Apache Spark, a distributed engine for large-scale data processing. Readers can learn about the DataFrame and SQL APIs, execution planning and shuffles, structured streaming, memory and partition tuning, running on Kubernetes or managed services, and alternatives.

Apache Spark

Deploy an on-premise data hub with Canonical MAAS, Spark, Kubernetes and Ceph

Apache Hadoop and Apache Spark for Big Data Analysis

Amazon EMR Serverless introduces Shuffle-optimized disks delivering improved performance for I/O intensive workloads

Amazon EMR on EKS now supports Apache Livy

Understanding Distributed Computing

Iris - Turning observations into actionable insights for enhanced decision making

Cost Optimization Strategies for scalable Data Lakehouse

Enhancing Data Security with Spark: A Guide to Column-Level Encryption - Part 1

Sentiment Analysis of Yelp Restaurants Reviews in Real-Time

Enabling near real-time data analytics on the data lake

Apache Spark

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