Resources

MongoDB & Google Cloud Launch Event Poland

Watch the recording of our first ever event for Poland, presented by our MongoDB and Google Cloud teams! You’ll hear from our local leaders and industry experts both on the MongoDB and Google Cloud side and get to know our extended Polish team that is going to support you and your business. The event will help you use MongoDB Atlas, our fully-managed cloud database, to its full potential as we are showcasing some of the most interesting use cases in eCommerce, Retail, FSI and beyond. Here is the event agenda: Welcome Keynote E-commerce evolution in MACH - speed Data mesh for Financial services MongoDB Atlas on Google Cloud - accelerate innovation in your business (presented in Polish) Q&A

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MongoDB and AWS Immersion Day: IoT eWorkshop (AMER)

This eWorkshop will help you through MongoDB Atlas, our fully-managed database platform, utilizing a Time Series dataset to show the full capability of deploying MongoDB Atlas on AWS. Watch the recording to unlock the full power of your IoT data and gain a competitive advantage when working on MongoDB Atlas. This eWorkshop covers: Creating a cluster using MongoDB Atlas Overview of native Time Series support in MongoDB How to create a Time Series collection How to query, analyze, and visualize Time Series data Strategies for ongoing management of time-based data

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MongoDB 高級查詢

資料庫查詢效能可能是令開發團隊相當頭痛難解的問題，但也可能是應用系統功成名就的無名英雄。 MongoDB 採用索引機制有效地提昇資料庫查詢效能。 本次網絡研討會，我們將分享一些 MongoDB 資料庫查詢語法的最佳實踐，討論複合索引的重要性，並介紹數據庫如何透過索引機制加速查詢效能。

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Talend

Talend is an open source software vendor that provides data integration, data management, enterprise application integration and big data software and services. Talend provides integration solutions that truly scale for any type of integration challenge, any volume of data, and any scope of project, no matter how simple or complex. Talend’s highly scalable data, application and business processes integration platform leverages all information assets and accelerates dramatically the time-to-value of integration. Ready for big data, Talend’s flexible architecture easily adapts to future IT platforms. A common set of easy-to-use tools implemented across all Talend products maximizes the skills of integration teams, too. Unlike vendors offering closed and disjointed solutions, Talend offers an open and flexible platform, supported by a predictable subscription model. Click on the link below to download the joint solutions brief.

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SolidFire

SolidFire’s all-flash, distributed storage architecture combines dynamic Quality of Service (QoS) performance control with the simplicity and scalability delivered in a MongoDB environment. Running MongoDB on SolidFire enables the architectural flexibility of MongoDB. Admins are no longer shackled to the limitations imposed by traditional storage architectures by having the flexibility to match their MongoDB infrastructure to business needs, rather than the other way around. Ideal for MongoDB’s document database, providing high performance, high availability and easy scalability, SolidFire enables you to: Dynamically adjust storage performance for optimal throughput and latency Flexibly align storage resources to MongoDB infrastructure in support of application needs Horizontally scale storage resources to meet the demands of rapid application data growth Drastically simplify and speed replica set management with instant cloning Guarantee IOPS to each shard in a MongoDB cluster with on-the-fly adjustments as workloads dictate For MongoDB workloads, SolidFire unmatched performance predictability, management simplicity and scale, helping speed the adoption and optimization of MongoDB deployments in enterprises worldwide. Fill out the form on this page to download our joint solutions brief.

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Nutanix

Nutanix delivers invisible infrastructure for next-generation enterprise computing including MongoDB, elevating IT to focus on the applications and services that power their business. The company’s software-driven Xtreme Computing Platform natively converges compute, virtualization and storage into a single solution to drive simplicity in the datacenter. Using Nutanix, MongoDB customers benefit from predictable fast performance, linear scalability and cloud-like infrastructure consumption. Nutanix XCP Nutanix Solutions for Enterprise Applications Nutanix Solutions for Big Data

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New Relic

New Relic APM allows you to see your application performance trends at a glance – from page load times, to error rates, slow transactions, and a list of servers running the app. Within APM, database monitoring provides a detailed overview of your MongoDB performance - pointing out critical errors that are slowing down your application. New Relic APM provides a unified dashboard for all SQL databases and NoSQL caches instrumented by our language agents. Even better is the ability to filter the page to show only operations, charts, and metrics for a specific data store type. This can be extremely helpful for developers trying to optimize the performance of their app, and for ops engineers who have to troubleshoot and support it. Cloud Manager now has the ability to send its monitoring data into the New Relic Plugins and New Relic Insights products. Data that is viewable in the Cloud Manager interface is sent to New Relic so that customers can view their metrics within a single pane of glass. Beyond just monitoring, New Relic Insights can create powerful visualizations and aggregations from this monitoring data, enabling operations teams and business owners to better understand and track how users interact with their applications Fill out the form on this page to download the joint solutions brief or visit their website to learn more. Learn how to extend the power of New Relic with the MongoDB Cloud Manager plugin. Start a free trial today .

