Intel Granulate blogs: Big Data
Elasticsearch on AWS: A Practical Guide
With Elasticsearch on AWS, users can take advantage of AWS's global infrastructure to deploy Elasticsearch clusters in regions around the world.
Optimizing Resource Allocation for Apache Spark
Resource allocation for Apache Spark and how you can configure and optimize your Spark environment for maximum performance.
How to Overcome the 4 Biggest Challenges in Big Data Workload Optimization
In this guide, you will learn how to overcome the four primary challenges that companies face when it comes to optimizing their Big Data...
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.
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...