Amazon Web Services (AWS) offers their Amazon Elastic MapReduce (EMR) tool for big data processing and analysis. The MapReduce software frame allows vast amounts of data to be processed quickly and cost- effectively. In addition, 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. This is accomplished by using open source tools such as Apache Spark, Apache Hive, Apache HBase, Apache Flink, and Presto, coupled with the dynamic scalability of Amazon EC2 and scalable stores of Amazon S3. Whether you are running a single purpose, short lived cluster or a long running highly available cluster, Amazon EMR is a tool that will provide your organization the flexibility you have been looking for. Let’s explore further the benefits that Amazon EMR will provide to your business.
Getting Started - Amazon EMR Migration Approaches
Amazon EMR Prototyping
Choosing a Team
2. Big data application engineer
3. Infrastructure engineer
4. Security engineer