Hadoop Migration

OUR EXPERTISE

Migrating your production Hadoop cluster to cloud requires very specific expertise and experience not found within most organizations or consulting partners. Cloudwick’s nearly 200 professionals have more than 400 big data certifications, have built petabytes of data pipelines for every type of data, upgraded thousands of Cloudera, Hortonworks and MapR nodes and migrated more than 30 Hadoop, Spark and NoSQL clusters to the cloud. Whether you’re a Global 1000 in Finance, Insurance,Banking, Fintech, Healthcare, Life Sciences, Energy & Utilities, Retail, Education or Public Sector organization we have built it on-premise and migrated it to AWS.

Case Studies, Healthcare, Cloud Migration

An Electronic Health Record (EHR) company migrates Netezza to AWS Redshift

Practice Fusion being a major player in the EHR sector has a lot of ETL models that helped them in ...

Case Studies, Telecom, Machine Learning

Churn Prediction for a global wireless communications service

Virgin Mobile aims to predict churn for their prepaid customers based on their activity patterns ...

Case Studies, Machine Learning, Payments

Blackhawk Networks – Detect and Mitigate Fraud using Machine Learning with SparkML on EMR

Detect and Mitigate Fraud using Machine Learning with SparkML on EMR Read More

Case Studies, Digital Transformation, Retail

An MNC Digital Transformation Journey

The company needed help with its digital transformation initiatives. They wanted to leverage data ...

Case Studies, Healthcare, Cloud Migration

Transforming Healthcare with near Real-Time Analytics

The goal of Modernizing Medicine® is to increase efficiency and improve outcomes by transforming ...

Case Studies, Healthcare, Cloud Migration

3M HIS Case Study

Modern Analytics for 3M Healthcare Information Systems. Read More

Case Studies, Machine Learning, Gaming

Recommendation Engine helps IMVU stay ahead of the game

The IMVU Virtual Shop is the largest of its kind, with approximately 7,000 new items added each ...

Case Studies, Cloud Migration, Retail

BI Modernization for a global retail company

A global retail organization needed help to migrate its on-premises Microsoft SQL server-based data ...

Case Studies, Machine Learning, Internet

An Intelligent Chatbot for an online knowledge exchange marketplace.

IngenIO’s innovative community-based tools, and proprietary web, voice, and mobile technologies ...

Case Studies, e-Commerce, Cloud Migration

American Cash Back and Shopping Rewards Company choose Cloudwick for Migrating their Legacy Hadoop Platform to AWS

American cash back and shopping rewards company migrated their on-premise Hadoop clusters to AWS ...

OUR APPROACH

Hadoop Migration

The majority of production Hadoop migrations to the cloud begin as lift and shift because of complexity, pending software upgrade is required, the cluster is running out of capacity, node performance limitations, pending cluster software upgrade is required or a data center is being closed and the organization has adopted a cloud strategy. As such, most Hadoop migrations start as lift and shift with limited native refactoring followed by a complete cloud native refactoring of the data and advanced analytics. It is most often a business and timing decision that ultimately leads to one of these two paths: