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Amazon EMR

Amazon EMR

Distribute your data and processing across a Amazon EC2 instances using Hadoop

Amazon EMR provides a managed Hadoop framework that makes it easy, fast, and cost-effective to process vast amounts of data across dynamically scalable Amazon EC2 instances.

You can also run other popular distributed frameworks and interact with data in other AWS data stores such as Amazon S3 and Amazon DynamoDB.

Amazon EMR securely and reliably handles a broad set of big data use cases, including log analysis, web indexing, data transformations (ETL), machine learning, financial analysis, scientific simulation, and bioinformatics.

Benefits

Easy to Use

You can launch an Amazon EMR cluster in minutes. You don’t need to worry about node provisioning, cluster setup, Hadoop configuration, or cluster tuning. Amazon EMR takes care of these tasks so you can focus on analysis.

Low Cost

Amazon EMR pricing is simple and predictable: You pay a per-second rate for every second used, with a one-minute minimum charge. You can launch a 10-node Hadoop cluster for as little as $0.15 per hour. Because Amazon EMR has native support for Amazon EC2 Spot and Reserved Instances, you can also save 50-80% on the cost of the underlying instances.

Elastic

With Amazon EMR, you can provision one, hundreds, or thousands of compute instances to process data at any scale. You can easily increase or decrease the number of instances manually or with Auto Scaling, and you only pay for what you use.

Reliable

You can spend less time tuning and monitoring your cluster. Amazon EMR has tuned Hadoop for the cloud; it also monitors your cluster —retrying failed tasks and automatically replacing poorly performing instances.

Secure

Amazon EMR automatically configures Amazon EC2 firewall settings that control network access to instances, and you can launch clusters in an Amazon Virtual Private Cloud (VPC), a logically isolated network you define. For objects stored in Amazon S3, you can use Amazon S3 server-side encryption or Amazon S3 client-side encryption with EMRFS, with AWS Key Management Service or customer-managed keys. You can also easily enable other encryption options and authentication with Kerberos.

Flexible

You have complete control over your cluster. You have root access to every instance, you can easily install additional applications, and you can customize every cluster with bootstrap actions. You can also launch Amazon EMR clusters with custom Amazon Linux AMIs.

Other Companies Using Amazon EMR

NetflixZillowFinraNasdaqYelpEtsy

Employees

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Cody Swann

Since founding Gunner Technology, Cody has served the company in every aspect of business development and product development.

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Dary Merckens

From a contractor to a partner, Dary has been with Gunner since year 1 and embodies the meritocratic spirit and philosophy of Gunner Technology.

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Mahdi Huessein

Mahdi joined Gunner at age 18 and quickly rose through the ranks to become VP of Engineering

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Elena Villanueva

From Sensors and Big Data to Media Queries and Form Validation, Elena has worked on pretty much anything you can imagine.

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Kayden Chan

Kayden holds the Gunner Technology record for most straight hours worked at just under 70. He refuses to quit until the job is done and it's done right.

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Jeramiah Anthony

Jeramiah is a wizard at turning loose requirements into a firm vision with a solid plan.

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Ethan Sloan

Ethan has a mind for infrastructure and a knack for visualizing platform solutions

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Nicolas Henderson

Nicolas' goal is to learn everything. A voracious reader, the only time his nose isn't in a tech book is when he's scripting a new infrastructure.

Projects

References

Related Terms

  • Amazon Web Services

    Amazon Web Services (AWS) is a comprehensive, evolving cloud computing platform provided by Amazon.

  • Big Data

    Big data is extremely large data sets that may be analyzed computationally to reveal patterns, trends and associations, especially relating to human behavior and interactions.