Amazon EMR - Your Solution to Handle Big Data

No Infrastructure! No Waste of Time!

There is Amazon EMR!

This is a complete guide for technical and non-technical audience passionate about Big Data,

Cloud, AWS.

• This detailed tutorial will teach you:
• How to Amazon EMR work with other AWS services,
• What features Amazon EMR have,
• What are the use cases of Amazon EMR,
• How companies benefit from Amazon EMR,
• Lots more,

So if you’re ready to go get started with Big Data, this guide is for you.

Let's dive right in.

Amazon EMR is a fantastic service that everyone should take use of, from novices to large corporations.

What is Amazon EMR?

Amazon EMR is an Amazon-managed cluster platform that makes it easier to handle and analyze massive amounts of data using big data frameworks like Apache Hadoop and Apache Spark on AWS. EMR may be used to process data for analytical and business intelligence tasks in combination with Apache Hive and Apache Pig. EMR lets you transform and move large amounts of data across AWS data stores and databases.

Amazon EMR Features

? Easy to Use: Amazon EMR makes it easier to create and manage large data environments and applications. Easy provisioning, managed scaling, and cluster reconfiguration are among EMR capabilities, as is EMR Studio for collaborative development.

? Elastic: Amazon EMR allows you to supply as much capacity as you need fast and simply, as well as add and remove capacity automatically or manually. This is especially handy if your processing requirements are varied or unexpected.

? Low Cost: Amazon EMR was created to make processing large amounts of data less expensive. Low per-second price, Amazon EC2 Spot integration, Amazon EC2 Reserved Instance integration, elasticity, and Amazon S3 integration are some of the characteristics that make it cost effective.

? Flexible Data Stores: You may use different data stores with Amazon EMR, including Amazon S3, Hadoop Distributed File System (HDFS), and Amazon DynamoDB.

? Big Data Tools: Apache Spark, Apache Hive, Presto, and Apache HBase are among the Hadoop technologies supported by Amazon EMR. Deep learning and machine learning tools like TensorFlow and Apache MXNet are operated on EMR by data scientists. It is used by data analysts for interactive development, building Apache Spark tasks, and querying Hive and Presto. Amazon EMR Use Cases Amazon EMR may be used in a variety of ways by businesses, including:

? Machine Learning: The Hadoop framework is used by EMR's built-in ML tools to generate a range of decision-making algorithms.

? Real-Time Streaming: With Apache Spark Streaming and Apache Flink, users may analyze events in real time utilizing streaming data sources.

? Interactive Analytics: EMR Notebooks are a managed service that offers a safe, scalable, and dependable data analytics environment.

? Genomics: For businesses such as medicine and telecommunications, EMR may be used to handle genetic data and make data processing and analysis scalable.

Benefits of Amazon EMR

We'll look at some of the advantages of Amazon EMR in this section of the guide.

? Cost reduction of physical infrastructure: Organizations no longer need to buy and maintain physical servers because of EMR. Instead, Amazon EMR charges you for the capabilities you use on a per-second basis.

? Time-Saving: EMR saves time for system administrators by eliminating the requirement to deploy and configure in-house servers for Big Data computing operations. The majority of these operational aspects will be handled by Amazon EMR.

Which companies use Amazon EMR?

Integral Ad Sciences, Nielsen, Paytm, Redfin

How does Amazon EMR benefit companies?

? Nielsen: Nielsen is a global measurement and data analytics firm that tracks what people watch and how much advertising they see. According to Scott Brown, Nielsen's general manager of TV & Audio, the business achieved two key milestones in 2019. Nielsen's National Television Audience Measurement platform was first moved to Amazon Web Services (AWS). According to Brown, Nielsen then built a new cloud-native local television rating platform, which "dramatically increased" the quantity of data it ingests, processes, and delivers to its clients each day.

? Redfin: By using AWS, Redfin can innovate quickly and cost effectively with a small IT staff while managing billions of property records. Redfin is a full-service residential real estate firm with offices in 37 states and the District of Columbia. Amazon S3, Amazon DynamoDB, Amazon Redshift, Amazon Kinesis, Amazon Elastic MapReduce, and Amazon EC2 instances, all of which operate on the latest Intel Xeon processors, are used to run the company's entire business analytics operation on AWS.

Co-Author : Elif Nurber Karakas

Source:
https://aws.amazon.com/emr/features/?nc=sn&loc=2&dn=
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https://tutorialsdojo.com/amazon-emr/
https://searchaws.techtarget.com/definition/Amazon-Elastic-MapReduce-Amazon-EMR
https://www.cloudzero.com/blog/aws-emr