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Is Google Cloud Platform Ready to Run Your Data Analytics Pipeline?

Sanjeev Mohan

Is Google Cloud Platform Ready to Run Your Data Analytics Pipeline? I ended up writing two documents on data governance. By the middle of 2018, GDPR was in effect and our clients’ attention shifted towards cloud migration. The post Is Google Cloud Platform Ready to Run Your Data Analytics Pipeline?

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AI in Analytics: The NLQ Use Case

Sisense

When the app is first opened, the user may be searching for a specific song that was heard while passing by the neighborhood cafe, or the user may want to be surprised with, let’s say, a song from the new experimental album by a Yemen Reggae folk artist. NLQ can serve both of those experiences using an analytic moment or an exploration mode.

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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

In summary, Insurance carriers and brokers will need to ensure a sound data foundation and a smart use of the cloud to harness the value of the large amounts of disparate types of data. Analytics is a powerful capability enabler to help Insurers transform their operations and services.

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A New Era in Data Warehousing

Cloudera

A big part of this solution is our new public cloud PaaS product – Cloudera Altus Data Warehouse – that encompasses all the key elements outlined above and takes modern data warehousing to a completely new level. Learn more about Cloudera Altus Data Warehousing.

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Regeneron turns to IT to accelerate drug discovery

CIO Business Intelligence

Rigid requirements to ensure the accuracy of data and veracity of scientific formulas as well as machine learning algorithms and data tools are common in modern laboratories. When Bob McCowan was promoted to CIO at Regeneron Pharmaceuticals in 2018, he had previously run the data center infrastructure for the $81.5

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Havmor’s VP IT Dhaval Mankad on ‘melting’ hurdles with a scoop of digital innovation

CIO Business Intelligence

To add perspective, since I joined Havmor, the company has grown significantly, but not the workforce, having reduced by 30% compare to our numbers in 2018, thanks to digital innovation and transformation. What are some of the unique data and cybersecurity challenges that Havmor faces as a vast customer-centric business?

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Topics to watch at the Strata Data Conference in New York 2019

O'Reilly on Data

So, we used a form of the Term Frequency-Inverse Document Frequency (TF/IDF) technique to identify and rank the top terms in this year’s Strata NY proposal topics—as well as those for 2018, 2017, and 2016. Terms that relate to data engineering, data management, and data analytics dominate the top tiers of proposal topics.

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