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July 21, 2023

How a Large Healthcare Organization Cut Costs by 60% with Hakkoda’s Migration Center of Excellence

Hakkoda's migration center of excellence, which includes roadmaps, automation tools and best practices, drives efficiency and value during a data migration. Leveraging specialized knowledge accrued by an expert partner can…

Hakkoda - FHIR to OMOP - Power Secure Data Storage with FHIR to OMOP

Blog

June 23, 2023

Burn Your Data Down: Power Secure Data Storage with FHIR to OMOP

OMOP is a maturing data model that may solve many of FHIR’s limitations in the world of healthcare. How is Hakkoda building tools to help manage the move to this…

Hakkoda - Epic Healthcare Analytics - The Fort Knox of Epic Healthcare Analytics: An Inevitable Push Towards Alternatives

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May 9, 2023

The Fort Knox of Epic Healthcare Analytics: An Inevitable Push Towards Alternatives

Epic Systems has kept a tight grip on their data for decades. But healthcare experts predict that change may soon be in the air. How can users leverage Snowflake to…

How to Leverage Your EDI 837 Data in Snowflake - EDI 837 data - Hakkoda

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March 31, 2023

How to Leverage Your EDI 837 Data in Snowflake

EDI 837 data: It’s a common term in the healthcare industry, but how well do you understand its function for your organization, and could you be doing more with it?

Blog

March 2, 2023

How to Migrate Epic Healthcare Data to Snowflake

For most healthcare organizations, Epic software is a known and trusted resource for Electronic Health Records. In the U.S., some 54% of patient records are managed with Epic’s EHR system.…

Snowflake Spark Connector: What It Means for Big Data - Snowflake Spark Connector - Hakkoda

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January 23, 2023

Snowflake Spark Connector: What It Means for Big Data

The Snowflake Spark Connector is modernizing big data by offering better collaboration and scalable insights for data-driven teams. Learn how the Snowflake Connector for Spark is changing the modern tech…

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State of Data Report 2025

In Hakkoda’s State of Data 2025 report, we surveyed 500 data leaders from large organizations across eight major industries to categorize participants into four unique stages of data maturity, identify key focuses and themes for the years ahead, and pinpoint investment opportunities for businesses at every stage of the data innovation journey.

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