics and seamless…May 14May 14
Optimizing Parquet Compression in Apache Iceberg: Why ZSTD is the Smart DefaultFrom the rise of open data lakehouses to the growing emphasis on storage efficiency, the way we compress our data matters more than ever.May 13May 13
Why You Should Prefer MERGE INTO Over INSERT OVERWRITE in Apache IcebergApache Iceberg has emerged as a leading table format for data lakes, offering robust support for schema evolution, hidden partitioning, and…Apr 29Apr 29
