Big Data Management

Trellix Data Protection

August 2, 2022

Trellix Data Protection
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.

Spotlight

The Big Data Company

Discover the power of cognitive computing to increase your profitability. One of the goals of data science is real-time access to Big Data for profitability analytics. This data should include the organization's complete workflow, including costs, revenues, profits, back office, and customer interactions.

OTHER WHITEPAPERS
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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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Data Beyond Borders 3.0

whitePaper | July 6, 2023

Cross border data flows came to prominence under Japan’s G20 Presidency in 2019, with the Data Free Flow with Trust (DFFT) framework. Since then, the G20 Presidencies have set DFFT as a major priority in the promotion of worldwide digitisation, building the pillars that led G7 leaders to endorse and commit to a roadmap for cooperation on DFFT. Cross-border e-commerce has had a 45-fold increase1 in a decade, reaching an estimated USD2.7 trillion by 2023.2 Nearly two-thirds of global commerce is related to digital technology, with companies and governments investing an estimated USD6.8 trillion in digital transformation initiatives between 2020 and 2023.3

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Using Alation to Accelerate Your Active Data Governance

whitePaper | December 9, 2022

In Data Governance Methodology, we described why a modern active data governance methodology is superior to a traditional top-down methodology and how active data governance is supported by continuous improvement. We also discussed how a data governance process based on continuous improvement is a key component of a DataOps process.

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Big Data and Big Insights

whitePaper | June 10, 2022

The past few years have witnessed exponential growth in data volumes, forms and sources of data. To handle this ever increasing complexity and dimensionality, an Intelligent Framework for knowledge discovery is required. This framework should also support text analysis, visualization, intelligent search, man-machine interface, data management, geo-spatial, temporal data processing including statistics processing. A holistic approach based on Artificial Intelligence and Advanced Analytics provides such a framework. It brings forth a breakthrough natural language-based cognitive technology, which provides instant access to powerful predictive and visual analytic tools for businesses in general and market research in particular.

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SQL to NoSQL: Architecture Differences and Considerations for Migration

whitePaper | May 26, 2022

Since their invention in 1970 by Edgar Codd, relational databases have served as the default data store for almost every IT organization, large or small. Today, the most iconic and familiar relational databases include IBM DB2, Oracle Database, Microsoft SQL Server, PostgreSQL, and MySQL.

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Modernizing Clinical Data Management to Be Scalable, Flexible, and Intelligent

whitePaper | May 26, 2022

Clinical trials are becoming more complex and a confluence of forces—including the ongoing COVID-19 pandemic, greater emphasis on patient experience, increasing protocol complexity, and precise value differentiation—is accelerating this complexity. Trials have evolved to include an ever-expanding array of data sources, increased data volume and precision, decentralized clinical trials (DCT), and adaptive designs.

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Spotlight

The Big Data Company

Discover the power of cognitive computing to increase your profitability. One of the goals of data science is real-time access to Big Data for profitability analytics. This data should include the organization's complete workflow, including costs, revenues, profits, back office, and customer interactions.

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