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.

Spotlight

ClearEdge

ClearEdge is a mission-driven technology thought leader grown out of the Intelligence Community that provides software engineering, big data, cloud, data analytics, data visualization, and data science solutions and services. As a small business, we are personally committed to responding to our customers' requirements by attracting and retaining only top-tier engineers and field experts.

OTHER WHITEPAPERS
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Trellix Data Protection

whitePaper | August 2, 2022

The volume of data has exploded across all sectors in the last decade. Enterprise data has grown enormously, and organizations must contend with more unstructured data than ever. In fact, 95 percent of businesses cite the need to manage unstructured data as a challenge.

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A Review of BioPharma Sponsor Data Sharing Policies and Protection Methodologies

whitePaper | September 12, 2022

This whitepaper examines clinical trial data contribution policies and the data protection methodologies applied to protect patient privacy. Information published by 29 biopharma sponsors was collected across three data-sharing platforms, collated by sponsor size. Results showed that large sponsor contribution policies can provide helpful benchmarks for medium and smaller sponsors.

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New Technology: The Projected Total Economic Impact™ Of IBM Cloud Pak For Data

whitePaper | May 24, 2022

Forrester Consulting provides independent and objective research-based consulting to help leaders succeed in their organizations. Ranging in scope from a short strategy session to custom projects, Forrester’s Consulting services connect you directly with research analysts who apply expert insight to your specific business challenges.

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A blueprint for data-driven insights

whitePaper | August 20, 2021

While finding and creating insights can often feel like luck, there are proven methodologies you can use to ensure you’re seeing regular insight from your on-hand data. Access this short e-book to learn how you can start seeing regular, valuable insight success from you big data and analytics investments.

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Why Multi-Cloud is Imperative to Any Modern Data Strategy

whitePaper | September 7, 2022

Today, organizations are increasingly seeking technologies that simplify the deployment of their application workloads in a multi-cloud design to get lower TCO, build best-of-breed solutions, and avoid vendor lock-in. Whether to optimize the costs of running and managing private cloud or to enable developer velocity to efficiently build the modern, intelligent applications of tomorrow, the benefits of multi-cloud offerings are an attractive proposition for enterprises.

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The Value of Oracle Enterprise Manager for Managing Oracle Databases

whitePaper | February 7, 2020

Multiple studies have proven that, while the business demand for databases grows, operational teams are constrained by traditional, reactive processes. Combined with budgetary pressures, this causes them to fall short in meeting the demand in a timely fashion. In addition, as companies adopt cloud paradigms, operational teams must manage across on-premises and cloud environments with the same resources. To be effective, companies need to shift from a reactive posture to one of standardization and proactive analysis and planning by leveraging intuitive tooling to automate manually intensive and non-value adding activities and to deliver real-time insights.

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Spotlight

ClearEdge

ClearEdge is a mission-driven technology thought leader grown out of the Intelligence Community that provides software engineering, big data, cloud, data analytics, data visualization, and data science solutions and services. As a small business, we are personally committed to responding to our customers' requirements by attracting and retaining only top-tier engineers and field experts.

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