Intel Granulate blogs: Technology
Understanding PySpark: Features, Ecosystem, and Optimization
PySpark is a Python library for Apache Spark that allows users to interface with Spark using Python
AWS EMR Tutorial: Configuring and Managing Your First Cluster
Amazon EMR (formerly Amazon Elastic MapReduce) is a managed platform for cluster-based workloads. Learn how to plan, configure, and manage your...
Hadoop vs. Spark: 5 Key Differences and Using Them Together
The Hadoop platform is an open source system that allows storing and processing larger data sets on a cloud base. Apache Spark is an open source...
5 PySpark Optimization Techniques You Should Know
Apache PySpark is the Python API for Apache Spark, an open-source, distributed computing system that is designed for high-speed processing of...
Hadoop: Basics, Running in the Cloud, Alternatives & Best Practices
Hadoop is an open source distributed processing framework that manages data processing and storage for big data applications.
7 Tips and Best Practices for Optimizing AWS Costs in 2024
In the AWS cloud, you can control costs and optimize cloud spend using a variety of strategies and tools.
Azure Cost Management: 4 Free Tools and 4 Tips for Success
Azure cost Management + Billing is a set of tools from Microsoft that help you analyze, manage, and optimize cloud workload costs.
Apache Spark: Architecture, Best Practices, and Alternatives
Apache Spark is an analytics engine that rapidly performs processing tasks on large datasets. It can distribute data processing tasks on...
AWS EMR Clusters and Nodes
Amazon EMR lets you leverage a group of Amazon Elastic Compute Cloud (EC2) instances as a cluster for rapid processing and analysis.