DELL EMC ISILON ONEFS OPERATING SYSTEM

January 31, 2019

We are seeing an explosion in the growth of data today. Not surprisingly, many industry experts believe that we have entered a new era of Big Data. Along with accelerating growth of new data, the composition of new data is also changing significantly from traditional structured, block data to much more unstructured, file-based data. In excess of 85% of new storage capacity installed in organizations around the world is for file-based data. This new world of Big Data is introducing major challenges for enterprise IT managers as well as significant opportunities for businesses across all industry segments. To deliver the optimal storage platform for Big Data, a storage system must provide: Massive capacity: To accommodate very large and growing data stores, or data lakes.

Spotlight

Xiatech

Connect systems, unify data, and make AI-guided recommended decisions with a continuous flow of actionable insights in one platform - Xfuze. At Xiatech, we are on a mission to reduce the complexity, cost, and delays of business transformation. This is vital because 84% of digital transformation projects fail because organisations rely on outdated, disconnected, and expensive tools not developed for today when real-time interactions of systems and data-driven decisions are essential for success.

OTHER WHITEPAPERS
news image

THE COMPUTEINFRASTRUCTURE NEEDED FOR PREDICTIVE ANALYTICS

whitePaper | November 26, 2019

Modernized organizations are leveraging the transformative benefits of predictive analytics to propel their business forward. Predictive analytics arm you with knowledge and insights that can make the difference between profits and losses. They use modeling, machine learning, and artificial intelligence to analyze current data and make predictions about the future. Every industry can benefit from predictive analytics. Those who ignore the potential here are squandering a huge opportunity to grow or create better experiences. The recent dramatic progress in AI-based predictive analytics and machine learning provides organizations with the power to unlock tremendous value from previously hard to decipher data. Through the power of AI-enabled infrastructure, you can harness the predictive analytics/machine learning wave and gain business advantages that will not only keep you in the game, but at the leading edge. Automated server capabilities and the right server for the job will get you where you need to go. This eBook focuses in on how server automation, along with the right servers for the workload, empowers companies to make great strides in the world of machine learning and predictive analytics.

Read More
news image

Analytical Data Infrastructure MarketStudy (Excerpt)

whitePaper | June 23, 2021

Analytical data infrastructure (ADI) platforms underpin key analytics models via processes like data integration, preparation, management, and storage. But with complex cloud architectures, as-a-service offerings, and innovative new analytics and process developments, how can the discerning expert choose the right ADI offerings for their business?

Read More
news image

Accountability and Traceability White Paper & Research Roadmap

whitePaper | April 18, 2023

The MIT Future of Data Initiative is leading a multi-disciplinary research agenda to design and stimulate the deployment of consumer-empowering and accountable systems to provide trusted, traceable uses of personal data on an ecosystem-wide scale. The Initiative has gathered together computer science and Internet policy researchers as well as leading commercial enterprises in financial services, payment technology, cloud platforms, insurance and other sectors to discuss current challenges and opportunities in privacy and data governance. Today’s modern privacy laws place appropriately high expectations on organizations processing personal data. At the same time, consumers report declining trust in those who handle their personal data and regulators around the world struggle with the scale of the enforcement challenge. We aim to identify and put into service technical infrastructure for enterprises seeking to handle personal data in a trustworthy and lawful manner with guardrails to enable the traceable, accountable, and scalable use of data.

Read More
news image

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.

Read More
news image

6 best practices for cloud data integration

whitePaper | September 1, 2022

Organizations often adopt a hybrid cloud strategy when deploying their first analytical solution to the cloud. The cloud combines sheer infinite scalability with consumption-based pricing. These are desirable attributes for analytical environments that require scalability and can be very expensive when scaled for maximum capacity over an extended period.

Read More
news image

Creating A New Governance Era with A Data Operating System

whitePaper | October 27, 2022

Data governance is on everyone’s mind as we move from a static model of data to a dynamic, living, breathing data architecture. As many brilliant people have already said, data — and knowledge in general — is full of “ghosts,” or implicit knowledge existing within any organization that never makes it to documentation. Ghosts affect companies in both data and people spheres, making it challenging to modernize legacy architectures or bring new talent on board. Even more, it makes using data a challenge.

Read More

Spotlight

Xiatech

Connect systems, unify data, and make AI-guided recommended decisions with a continuous flow of actionable insights in one platform - Xfuze. At Xiatech, we are on a mission to reduce the complexity, cost, and delays of business transformation. This is vital because 84% of digital transformation projects fail because organisations rely on outdated, disconnected, and expensive tools not developed for today when real-time interactions of systems and data-driven decisions are essential for success.

Events