While some companies struggle with big data platforms, Aetna has found a high degree of success with its Data Fabric platform. Aetna’s Data Fabric platform is based on the Hadoop technology stack but has integrated many different technologies to create a robust data lake and advanced analytics platform to meet the needs of Aetna’s data scientists and analytics practitioners.
Occhio Orsini offers an overview of the Data Fabric platform. Join in to learn the needs and desires at Aetna that led to the creation of the advanced analytics platform, explore the platform’s architecture, technology, and capabilities, which includes Data Fabric as well as related analytics solutions, and understand the key technologies and capabilities that made it possible to build a hybrid solution across on-premises and cloud-hosted data centers. Along the way Occhio discusses the analytics solutions that leverage this platform, the strengths and weakness of this Data Fabric architecture along with some of the challenges Aetna has faced and how they were overcome, and examples of machine learning projects that are hosted on this platform.
Occhio Orsini is senior data science architect at Aetna, where he leads the solution engineering and architecture efforts to build Aetna’s Data Fabric, which supports the companies advanced analytics initiatives across the organization. Occhio has over 25 years’ experience building data and analytics technology platforms. He started his career in application development and then spent time developing database engine technology and internet search technology for heritage Ascential software (acquired by IBM); played a central role in creation of the IBM Information Server Suite; and worked on the strategy and adoption of data analytics and data governance platforms for Aetna’s Enterprise Architecture Group.
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