Resources

MongoDB Security Architecture

The frequency and severity of data breaches continues to escalate year on year, with researchers estimating attacks increasing nearly 50% year on year. Databases store an organization’s most important information assets, so securing them is top of mind for administrators.

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MongoDB Evenings Seattle: MongoDB Use Case in Healthcare

Case Study in Healthcare for MongoDB Mark Cassidy, CTO, Verity Solutions MongoDB Evenings Seattle October 20, 2016

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MongoDB’s Pluggable Storage Engine Architecture

Through the use of pluggable storage engines, MongoDB can be extended with new capabilities, and configured for optimal use of specific hardware architectures. This approach significantly reduces developer and operational complexity compared to running multiple database technologies. This white paper will discuss the different MongoDB storage engines and how to select which storage engine to use.

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RDBMS to MongoDB Migration Guide

This guide explains how to migrate from a relational database to MongoDB and the relevant technical considerations, such as differences between the tabular and document data models, and the implications for schema design. The guide also covers indexing, queries, transactions, application integration and data migration.

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Implementing an Operational Data Layer

An Operational Data Layer (or ODL) is an architectural pattern that centrally integrates and organizes siloed enterprise data, making it available to consuming applications. This white paper discusses why and how to implement an ODL.

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Overcoming the Barriers to Blockchain Adoption

Blockchain promises to drastically lower costs, increase data quality and vastly simplify business processes in a range of industries. In financial services and beyond, every company is excited by the possibilities of blockchain but they all face the same fundamental question: How can we operationalise blockchain into our existing environment, and rely on it as we do with our existing systems? Should an enterprise start from scratch or combine existing infrastructure and legacy systems? Is there a balanced approach where the benefits of blockchain can be realised without tearing down old legacy systems and starting again? During this event these questions were answered by a panel of entrepreneurs, inventors and experts who are at the vanguard of the blockchain movement. Read the presentation below to discover what they said.

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Matinée Big Data - A Modern Enterprise Architecture

Roman Gruhn, Director of Information Strategy, MongoDB

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Matinée Big Data - Etude de Cas: KPMG, l’innovation continue grâce au Data Lake MongoDB

Christian Taltas, Managing Director de KPMG Technologies Services France

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Mainframe Modernization Reference Architecture

To modernize legacy workloads and unlock business agility, an increasing number of enterprises are offloading applications from the mainframe to an Operational Data Layer powered by MongoDB. In this Reference Architecture, we show you how to do it.

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10-Step Methodology to Creating a Single View of your Business

Imagine if you could get a single source of truth for all of your business data—from product usage and supply chain information to machine data and financial stats. If this disparate data is separated into siloes (as it is in most companies), it can be incredibly difficult to get real-time insights from your ever-evolving business.

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Deep Learning and the Artificial Intelligence Revolution

Deep learning and AI have moved well beyond science fiction into the cutting edge of internet and enterprise computing. Access to more computational power, advancement of sophisticated algorithms, and the availability of funding are unlocking new possibilities unimaginable just five years ago. But it’s the availability of new, rich data sources that is making deep learning real. This whitepaper explores the evolution of AI, what we can expect in the future, and key considerations when selecting a database for deep learning projects.

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Cybersecurity: Building the Next Generation of Threat Intelligence with MongoDB

Cybersecurity threats are changing. In the past 12 months phishing attacks have grown 55%, intellectual property theft has increased 56%, ransomware is up 169%, and the average time to detect compromises has reached 200 days. In this whitepaper, we explore how data management can be used in modern cybersecurity initiatives to deliver the sophisticated behavioral insight and threat intelligence necessary to combat new classes of threats

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