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제목 [기본] [MapR] Deep Learning을 위한 MEP(MapR Expansion Pack) 출시 날짜 2018.02.09 10:22
글쓴이 관리자 조회 2683

세계 유일의 상용 하둡 단일 플랫폼 메이커인 MapR은 Data Scientist들을 위한 MEP(MapR Expansion Pack)를 출시하였습니다. 이를 통해 End to End workflow를 단순화하고 Deep Learning Pipeline을 생성하여 다양한 데이터와 Ad-hoc 쿼리로 운영 데이터 처리에 대한 효율을 2배로 증가 시킬 수 있습니다. 자세한 내용은 아래 기사 내용을 확인하시기 바랍니다.

 


MapR Simplifies End-to-End Workflow for Data Scientists  

 

Today we announced the immediate availability of the MapR Expansion Pack (MEP) 4.1, enabling data scientists and engineers to create scalable deep learning pipelines, make operational data instantly available for data science, and achieve over 2X performance improvements across a variety of data discovery and ad-hoc queries. MEP 4.1 expands the ability to build real-time pipelines and brings data science capabilities to a broad set of users with new languages support.

“We are focused on enabling a variety of users to be productive on MapR on both development and deployment, allowing them to leverage all data effortlessly regardless of the data’s location on prem, in the cloud or at the edge,” said Neeraja Rentachintala, senior director, database and analytics, MapR. “The latest release of the MapR Expansion Pack gives the data scientist community an option to use their language of choice, Python, for high-performance data analysis on operational data, defining real-time workflows to read/write data into MapR database, and pain free deployment by simplifying the Python library distribution across the cluster.”

 

 

 

Call us today at 1-855-NOW-MAPR or email info@mapr.com to learn how you can win with your data. 

 


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