AWS Service Delivery Program
Many customers require a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. A data lake is a new and increasingly popular way to store and analyze data because it allows companies to store all of their data, structured and unstructured, in a centralized repository. An effective data lake should provide low-cost, scalable, and secure storage, and support search and analysis capabilities on a variety of data types.
The AWS Cloud provides many of the building blocks required to help customers implement a secure, flexible, and cost-effective data lake.
Analogue.cloud has been recognized by AWS as Service Delivery Partner for EMR
With the Service Delivery Program, AWS wants to highlight Consulting Partners who have demonstrated successful customer delivery and expertise in specific AWS Services.
Amazon EMR
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 such as Apache Spark, HBase, Presto, and Flink in EMR, and interact with data in other AWS data stores such as Amazon S3 and Amazon DynamoDB.
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.
Example of an EMR implementation in a Data Lake Setup
