Tag: Month in Review

Lots to see on the Big Data Blog in June! Please take a look at the summaries below for something that catches your interest. Use Sqoop to Transfer Data from Amazon EMR to Amazon RDS Customers commonly process and transform vast amounts of data with EMR and then transfer and store summaries or aggregates of […]

Lots to see on the Big Data Blog in April! Please take a look at the summaries below for something that catches your interest. Exploring Geospatial Intelligence using SparkR on Amazon EMR The number of data sources that use location, such as smartphones and sensory devices used in IoT (Internet of things), is expanding rapidly. […]

March provided another full slate of big data solutions on the AWS Big Data Blog! Take a look at the summaries below for something that catches your interest and share with anyone who’s interested in big data. Will Spark Power the Data behind Precision Medicine? Spark is already known for being a major player in […]

Lots for big data enthusiasts in February on the AWS Big Data Blog. Take a look! Submitting User Applications with spark-submit Learn how to set spark-submit flags to control the memory and compute resources available to your application submitted to Spark running on EMR. Learn when to use the maximizeResourceAllocation configuration option and dynamic allocation […]

Lots for big data enthusiasts in January on the AWS Big Data Blog. Take a look! Running an External Zeppelin Instance using S3 Backed Notebooks with Spark on Amazon EMR Learn how to set up Zeppelin running “off-cluster” on a separate EC2 instance. You’ll  be able to submit Spark jobs to an EMR cluster directly […]

Lots for big data enthusiasts in December on the AWS Big Data Blog. Take a look! Top 10 Performance Tuning Techniques for Amazon Redshift “This post takes you through the most common issues that customers find as they adopt Amazon Redshift, and gives you concrete guidance on how to address each.” Migrating Metadata when Encrypting […]