Informatica’s HParser is the industry’s first data parser for Hadoop. In this video, Ronen Schwartz of Informatica describes what drove the development of HParser and why the company choose to run MapReduce.
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Turning Big Data into better data with MLOps
In this special guest feature, Chida Sadayappan, Lead Specialist for Data Cloud and Machine Learning at Deloitte Consulting, discusses Machine Learning Operations (MLOps). This emerging discipline uses automation to accelerate ingestion of data and to more quickly develop, test, deploy, and monitor cloud machine learning (ML) models that use Big Data. Taken together, these steps comprise governance practices that help ensure the integrity of data throughout its life cycle.
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Interview: Global Technology Leader PNY
The following whitepaper download is a reprint of the recent interview with our friends over at PNY to discuss a variety of topics affecting data scientists conducting work on big data problem domains including how “Big Data” is becoming increasingly accessible with big clusters with disk-based databases, small clusters with in-memory data, single systems with in-CPU-memory data, and single systems with in-GPU-memory data. Answering our inquiries were: Bojan Tunguz, Senior System Software Engineer, NVIDIA and Carl Flygare, NVIDIA Quadro Product Marketing Manager, PNY.
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