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The Future Is Hybrid Data, Embrace It

Cloudera

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 110
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The Future Is Hybrid Data, Embrace It

CIO Business Intelligence

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 97
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Training the Next Generation of Data Leaders: The Data Intelligence Project

Alation

Dr. Haigh is a Fulbright Scholar and associate professor at the School of Information Studies since 2011. She saw that Alation could help students accomplish four course objectives: Learn how data is structured and can be organized. Alation has helped them nurture data research, collaboration and analytical skills,” she continues.

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Build efficient, cross-Regional, I/O-intensive workloads with Dask on AWS

AWS Big Data

Data scientists have access to the Jupyter notebook hosted on SageMaker. The OpenSearch Service domain stores metadata on the datasets connected at the Regions. Notebook users can query this service to retrieve details such as the correct Region of Dask workers without needing to know the data’s Regional location beforehand.

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

It includes perspectives about current issues, themes, vendors, and products for data governance. My interest in data governance (DG) began with the recent industry surveys by O’Reilly Media about enterprise adoption of “ABC” (AI, Big Data, Cloud). We keep feeding the monster data. the flywheel effect.

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The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act

Occam's Razor

Maybe they analyzed the metadata from pictures and found that there was a strong correlation between properties that rented often and expensive camera models. Airbnb had enough data points to be confident in their results. By 2011, the company had 20 full-time photographers on staff. The graph is impressive, right?

Metrics 156
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Becoming a machine learning company means investing in foundational technologies

O'Reilly on Data

Use ML to unlock new data types—e.g., Consider deep learning, a specific form of machine learning that resurfaced in 2011/2012 due to record-setting models in speech and computer vision. Thus, many developers will need to curate data, train models, and analyze the results of models. A typical data pipeline for machine learning.