Enterprise Data Hubs (EDHs) provide the best of both worlds: Traditional data warehousing & BI tools and new Big Data architectures such as the Data Lake. BigR.io delivers customized solutions and architectures that maximize results on time and within budget. BigR.io can support your company's C-level and senior management teams in planning your technology strategy and helping align technology initiatives to support top-level business objectives.
We can help you decide when and how to leverage cutting-edge technology to drive your strategic initiatives, guide your organization to embrace emerging Big Data and IoT technologies and trends, and integrate them into your architecture, operations, analytics, business intelligence, and product lines.
We can help you decide when and how to leverage cutting-edge technology to drive your strategic initiatives, guide your organization to embrace emerging Big Data and IoT technologies and trends, and integrate them into your architecture, operations, analytics, business intelligence, and product lines.
Services
Studio for Drug Discovery
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Utilize the key success principles of Integrated Data, Robust Processes and Cutting Edge AI. AI in Drug Discovery has reached a tipping point with concrete successes cutting through the hype cycles of past decades. Life Sciences companies are using AI in activities from identification of therapeutic molecules to clinical trial patient recruiting.
Snowflake
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Developing data warehousing and migration solutions in fast, cost effective implementations. The Snowflake certified experts at BigR.io will work with you to meet and exceed all your data warehouse needs, ensuring the most impact and fast return on investment from your Snowflake deployment. The current state of technology and architecture of a data warehouse has changed significantly from traditional data warehouses.
Big Data
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Incorporating Big Data technologies and initiatives into an existing information architecture can be challenging. BigR.io can help assess current readiness, design an architectural approach that addresses actual business problems with room for growth, and plan an implementation roadmap that maximizes impact and "quick hits" while minimizing risk and transition pain.
Data Lakes
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The rapid spread of unstructured data is both an opportunity and a challenge as it provides the possibility of new insights at the cost of changing infrastructure needs and new approaches to managing, storing, and manipulating that data. The real value of Big Data lies in combining historically structured data with this new unstructured data.
Data Integration
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BigR.io brings new perspective to the traditionally slow and error-prone ETL process. We leverage proprietary technology which accumulates schema intelligence over the history of engagements. This central schema dictionary accelerates schema matching and compartmentalizes workflow tasks. The direct effect is a streamlined engineering process and parallelization of collaborative efforts, resulting in faster completion and improved data quality.
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