Data warehouses enable fast reporting and analytics but don’t scale or handle unstructured data well.
Data lakes allow you to store data at scale but lack governance, management, and analytics capabilities.
Databricks Delta Lake combines the best, helping you quickly turn big data into big ideas. Like a data lake, the lakehouse architecture stores data in its original form–and adds the data warehouse's governance, management, and analytics capabilities.
“We worked closely with GenUI during the process; they did an incredible job of helping us get there.”
— Jay Lee, Principal Software Architect, Resolution Bioscience
At GenUI we believe in the power of small teams to make a big impact by working closely with stakeholders and using the right technologies to achieve targeted business outcomes. We will collaborate with your team to identify high-value Databricks use cases and implement them rapidly. Together we can achieve meaningful results faster than you ever thought possible.
Choose the right big data solutions to support your Databricks deployment that fit your business goals, internal expertise, and budget.
Transform existing products and data by selectively updating critical pieces of your technology stack to work with Databricks technology.
Build new software products and improve development processes to take advantage of modern data best practices using a variety of frameworks, languages, and cloud platforms.
Create and train powerful machine learning models that deliver tangible business results from a wide range of data and then deploy them as APIs or web services for easy application integration.
Working from the foundation of business goals, build intelligent data workflows that deliver continuous insights across your organization.
Identify and remove bottlenecks at the data, infrastructure, platform, and application levels to unleash the full power of data for your business.
Select the right cloud platform for your needs and get your data where it needs to go faster and with less risk.
Simplify and automate using modern microservices using technologies such as Kubernetes and Docker.