Remove 2017 Remove Data Governance Remove Data Processing
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Themes and Conferences per Pacoid, Episode 11

Domino Data Lab

For more background about program synthesis, check out “ Program Synthesis Explained ” by James Bornholt from 2015, as well as the more recent “ Program Synthesis in 2017-18 ” by Alex Polozov from 2018. A Program Synthesis Primer ” – Aws Albarghouthi (2017-04-24). A Program Synthesis Primer ” – Aws Albarghouthi (2017-04-24).

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

Paco Nathan ‘s latest column dives into data governance. This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form.

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Alation Accelerates Growth and Global Impact — and Welcomes 2 New Leaders

Alation

The CDO of The Very Group, Steve Pimblett, is an Alation champion who’s overseen incredible momentum around data use within his own organisation. This multi-brand online retailer hosts thousands of products for sale on the internet and collects millions of bits and bytes of data across customer touchpoints each day.

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Alation Accelerates Growth and Global Impact — and Welcomes 2 New Leaders

Alation

The CDO of The Very Group, Steve Pimblett, is an Alation champion who’s overseen incredible momentum around data use within his own organisation. This multi-brand online retailer hosts thousands of products for sale on the internet and collects millions of bits and bytes of data across customer touchpoints each day.

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What Is Alation Connected Sheets? Q&A with the Creators

Alation

It is also hard to know whether one can trust the data within a spreadsheet. And they rarely, if ever, host the most current data available. Sathish Raju, cofounder & CTO, Kloudio and senior director of engineering, Alation: This presents challenges for both business users and data teams.

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How Volkswagen Autoeuropa built a data mesh to accelerate digital transformation using Amazon DataZone

AWS Big Data

The data mesh, built on Amazon DataZone , simplified data access, improved data quality, and established governance at scale to power analytics, reporting, AI, and machine learning (ML) use cases. After the right data for the use case was found, the IT team provided access to the data through manual configuration.