Databricks
Advance your data’s value and strategy with state-of-the-art cloud artificial intelligence and data solutions.
Our Partnerships are Different
Harness the full potential of your data.
It’s not enough to simply have data—unlocking business value requires a deep understanding of your analytics and a unified platform that processes data at scale. By connecting data engineering, data science, and machine learning (ML) in a cohesive manner, organizations are set up for long-term, data-driven success.
Unity
A strong data platform streamlines workflows and enables organizations to efficiently collect, process, and analyze large volumes of data. When data and analytics are well-connected, productivity improves and teams can respond to insights in real time.
Scalability
Deliver impressive processing speeds and adaptability without sacrificing performance. Companies are, in turn, equipped with more accurate, relevant insights regardless of the data’s complexity and size.
Advanced analytics
Databricks’ machine learning capabilities empower data scientists, engineers, and analysts to work together effectively. This enables teams to deploy appropriate solutions for unique data sets and fosters data-driven decision-making for a competitive edge.
How We Can Help
Create value with an experienced team.
At Credera, one of our core values is putting people first. We believe creating strong, collaborative relationships with clients and stakeholders is the key to unlocking extraordinary value for our partnerships. We call this the Credera Difference, and we invite you to hear directly from some of our clients about their experiences working with us. As a services partner with Databricks, we help our clients innovate faster by accelerating their data science and AI efforts. Databricks, founded by the original creators of Apache Spark, is an industry-leading, fully managed, cloud-based data engineering platform, providing powerful, yet easy-to-use data transformation, analytics, and ML capabilities.
Databricks Capabilities
See how we’re helping our clients.
Our data engineers, data scientists, and data strategists have deep expertise in creating value from data and making usable, agile data models. This culminates in high quality results that drive organizations forward.
Modern (lakehouse) data platforms
We modernize data lakes by moving to Databricks Lakehouse, thereby enabling AI and data engineers to collaborate on a single, end-to-end, well-architected platform.
Modern data governance
With the Databricks Unified platform, we bring analytics, data governance, and information architecture together to help leaders realize value and democratize data access.
Data science innovation and MLOps pipeline
We help create AI workflows from data prep to modeling to sharing insights—with a collaborative data science environment built on an open Lakehouse foundation.
Hadoop and data warehouse migration
Our team of engineers helps organizations retire legacy infrastructure and migrate to the Lakehouse platform.
Enabling Data Democratization with a Data Marketplace
A custom data marketplace platform can decentralize and maximize the power of data for an organization. We’ll explore the features and benefits of implementing a data marketplace.
Related capabilities
Additional services and offerings.
We realize your opportunities and initiatives can take on a variety of shapes and sizes. See Credera’s related services to understand how we’re creating boutique, customized approaches tailored to our clients.
AI models
Beat the odds and launch artificial intelligence (AI) models that improve decision-making, empower a competitive edge, and drive significant business value.
AI products
Artificial intelligence (AI) promises to bring efficiency, cost savings, and competitive advantage. But how do you cut through the hype and deliver AI products in a safe and useful way for your organization?
AI strategy
Recent leaps in generative artificial intelligence (AI) capabilities promise to create transformative organizational value, but only if there is a seamless integration with organizational strategy, data strategy, and AI strategy.
Data analytics
Data analysis provides the foundation for informed decision-making, innovation, problem-solving, and efficiency.
Data architecture
The real success of your data strategy relies on suitable data and technology architecture that adapts to your needs and scales as your organization evolves.
Data democratization
Break down data barriers and pave the way for data-informed decisions, better access, and improved reliability and compliance through data democratization.
Our Experts
We’re available to talk—and here to help.
At Credera, we’re only as good as our people, and we bring a highly skilled and diverse set of experts together for the benefit of our clients.
Jay Parashar
Principal
Houston
Michael Jiang
Principal Architect
Chicago
Cole Harrison
Senior Consultant
Dallas
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