Intel®️ Tiber™️ App-Level Optimization blogs: Spark

Hadoop with Hive: Is Hive Still Relevant? 2024 Guide
Hadoop with Hive: Is Hive Still Relevant? 2024 Guide
Hive-Hadoop integration lets users leverage Hadoop’s scalability and efficiency while using familiar SQL syntax to interact with data.
Apache Spark Architecture Simplified
Apache Spark Architecture Simplified
Apache Spark’s architecture handles large-scale data processing. It uses a central coordinator known as the Spark Driver and distributed...
PySpark vs. Spark: 7 Key Differences and How to Choose
PySpark vs. Spark: 7 Key Differences and How to Choose
Apache Spark is a unified engine for large-scale data processing. PySpark is its Python API, allowing Python programmers to leverage Spark's...
Spark Security: Top Vulnerabilities & 6 Ways to Secure Your Spark
Spark Security: Top Vulnerabilities and 6 Ways to Secure Your Spark
Apache Spark security includes methodologies, tools, and best practices to protect Spark applications and data from unauthorized access, theft,...
Cloudera vs Databricks vs Snowflake: Choosing the Right Data Management Platform for Your Needs
Dive into the world of three major players in data management: Cloudera, Databricks, and Snowflake, and discover which one is right for your...
Optimizing AI: Large-scale Data Processing and Analytics
Optimizing AI: Large-Scale Data Processing and Analytics
The second in Intel Tiber App-Level Optimization’s series, Optimizing AI, a deep dive into optimizing Large-scale Data Processing and...
Spark Streaming (Spark Structured Streaming): the Basics and a Quick Tutorial
Spark Streaming: Use Cases, Benefits, Architecture, and Tutorial
Spark Structured Streaming is a newer streaming engine that provides a declarative API, offers end-to-end fault tolerance, and supports more...
Azure Databricks: Spark on Steroids in the Azure Cloud
Azure Databricks: Spark on Steroids in the Azure Cloud
Azure Databricks is an Apache Spark-based analytics platform optimized for the Microsoft Azure cloud services platform.
EKS for Spark Workloads
Session Recap: Best Practices for Embracing EKS for Spark Workloads
If you missed the live session, read this recap on the best practices for embracing EKS for Spark workloads.