Amazon EMR Pricing & Plans

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Cluster Orchestration

Provisions and manages distributed clusters for large-scale data processing.

Job Scheduling

Executes and manages batch or streaming jobs across Hadoop and Spark engines.

Data Processing with Hadoop

Runs MapReduce workflows for processing massive structured and unstructured datasets.

Apache Spark Processing

Supports distributed in-memory Spark jobs for fast analytics and machine learning tasks.

Presto Query Engine

Runs interactive, low-latency queries on big datasets using Presto distributed SQL.

Data Warehousing Integration

Connects with Amazon Redshift for combining big data and warehouse analytics.

Graph Processing

Supports iterative graph algorithms and analysis via Spark GraphX and related tools.

Machine Learning on Clusters

Executes ML workloads with Spark MLlib, TensorFlow, and other frameworks.

Data Catalog Integration

Manages metadata and schemas for datasets with Hive Metastore or AWS Glue Catalog.

Data Lake Processing

Processes data stored in Amazon S3 and integrates with AWS Lake Formation.

HBase NoSQL Database

Runs scalable HBase clusters for random, real-time read/write access to big data.

Workflow Management

Uses Apache Oozie for scheduling, managing, and chaining big data jobs.

File System Abstraction

Implements EMRFS and HDFS for unified storage and access across clusters.

Data Transformation

Performs ETL operations at scale using Hive, Spark, or Presto engines.

Metadata Handling

Stores and retrieves metadata for tables, schemas, and partitions across engines.

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Brand Name	Amazon
Information	Amazon is an e-commerce website for consumers, sellers, and content creators.
Founded Year	1994
Director/Founders	Jeff Bezos, Marcelio Leal, Osman Nahid
Company Size	1000+ Employees
Other Products	Amazon Chime, Amazon AWS, Amazon CodeWhisperer, Amazon Quicksight , AWS Chatbot