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JasperSoft

Jaspersoft's open source business intelligence software has more than 14 million product downloads worldwide, 175,000 production deployments and over 14,000 commercial customers in 100 countries. Its BI suite is advanced regularly by a development community of more than 225,000 registered members. Jaspersoft's intelligent connector integrates MongoDB with the full Jaspersoft BI Suite, providing flexible and affordable reporting, ad hoc analysis, and dashboarding of MongoDB data. As a result, both business and technical users can visualize and analyze MongoDB data more rapidly for competitive advantage. JasperReports Server supports native connections to MongoDB, both on-premises and in the Cloud on Amazon, CloudFoundry, OpenShift, and other environments. MongoDB works with Jaspersoft to support the JasperReports Server connector for MongoDB. Click on the link below to read the joint solutions brief. Video Jaspersoft Tech Talks Episode 13: MongoDB Reporting and Analytics

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Alteryx

Alteryx is the leader in data blending and advanced analytics software. Alteryx Analytics provides analysts with an intuitive workflow for data blending and advanced analytics that leads to deeper insights in hours, not the weeks typical of traditional approaches. Analysts love the Alteryx analytics platform because they can deliver deeper insights by seamlessly blending internal, third party, and cloud data, and then analyze it using spatial and predictive drag-and-drop tools. This is all done in a single workflow, with no programming required. More than 400 customers, including Experian, Kaiser, Ford, and McDonald's, and 200,000+ users worldwide rely on Alteryx daily. Fill out the form on this page to download our solutions brief and learn more.

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Simplifying Content Discovery

Building Competitive Edge with Search and Real-time Recommendations Media & Entertainment companies spend billions every year to create and distribute content through their respective platforms. Users have a myriad of options at their fingertips, so keeping them engaged is the ultimate challenge to driving business results. The key to increase engagement is making relevant content discoverable through personalized recommendations and an excellent search experience. Both processes (recommendation and search) are the building blocks of Content Discovery. Making content discoverable for users might look straightforward at first, but its effective implementation at scale is a far cry from easy. People have come to expect ultra-personalized, multi-device consistent experiences, any time, anywhere. In this paper, we will cover how MongoDB helps Media & Entertainment companies make content more discoverable by unifying real-time recommendations and best-in-class search capabilities - powered by the market-leading search engine Apache Lucene - under a single Application Data Platform. Download the whitepaper now to learn more.

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5-Step Guide to Replacing Elasticsearch and Apache Solr with Atlas Search

Elasticsearch and Solr are popular and proven search engines. However they introduce significant complexity for application search workloads because you have to bolt them onto your database and stand up a data pipeline to keep the two systems in sync. Atlas Search gives you a better way. Based on Apache Lucene, the same search technology underpinning Elasticsearch and Solr, Atlas Search integrates the database, search engine, and sync pipeline into a single, fully-managed platform. By compressing three systems into one you simplify your technology stack and deliver application search 30%-50% faster. Download our guide for 5-steps to make the switch to Atlas Search. The guide steps you through how to: Qualify target workloads for Atlas Search. Migrate your indexes to Atlas Search. Migrate your queries to Atlas Search. Validate and relevance-tune your Atlas Search queries and indexes. Size and deploy your Atlas Search infrastructure. The guide wraps up with examples of customers that have made the switch and provides guidance on how to get started with Atlas Search, along with key services that can help you in your journey.

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Best Practices Guide for MongoDB

MongoDB helps you build faster, more reliable applications for a wide range of use cases. In this best practices guide, you’ll find out how to get started using MongoDB so that you’re leveraging the inherent advantages of the document model when sending data to MongoDB. Topics covered include: Best practices for data modeling that leverage MongoDB's flexible document model to support your application How to use the Aggregation Pipeline Builder to leverage the stages and operators in the MongoDB Aggregation Framework Tips on improving performance by using index suggestions from the Performance Advisor and by getting rid of redundant indexes Start building faster today with MongoDB. Download the “Best Practices Guide for MongoDB” to learn more.

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