Migration workshop: On-premises Spark workloads running on Hadoop to Azure Databricks
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.
Considering non-optimized Apache Spark already outperforms Hadoop by 100x, organizations stand to gain an astronomical 5,000x boost in performance by making the move. Beyond quicker processing times, this enables organizations to support real time analytics and modern data science practices such as MLOps.
Spark to Azure Databricks quick start workshop
Ready to start leveraging Azure Databricks? The first step is to create a roadmap for the migration.
To help plan on-premises Spark to Azure Databricks migrations, Neal Analytics is offering a 1-day workshop where we:
- Review your existing data environment
- Review your data sources
- Review data connector availability
- Review your business needs and requirements
- Assess high availability and disaster recovery 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 workshop brochure.
To get started, simply fill out and submit the form to the right.
On the fence? Neal Analytics is offering a limited time 30% discount on our workshop. Submit the form to the right by 12/31/2020 to qualify.
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.