Cloudera
JUNE 2, 2021
Data pipelines are in high demand in today’s data-driven organizations. As critical elements in supplying trusted, curated, and usable data for end-to-end analytic and machine learning workflows, the role of data pipelines is becoming indispensable.
Cloudera
NOVEMBER 19, 2021
As we explain in our eBook , COPML is a comprehensive approach to ML model development and operation that takes a structured approach to the “ML wrangling” problems many enterprises face. An enterprise machine learning workflow from data engineers to business users. The Critical Role COPML Plays in Your Production ML Success.
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Cloudera
NOVEMBER 16, 2022
Overall, it struck me that while data science is not new, most firms are still defining the mission of the data office and data officer. It’s clear firms seek to leverage data and embrace its potential insights, but most are forging ahead in largely uncharted territory.
TIBCO - Connected Intelligence
MAY 20, 2020
Just as you wouldn’t train athletes and not have them compete, the same can be said about data science & machine learning (ML). Model Ops is the process of operationalizing data science by getting data science models into production and then managing them. Model Operations, or Model Ops, is the answer.
Cloudera
FEBRUARY 17, 2021
Streaming data (or data-in-motion) is one such technology space that thrived during these times. Cloudera DataFlow (CDF), the industry’s leading real-time streaming data platform, was truly at the frontlines helping our customers find clarity with their data during these dark times.
Cloudera
SEPTEMBER 17, 2020
For enterprise organizations, managing and operationalizing increasingly complex data across the business has presented a significant challenge for staying competitive in analytic and data science driven markets. CDP data lifecycle integration and SDX security and governance. Enterprise Data Engineering From the Ground Up.
Apiumhub
AUGUST 12, 2021
This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.
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