Business Intelligence, Big Data Management

Data Encryption Technologies for data protection on the Now Platform

December 29, 2022

Data Encryption Technologies for data protection
At ServiceNow, protecting customer data is a top priority. Different customers have different use cases, so we provide a range of encryption options for maximum security and flexibility. This document provides an overview of these options and is broken into three sections:

Spotlight

Drawn to Scale

As hard as Big Data is to scale, real-time makes it even harder. Spire simplifies both, and does a whole lot more: real-time Big Data and SQL plus enterprise-ready deployment and management. Built on Hadoop Spire is built on Hadoop, the most scalable and reliable foundation for Big Data. Hadoop is great, and Spire goes far beyond with a revolutionary distributed index that gives real-time performance — in-bound and out-bound — and simplifies queries, including support for SQL. And, Spire simplifies and automates cluster management, reducing the cost and complexity of managing Big Data. Designed for developers Whether you’re an experienced Big Data developer or you’re starting your first Big Data project, you’ll find that Spire excels at what matters most: helping you create an awesome application quickly and without any hassles. To learn more about Spire or to join our private beta, just click here. We’d love to hear from you.

OTHER WHITEPAPERS
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Enhancing data mesh: How distributed ledger solutions empower decentralized governance

whitePaper | June 27, 2023

Data mesh is an innovative approach to data management that offers a solution to the most common challenges organizations face when dealing with large-scale data management. Data mesh concept consists of four key principles for large-scale data management in a multi-tiered, multi-domain organizational structure: domainoriented ownership, data as product, federated computational governance and a self-service data platform. These all promote a more agile, efficient and scalable data architecture. However, one of the central challenges to implementing data mesh is designing decentralized governance mechanisms that align with its core principles.

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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.

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Architecting for HIPAA Security and Compliance on Amazon Web Services

whitePaper | January 27, 2020

AWS maintains a standards-based risk management program to ensure that the HIPAA-eligible services specifically support the administrative, technical, and physical safeguards required under HIPAA. Using these services to store, process, and transmit PHI allows our customers and AWS to address the HIPAA requirements applicable to the AWS utility-based operating model.

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7 Trends for Data Science in 2021

whitePaper | May 5, 2021

Over the last decade, interest in the field of data science has not only increased enormously, but has also changed and developed considerably. In view of the new technological advances and the constant growth of data, we expect Data Science to continue to develop strongly in 2021. We have identified 7 trends that will be relevant for the coming year.

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Do No Harm Guide Centering Accessibility in Data Visualization

whitePaper | December 29, 2022

Every day we are inundated with tables, graphs, charts, and maps explaining everything, including the unemployment rate, COVID-19 vaccination rates, baseball home run launch velocities, and our investment portfolios. When made well, data visualizations can help readers and users find insights and make discoveries. When made poorly, they obfuscate, mislead, or make it difficult for people to use them effectively.

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Advanced Analytics for Decision Making

whitePaper | November 25, 2022

We live in a world of exponentially growing data. Within these massive datasets lies incredible potential, but only if users are equipped with tools capable of managing big data at scale and without lag.

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Spotlight

Drawn to Scale

As hard as Big Data is to scale, real-time makes it even harder. Spire simplifies both, and does a whole lot more: real-time Big Data and SQL plus enterprise-ready deployment and management. Built on Hadoop Spire is built on Hadoop, the most scalable and reliable foundation for Big Data. Hadoop is great, and Spire goes far beyond with a revolutionary distributed index that gives real-time performance — in-bound and out-bound — and simplifies queries, including support for SQL. And, Spire simplifies and automates cluster management, reducing the cost and complexity of managing Big Data. Designed for developers Whether you’re an experienced Big Data developer or you’re starting your first Big Data project, you’ll find that Spire excels at what matters most: helping you create an awesome application quickly and without any hassles. To learn more about Spire or to join our private beta, just click here. We’d love to hear from you.

Events