Chestnut Hill Technologies Consulting Services
As a Databricks partner, Chestnut Hill Technologies offers a range of consulting services to help businesses implement and scale the Databricks platform. Their Databricks-certified professionals have extensive experience in data architecture and the entire data lifecycle, providing businesses with the expertise they need to succeed.
Data Architecture on Databricks
Chestnut Hill Technologies builds flexible data architectures using Databricks that promote the use of high-quality, relevant, and accessible data. These cloud solutions help reduce costs and improve efficiencies and are built to grow along with businesses.
Databricks Health Check
Chestnut Hill Technologies can evaluate existing Databricks environments for operational excellence, security, reliability, performance efficiency, and cost optimization. We provide detailed recommendations and guiding best practices to improve on these five areas.
Database Platform Migration
Migrate data assets to Databricks with Chestnut Hill Technologies’ custom migration plan, which includes stand-up and configuration of Databricks technical migration details for all environments, training, and go-live procedures.
Cloud Readiness Assessment
Using our migration template, Chestnut Hill Technologies can help determine if businesses are ready to move to the cloud. Our team can provide the steps needed for an efficient migration, with an emphasis on minimal disruptions to the business.
Maximizing Value from Databricks Investment
Chestnut Hill Technologies maximizes value with accelerated migrations, increased adoption, and a clear understanding of what’s possible with Databricks and how those possibilities can boost businesses. Our highly skilled Databricks team and suite of proprietary accelerators help drive higher ROI from the Databricks investment.
Fueling Next-Level Analytics
Implementing a new cloud data platform is more than migrating workflows and developing reports. Chestnut Hill Technologies helps organizations use Databricks to address their most pressing business challenges by operationalizing machine learning use cases, generating new insights with data science and predictive analytics, and more.