Qubole Enhances Spark Performance with Dynamic Filtering & SQL Optimization
Introducing Apache Spark 3.0 - The Databricks Blog
PDF) Apache spark: A unified engine for big data processing
Spark 1.5.2: Filtering a dataframe in Scala - Stack Overflow
Spark Tutorial — Using Filter and Count | by Luck Charoenwatana | LuckSpark | Medium
Filtering Rows in Spark Using Where and Filter | Analyticshut
Analyze Games from European Soccer Leagues with Apache Spark and Databricks - The Databricks Blog
BDCC | Free Full-Text | Uncovering Active Communities from Directed Graphs on Distributed Spark Frameworks, Case Study: Twitter Data | HTML
Four Ways to Filter a Spark Dataset Against a Collection of Data Values | by Ajay Gupta | Towards Data Science
What's new in Apache Spark 2.3
7 Tips to Debug Apache Spark Code Faster with Databricks - The Databricks Blog
Spark DataFrame Where Filter | Multiple Conditions — SparkByExamples
Introducing Apache Spark 3.0 on Qubole
Spark multiple CSV reads? - Stack Overflow
RDD vs DataFrames and Datasets: A Tale of Three Apache Spark APIs
Fanning the Spark: IBM Open Data Analytics for z/OS - Tuning Your Spark Application for Optimal Performance - IBM Z and LinuxONE Community
Data Transformation and Analysis Using Apache Spark | AlphaZetta
Spark Tutorial — Using Filter and Count | by Luck Charoenwatana | LuckSpark | Medium
Apache Spark @Scale: A 60 TB+ production use case from Facebook - The Databricks Blog
Spark Tutorial — Using Filter and Count | by Luck Charoenwatana | LuckSpark | Medium
Announcing Apache Spark 1.5 - The Databricks Blog
A PySpark Example for Dealing with Larger than Memory Datasets | by Georgia Deaconu | Towards Data Science
Spark Tutorial — Using Filter and Count | by Luck Charoenwatana | LuckSpark | Medium
Data Preparation as a Service Based on Apache Spark | SpringerLink
