Partnership

Credera and Amazon Web Services EMR

Find new ways to get value from your organization’s data with big data capabilities from Amazon EMR.

Overview

Why our partnerships are different.

As an AWS Advanced Consulting Partner, we advise clients and deliver end-to-end AWS solutions that unlock innovation and increase flexibility, scalability, and security to accelerate business goals and growth.

Amazon Web Services EMR Capabilities

AWS EMR Offerings

Credera leaders enable clients to leverage the full extent of their valuable business data sources by using Amazon EMR to realize cutting-edge data paradigms and patterns. We have built experience through working with data across a myriad of business sectors and clients, allowing us to quickly design and implement the right solution, integrating data sources to maximize business benefit. Amazon EMR handles a broad set of big data use cases, including data transformations, machine learning, financial analysis, scientific simulation, and bioinformatics.

Data Analysis at Scale

Run petabyte-scale analysis across data ingested from a wide range of business divisions to produce actionable insights and project-shaping direction. Choose from a range of tools that existing your resources are already familiar with including Spark, Hive and Presto. Automate time-consuming tasks like provisioning capacity and tuning clusters.

Workload Cost Optimization

Use EC2 Spot Instances to ensure that compute is only active when needed for running jobs. Architecting Amazon EMR workloads to take advantage of the steep discounts available compared to On-Demand prices minimize cloud service costs and contributes to a greener solution.

Migrate On-Premises Hadoop Workloads

Remove the need to worry about maintaining underlying hardware or operating systems, putting the focus on business applications instead of complex and time-consuming configuration. Run analysis at less than half of the cost of traditional on-premises solutions and over three times faster than standard Apache Spark.

Integrate with Data Sources Across AWS

Easily interact with data in other AWS data stores such as Amazon S3 and Amazon DynamoDB. Amazon EMR Notebooks, based on the popular Jupyter Notebook, provide a development and collaboration environment for ad hoc querying and exploratory analysis.

Case Studies

See how we solved these challenges for our clients.

Zynx Health

Design sprint and platform implementation.

Zynx Health sought a partner to help them develop a new product that leverages their best-in-class clinical evidence as a benchmark to analyze the clinical operations of new and existing customers.

Structured Innovation, Emerging Technologies, Analytics & Insights