Advanced Analytics with Spark: Patterns for Learning from Data at Scale

Build a model to detect credit card fraud using thousands of features and billions of transactions. Intelligently recommend millions of products to millions of users. Estimate financial risk through simulations of portfolios including millions of instruments. Easily manipulate data from thousands of human genomes to detect genetic associations with disease. These are tasks that simply could not be accomplished 5 or 10 years ago. When people say that we live in an age of “big data,” they mean that we have tools for collecting, storing, and processing information at a scale previously unheard of. Sitting behind these capabilities is an ecosystem of open source software that can leverage clusters of commodity computers to chug through massive amounts of data.

Spotlight

Sybase

For more than 25 years, Sybase has been a leader in developing and expanding innovative database technology. Since our founding in a Berkeley, Calif., home in 1984, we have earned the trust of many of the world’s leading companies for our ability to manage information and deliver unsurpassed levels of data reliability and security. Today, Sybase leads the industry in delivering enterprise and mobile software to manage, analyze and mobilize information. We are recognized globally as the performance leader, proven in the most data-intensive industries and across all systems, networks and devices.

OTHER WHITEPAPERS
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Forecasting the future of genomic data management

whitePaper | May 15, 2023

Genomics is the study of the complete set of DNA in a person or other organism. DNA underpins a large proportion of an individual's health and disease status, therefore a genomic medicine approach is increasingly being applied in clinical settings. Genomic medicine is where the study of clinical outcomes (measurable changes in health and well-being) is combined with genomics so researchers can better understand how a person’s genome contributes to disease. Increasingly, advances in our understanding of the genome are contributing to improvements in disease diagnosis, drug discovery and targeted therapeutics.

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Future of care: Patient-centricity with real-world predictive analytics

whitePaper | February 8, 2023

For centuries, patients have sought medical help for their ailments. Just as in the past, however, there are still many illnesses – both wellknown, widespread diseases and rare conditions – that initially cause few or inconclusive symptoms, and many patients leave the doctor’s office with an incorrect diagnosis. In addition, diseases may progress slowly or quickly depending on the individual.

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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 Graph is Key to The Modern Master Data Management Movement

whitePaper | August 1, 2022

The Graph database is fundamental to driving a much-needed breakthrough in the world of Master Data Management (MDM). Until now, traditional MDM systems have imposed strict rules and structures on how these projects are managed. This has cost enterprises dearly in terms of wasted time and resources and has been a major contributory factor to the failure of many MDM initiatives. Graph has changed all of that, allowing modern MDM platforms to completely redefine how master data is prepared for insight and used to deliver tangible business outcomes.

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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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The Total Economic Impact of Data Virtualization Using the Denodo Platform

whitePaper | August 9, 2022

Data virtualization helps organizations access data across disparate sources and deliver a unified view of the data faster, cheaper, and using fewer resources than traditional data integration approaches. In this TEI, data virtualization delivered 83% reduction in time-torevenue and 65% decrease in delivery times over extract, transform, and load (ETL) processes.

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Spotlight

Sybase

For more than 25 years, Sybase has been a leader in developing and expanding innovative database technology. Since our founding in a Berkeley, Calif., home in 1984, we have earned the trust of many of the world’s leading companies for our ability to manage information and deliver unsurpassed levels of data reliability and security. Today, Sybase leads the industry in delivering enterprise and mobile software to manage, analyze and mobilize information. We are recognized globally as the performance leader, proven in the most data-intensive industries and across all systems, networks and devices.

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