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cloud:aws:big_data:batch [2023/10/18 18:15] – created skipidarcloud:aws:big_data:batch [2023/11/01 07:13] (current) – ↷ Page moved from business_process_management:camunda:cloud:aws:big_data:batch to cloud:aws:big_data:batch skipidar
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 **Use Cases:** **Use Cases:**
  
-**AWS Batch:** AWS Batch is a fully managed service for running batch computing workloads, such as data transformation, image processing, and scientific simulations. It is designed for applications that need to scale with demand and prioritize job scheduling and resource allocation.\\+**AWS Batch:** AWS Batch is a **fully managed** service for running batch computing workloads, such as data transformation, image processing, and scientific simulations. It is designed for applications that need to scale with demand and prioritize job scheduling and resource allocation.\\
 **AWS EMR:** AWS Elastic MapReduce (EMR) is designed for processing and analyzing large datasets using popular big data frameworks like Apache Hadoop, Apache Spark, Apache Hive, and others. It's mainly used for data analytics, machine learning, and data processing workloads.\\ **AWS EMR:** AWS Elastic MapReduce (EMR) is designed for processing and analyzing large datasets using popular big data frameworks like Apache Hadoop, Apache Spark, Apache Hive, and others. It's mainly used for data analytics, machine learning, and data processing workloads.\\
  
 **Workload Types:** **Workload Types:**
  
-**AWS Batch:** It is optimized for parallel and distributed batch processing jobs. Jobs are typically self-contained and don't require the use of big data processing frameworks.\\+**AWS Batch:** It is **optimized for parallel and distributed batch processing jobs**. Jobs are typically self-contained and don't require the use of big data processing frameworks.\\
 **AWS EMR:** It is tailored for big data processing, including tasks like data ingestion, ETL (Extract, Transform, Load), data analysis, and machine learning using Hadoop and Spark.\\ **AWS EMR:** It is tailored for big data processing, including tasks like data ingestion, ETL (Extract, Transform, Load), data analysis, and machine learning using Hadoop and Spark.\\
  
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 **Pricing Model:** **Pricing Model:**
  
-**AWS Batch:** You pay for the compute resources you use, and there is a separate charge for AWS Batch's job scheduling and management.\\+**AWS Batch:** You p**ay for the compute resources you use**, and there is a separate charge for AWS Batch's job scheduling and management.\\
 **AWS EMR:** Pricing is based on the type and number of EC2 instances in your EMR cluster, along with additional charges for data storage and data transfer.\\ **AWS EMR:** Pricing is based on the type and number of EC2 instances in your EMR cluster, along with additional charges for data storage and data transfer.\\
  
 **Ecosystem:** **Ecosystem:**
  
-**AWS Batch:** Works well with various AWS services like EC2, Fargate, and Lambda, allowing you to build customized batch processing pipelines.\\+**AWS Batch:** Works well with various AWS services like **EC2, Fargate, and EKS**, allowing you to build customized batch processing pipelines.\\
 **AWS EMR:** Offers an extensive ecosystem for big data analytics, including integration with Apache Spark, Hadoop, Hive, Pig, and various other big data tools.\\ **AWS EMR:** Offers an extensive ecosystem for big data analytics, including integration with Apache Spark, Hadoop, Hive, Pig, and various other big data tools.\\
cloud/aws/big_data/batch.1697652924.txt.gz · Last modified: by skipidar