MongoDB Atlas Best Practices
MongoDB Atlas is a database as a service from MongoDB, providing all of the features of the database, without the operational heavy lifting required for any new application. This guide describes the best practices to help you get the most out of the MongoDB Atlas service, including: schema design, capacity planning, security, and performance optimization.
Quantifying Business Advantage: The Value of Database Selection
Can the choice of database really dictate business outcomes? Consider: A leading insurance company delivering a new application in just 3 months, after struggling for 8 years with a legacy database. A global telecoms operators accelerating time to market by 4x and improving customer experience by 10x. A Tier 1 investment bank estimating savings of $40m. What do they all have in common? They all selected MongoDB to deliver applications never previously possible. Download the white paper to learn more
MongoDB Operations Best Practices
This document provides guidance on best practices for deploying and managing MongoDB clusters. It assumes familiarity with the architecture of MongoDB and a basic understanding of concepts related to enterprise software deployment. Because MongoDB is designed to be simple to administer and to deploy, most operations professionals find they can become competent with MongoDB in a short period of time and with minimal training.
Apache Spark and MongoDB – Turning Analytics into Real-Time Action
Apache Spark is one of the fastest growing big data projects in the history of the Apache Software Foundation. With its memory-oriented architecture, flexible processing libraries and ease-of-use, Spark has emerged as a leading distributed computing framework for real-time analytics.
Unlocking Operational Intelligence from the Data Lake
Hadoop-based data lakes are enabling organizations to efficiently capture unprecedented volumes of data generated by new classes of highly connected applications. But without being able to expose that data to operational applications, users are struggling to maximize returns on their Hadoop investments. Read this white paper to learn how to create an operational data lake.
Top 5 Considerations When Evaluating NoSQL Databases
Relational databases have a long-standing position in most organizations, and for good reason. But companies are increasingly considering alternatives to legacy relational infrastructure, such as non-tabular “NoSQL” databases. As companies evaluate these products, they should consider 5 critical dimensions to make the right choice for their applications and their businesses. In this paper, we describe these dimensions and show why MongoDB is the most widely used non-tabular database in the market.
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.
Subscriber Data Management
Subscriber Data Management (SDM) is core to the future of telcos, battling to prevent relegation to the status of a dumb pipe. In this white paper, you'll learn: The promise and challenges of SDM, including the rise of big data. Why MongoDB for SDM, with samples of subscriber data schema. SDM in Action with MongoDB - How Telefonica liberated its subscriber data. Resources to get started today.
MongoDB-as-a-Service: Top 10 Considerations
As more internal business units and project teams build modern applications on MongoDB, architects and operations teams can improve agility, efficiency, accountability and governance by offering MongoDB-as-a-Service. This white paper provides the top 10 considerations you make including: Systems design Virtualization and multi-tenancy Management, accounting and compliance
Bosch Software Innovations and MongoDB: Internet of Things and Big Data
MongoDB and Bosch Software Innovations have collaborated to build a powerful Internet of Things application platform to support new IoT business models. In this white paper you will learn: New use-cases enabled by the IoT Solutions to manage devices, assets and events in an IoT platform How to overcome the 5 key data management challenges presented by the IoT
Machina Research: How Big Data Impacts the IoT Landscape
As one of the leading M2M, IoT and Big Data research and consulting firms, Machina Research has unique insight into how big data presents challenges and opportunities in the rapidly evolving IoT landscape. Download their research note to learn: Key database requirements to address IoT applications Impacts to traditional data management technologies Alternative technologies that should be on your radar
Connecting with Global Audiences: Adobe Experience Manager & MongoDB
Adobe Experience Manager (AEM) 6 is a major step forward in enabling marketing teams to create, manage, and optimize digital customer experiences across channels. As a persistence layer for AEM, MongoDB introduces several new capabilities which we will explore in this white paper.