Machine Learning Off-The-Shelf Open Source Storage 
Cloudera
JULY 24, 2023
In their effort to reduce their technology spend, some organizations that leverage open source projects for advanced analytics often consider either building and maintaining their own runtime with the required data processing engines or retaining older, now obsolete, versions of legacy Cloudera runtimes (CDH or HDP).
O'Reilly Media - Ideas
JANUARY 8, 2019
In a recent O’Reilly survey , we found that the skills gap remains one of the key challenges holding back the adoption of machine learning. For most companies, the road toward machine learning (ML) involves simpler analytic applications. Increasing focus on building data culture, organization, and training.
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Cloudera
SEPTEMBER 21, 2021
With 100s of open source operators, Airflow makes it easy to deploy pipelines in the cloud and interact with a multitude of services on premise, in the cloud, and across cloud providers for a true hybrid architecture. . Airflow users can avoid writing custom code to connect to a new system, but simply use the off-the-shelf providers.
O'Reilly Media - Ideas
MARCH 31, 2020
If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). A lot to learn, but worthwhile to access the unique and special value AI can create in the product space. Why AI software development is different.
Netflix Tech
NOVEMBER 22, 2019
4:45pm-5:45pm NFX 209 File system as a service at Netflix Kishore Kasi , Senior Software Engineer Abstract : As Netflix grows in original content creation, its need for storage is also increasing at a rapid pace. In this session, we share our philosophy and lessons learned over the years of operating stateful services in AWS.
Netflix Tech
NOVEMBER 22, 2019
4:45pm-5:45pm NFX 209 File system as a service at Netflix Kishore Kasi , Senior Software Engineer Abstract : As Netflix grows in original content creation, its need for storage is also increasing at a rapid pace. In this session, we share our philosophy and lessons learned over the years of operating stateful services in AWS.
Altexsoft
JUNE 7, 2019
If your company is among them, you will need to label massive amounts of text, images, and/or videos to create production-grade training data for your machine learning (ML) models. That means you’ll need smart machines and skilled humans in the loop. So how do you choose the data labeling tool to meet your needs?
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