Remove 2018 Remove Big Data Remove Data Warehouse Remove Risk
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How FanDuel adopted a modern Amazon Redshift architecture to serve critical business workloads

AWS Big Data

More and more of FanDuel’s community of analysts and business users looked for comprehensive data solutions that centralized the data across the various arms of their business. Their individual, product-specific, and often on-premises data warehouses soon became obsolete.

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Data Governance and Metadata Management: You Can’t Have One Without the Other

erwin

Therefore, most enterprises have encountered difficulty trying to master data governance and metadata management, but they need a solid data infrastructure on which to build their applications and initiatives. Data Governance Attitudes Are Shifting. Metadata Management Takes Time.

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Data Governance Makes Data Security Less Scary

erwin

In July 2019, British Airways received the biggest GDPR fine to date ($229 million) because the data of more than 500,000 customers was compromised. percent of its global annual revenue, because 330 million hotel guests were affected by a breach in 2018. The Regulatory Rationale for Integrating Data Management & Data Governance.

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Cloudera + Hortonworks, from the Edge to AI

Cloudera

In 2008, I co-founded Cloudera with folks from Google, Facebook, and Yahoo to deliver a big data platform built on Hadoop to the enterprise market. We believed then, and we still believe today, that the rest of the world would need to capture, store, manage and analyze data at massive scale. Forward-Looking Statements.

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A New Era in Data Warehousing

Cloudera

It goes unnoticed but cyber threats are routinely hunted down by correlating hundreds of attributes from disparate data sources – even as data types and formats evolve. Leading insurers are underwriting policies with lower risks. We call it ‘Modern Data Warehousing’. The key ingredient is something we call H-3.

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Now Available: Cloudera Data Science Workbench Release 1.4

Cloudera

With CDSW, organizations can research and experiment faster, deploy models easily and with confidence, as well as rely on the wider Cloudera platform to reduce the risks and costs of data science projects. This leads to wasted time and effort during research and collaboration or, worse, compliance risk.

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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). More Policies Emerged” (2010-2018). a second priority?at