Category: Amazon EMR

Amazon EMR is a cloud big data platform for running large-scale distributed data processing jobs, interactive SQL queries, and machine learning (ML) applications using open-source analytics frameworks such as Apache Spark, Apache Hive, and Presto. Apache Iceberg is an open table format for huge analytic datasets. Table formats typically indicate the format and location of […]

March 2024: This post was reviewed and updated for accuracy. Most businesses store their critical data in a data lake, where you can bring data from various sources to a centralized storage. The data is processed by specialized big data compute engines, such as Amazon Athena for interactive queries, Amazon EMR for Apache Spark applications, […]

Many of our customers that use Amazon EMR as their big data platform need to integrate with their existing Microsoft Active Directory (AD) for user authentication. This integration requires the Kerberos daemon of Amazon EMR to establish a trusted connection with an AD domain, which involves a lot of moving pieces and can be difficult […]

This post was co-written by Rajat Bhardwaj, Senior Technical Account Manager at AWS and Kunal Upadhyay, General Manager at Paytm. Paytm is India’s leading payment platform, pioneering the digital payment era in India with 130 million active users. Paytm operates multiple lines of business, including banking, digital payments, bill recharges, e-wallet, stocks, insurance, lending and […]

Amazon EMR is a cloud big data platform for running large-scale distributed data processing jobs, interactive SQL queries, and machine learning (ML) applications using open-source analytics frameworks such as Apache Spark, Apache Hive, and Presto. Amazon EMR supports Kerberos for authentication; you can enable Kerberos on Amazon EMR and put the cluster in a private […]

Amazon EMR on Amazon EKS is a deployment option offered by Amazon EMR that enables you to run Apache Spark applications on Amazon Elastic Kubernetes Service (Amazon EKS) in a cost-effective manner. It uses the EMR runtime for Apache Spark to increase performance so that your jobs run faster and cost less. In our benchmark […]

This post is co-written with Richard Li from SailPoint. SailPoint Technologies is an identity security company based in Austin, TX. Its software as a service (SaaS) solutions support identity governance operations in regulated industries such as healthcare, government, and higher education. SailPoint distinguishes multiple aspects of identity as individual identity security services, including cloud governance, […]

June 2023: This post was reviewed and updated for accuracy. Customers are increasingly building data lakes to store data at massive scale in the cloud. It’s common to use distributed computing engines, cloud-native databases, and data warehouses when you want to process and analyze your data in data lakes. Amazon EMR and AWS Glue are […]

Apache Hudi is an open-source transactional data lake framework that greatly simplifies incremental data processing and data pipeline development. It does this by providing transaction support and record-level insert, update, and delete capabilities on data lakes on Amazon Simple Storage Service (Amazon S3) or Apache HDFS. Apache Hudi is integrated with open-source big data analytics […]

Our customers use Apache Hive on Amazon EMR for large-scale data analytics and extract, transform, and load (ETL) jobs. Amazon EMR Hive uses Apache Tez as the default job execution engine, which creates Directed Acyclic Graphs (DAGs) to process data. Each DAG can contain multiple vertices from which tasks are created to run the application […]