Apache Spark @Scale: A 60 TB+ production use case
Facebook often uses analytics for data-driven decision making. Over the past few years, user and product growth has pushed our analytics engines to operate on data sets in the tens of terabytes for a single query. Some of our batch analytics is executed through the venerable Hive platform (contributed to Apache Hive by Facebook in 2009) and Corona, our custom MapReduce implementation. Facebook has
Analyze Your Data on Amazon DynamoDB with Apache Spark | Amazon Web Services
AWS Big Data Blog Analyze Your Data on Amazon DynamoDB with Apache Spark Manjeet Chayel is a Solutions Architect with AWS Every day, tons of customer data is generated, such as website logs, gaming data, advertising data, and streaming videos. Many companies capture this information as it’s generated and process it in real time to understand their customers. Amazon DynamoDB is a fast and flexible
AWS News Blog
AWS Week in Review – AWS Documentation Updates, Amazon EventBridge is Faster, and More – May 22, 2023 Here are your AWS updates from the previous 7 days. Last week I was in Turin, Italy for CloudConf, a conference I’ve had the pleasure to participate in for the last 10 years. AWS Hero Anahit Pogosova was also there sharing a few serverless tips in front of a full house. Here’s a picture I […] Amaz
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Exploring Geospatial Intelligence using SparkR on Amazon EMR | Amazon Web Services
