Cloudwick: The Cloud, Data Lake and Analytics Company

On-Premise to AWS Hadoop Migration

It is a long established fact that a reader will be distracted
by the readable

400

Big Data

Certifications

30

Data Lake

Implementations

100

AWS

Certifications

OUR EXPERTISE

Hadoop Migration

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.
How long does a Hadoop
migration take?
How much does a Hadoop migration cost?
What does a Hadoop migration assessment & plan include?

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:

Building a Data Lake on AWS with Cloudwick

Discover the benefits of a Data Lake on AWS with Cloudwick

OUR APPROACH

Hadoop Migration

Cloudwick follows a proven methodology for migrating production Hadoop to AWS. IT starts with a current and future state advanced analytic assessment with business and technology stakeholders so that vision, goals and responsibilities can be gathered and used to develop the pilot, production and support plan. A typical Hadoop production migration will take

OUR INSIGHTS HADOOP MIGRATION & MORE

The top 3 reasons why enterprises are migrating big data analytics to AWS.

Arun Kumar Palathumpattu

Cloudwick Head of Product & Services

In this article I discuss how AWS Data Lake technology is making it easier, faster and cheaper for organizations to act on all data for better business decision making.

Amorphic Data

Simplifying AWS Data Lake Analytics for Analyst,
Business Users & Engineers & Data Scientist

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