Future Software and Data Ecosystem for Scientific Inquiry

June 10, 2019

This report summarizes five international workshops exploring the highly disruptive effects of the Big Data revolution on the development of future cyberinfrastructure for science. Beginning in 2013 as the Big Data revolution was gathering steam, this series included workshops in the US, Japan, the EU and China, as well as supplemental BoF’s and meetings at annual SC and ISC conferences. These meetings drew participation from all the main institutional branches of the HPC community, including academia, government laboratories, and private industry; and they included leaders from major scientific domains and from all the different segments of the research community involved in designing, developing, and deploying cyberinfrastructure for science.

Spotlight

SparklineData Inc.

Imagine how much your data scientists and business analysts could do if every query on your Big Data came back in a second. With Sparkline Data on Hadoop or S3 you can now get think-speed responses for your queries. A modern, Spark native platform, Sparkline Data provides an enterprise OLAP like functionality on Spark without the need to create and populate manual cubes. Sparkling Data is in production with multi-billion row and terabyte scale datasets across Adtech, Media and ERP data lakes.

OTHER WHITEPAPERS
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How Data Maturity and Product Analytics Improve Digital Experiences and Business Outcomes

whitePaper | October 5, 2022

As we assess the global business environment in the latter half of 2022, perhaps the best single word that describes the state of play is uncertainty. Planning for uncertainties is a significant part of what we, as business executives and individuals, do on a daily basis. In times of uncertainty, brands realize they must work even harder to retain customers and deepen relationships by delivering value and empathy at scale. As we analyze our uncertainties, we can take comfort and guidance from management guru Peter Drucker, who wrote that “strategy aims to exploit the new and different opportunities of tomorrow” (Managing in Turbulent Times, 1980).

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Building a Data Management Strategy for Your Nonprofit

whitePaper | June 14, 2022

In a digital-first world, every organization needs a data management plan. Yet, fewer than 25% of nonprofits report having a plan in place. This means data is infrequently shared across departments and rarely used to make decisions or predict future stakeholder behaviors. A data management plan is fundamental to make an impact and an attainable goal regardless of organization sizeor technological capacity. An effective data management plan takes into account your mission, staffing, time, budget, goals, existing technology, and more.

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Big Data Analytics and privacy & data protection

whitePaper | August 31, 2022

The rise of Big Data and Data Analytics provides great opportunities for organizations to realize new ways of doing business and will give a significant increase in added value. Organizations that do not ‘catch the Big Data Analytics train’ run the risk of falling behind. According to the European Commission1 the value of European citizens’ personal data has the potential to grow to nearly € 1 trillion a year by 2020.

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Dell Validated Design for Analytics — Data Lakehouse

whitePaper | August 23, 2022

Digital transformation has moved businesses from a mode of retrieving and organizing critical information in conventional data stores to a new goal: capturing and storing every bit that passes through the business. The number and diversity of data sources are constantly expanding. New horizons are recognized in data as a raw resource with potential for value creation, even if specific points of value cannot yet be discerned.

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Data Management with Cloudera Data Platform on Dell Infrastructure

whitePaper | December 14, 2022

This white paper provides overview information for the Dell Technologies Validated Design for Data Management with Cloudera Data Platform (CDP) Private Cloud Base, for deployment on Dell PowerEdge servers, PowerSwitch networking, and PowerScale storage.

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Targeted Attack Analytics

whitePaper | December 16, 2019

Symantec combines targeted attack analytics with research from our Attack Investigator Team (AIT) to find advanced attacks; our analytics evolve to match new attack patterns. Breach detection is one example of how our analytics help stop deliberate incursions.

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Spotlight

SparklineData Inc.

Imagine how much your data scientists and business analysts could do if every query on your Big Data came back in a second. With Sparkline Data on Hadoop or S3 you can now get think-speed responses for your queries. A modern, Spark native platform, Sparkline Data provides an enterprise OLAP like functionality on Spark without the need to create and populate manual cubes. Sparkling Data is in production with multi-billion row and terabyte scale datasets across Adtech, Media and ERP data lakes.

Events