Creating a Faster Cooperative Data Science Workflow with Datameer and Amazon SageMaker

February 2, 2019

If you’re going to do machine learning work right, you’re going to need well-honed data sets to build your models on. It is not just about cleaning up the data. It is also about discovering data that is relevant to the problem at hand, finding more data to increase accuracy, integration data from multiple sources, aggregating values etc. Four of the seven stages in a data science lifecycle involve getting intimate with your data (see image). But in terms of time, these four stages can consume 90% or more of the data science analytic lifecycle.

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OTHER WHITEPAPERS
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Enterprise Data Orchestration

whitePaper | June 3, 2021

Data growth continues at an exponential rate even as cloud architectures make data management more complex and advanced applications necessitate more data movement. So what can be done to enable clean data capture and movement across an enterprise? Read this white paper to learn the requirements for data orchestration at scale and discover how you can build a holistic data architecture that enables successful DataOps.

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A Modern Data Architecture

whitePaper | April 7, 2021

Assembling the perfect data stack is impossible. But for most data teams, the path to leveraging rapidly evolving tech and best-in-class tools is even more difficult when it’s impeded by the pitfalls of monolithic legacy applications.

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Artificial Intelligence and National Security

whitePaper | November 26, 2019

Artificial intelligence (AI) is a rapidly growing field of technology with potentially significant implications for national security. As such, the U.S. Department of Defense (DOD) and other nations are developing AI applications for a range of military functions. AI research is underway in the fields of intelligence collection and analysis, logistics, cyber operations, information operations, command and control, and in a variety of semiautonomous and autonomous vehicles. Already, AI has been incorporated into military operations in Iraq and Syria. Congressional action has the potential to shape the technology’s development further, with budgetary and legislative decisions influencing the growth of military applications as well as the pace of their adoption.

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The Path to Self-Service Analytics on the Data Lake: Asset

whitePaper | May 2, 2022

Download this white paper to get a step-by-step roadmap for adopting Dremio and migrating workloads while maintaining coexistence and interoperability with existing systems and technologies.

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Enterprise analytics: Ideal vs. Reality

whitePaper | September 28, 2021

Read on to learn how the Cloudera Data Platform accelerates your on-premises data analytics operations in a manner reminiscent of the cloud, unlocking flexibility, scale, and power from your traditional, on-premises data center.

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Architecting for HIPAA Security and Compliance on Amazon Web Services

whitePaper | January 27, 2020

AWS maintains a standards-based risk management program to ensure that the HIPAA-eligible services specifically support the administrative, technical, and physical safeguards required under HIPAA. Using these services to store, process, and transmit PHI allows our customers and AWS to address the HIPAA requirements applicable to the AWS utility-based operating model.

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Spotlight

Topcoder

Topcoder's crowdsourcing marketplace connects companies with a community of over 1.1 million of the world's best technologists. Driven by competition, our members' winning solutions provide innovation, speed, and cost benefits that no other approach can achieve. Whether you're building applications, creating new designs, or tackling tough data problems, Topcoder provides an alternative to hours-based models. You pay only for results.

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