Privacy policyPrivacy policy
Company Logo

On-prem Hadoop to Azure Databricks using WANdisco solution assessment

A data service for data science

Organizations with large on-premises datacenters have long used Hadoop for its speed and ability to efficiently process and store large volumes of data. Migrating to Azure Databricks enables organizations to take this even further. It leverages a highly optimized version of Apache Spark which outperforms non-Databricks workloads by 50x.

Beyond providing for quicker processing times, this enables organizations to support real time analytics and modern data science practices such as MLOps.

Using WANdisco to move data with zero downtime or data loss

Migrating to the cloud can be a complicated process. Neal’s expertise with Databricks and WANdisco LiveAnalytics for Azure Databricks enables organizations to move Hadoop to the cloud with zero downtime or data loss, enabling a smooth transition to the and no interruption to business operations.

Hadoop to Azure Databricks solution assessment

Curious whether it makes sense for you to leverage WANdisco to migrate to Azure Databricks? Neal Analytics can help you decide.

Neal Analytics is offering to perform solution assessments to help organization decide whether it makes sense to use WANdisco to migrate on-premises Spark to Azure Databricks.

During the solution assessment, we review your existing environment, data sources, and business requirements. At the conclusion of the workshop, Neal will take our findings and deliver an initial migration roadmap within 1 to 2 weeks. To learn more about the workshop, review our solution assessment brochure.

To get started, simply fill out and submit the form to the right.

Student Success Story

Neal Analytics is a cloud, data, and AI Microsoft Gold consulting partner supporting data-driven transformation initiatives from data strategy to solution design, architecture, development, operationalization, and support.

Our expertise spans across migration and modernization, data science, AI/ML, IoT, edge computing, BI, application development, and RPA.

With a focus on right-sized and pragmatic approaches towards digital transformation, Neal leverages Agile methodologies and flexible engagement models to deliver measurable customer value.