MongoDB World 2019: Ticketek: Scaling to Global Ticket Sales with MongoDB Atlas

•

1 like•332 views

Learn how MongoDB Atlas has enabled Ticketek to grow rapidly across geographical boundaries and seamlessly support the adoption of new business initiatives. Tane Oakes, TEG Enterprise Architect, will do a deep dive on how MongoDB Atlas supports Ticketek's strategic multi-cloud initiative and how Ticketek uses MongoDB Stitch to establish a scalable and common API used by customers and partners. Tane will also explain how using MongoDB Atlas and MongoDB Stitch has helped reduce technical debt.

1
Ticketek: Scaling to Global Ticket Sales
with MongoDB Atlas
June 2019
Tane Oakes
Enterprise Architect

3
© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
NUMBER ONE
28
14
40
MILLION TICKETS
PER YEAR
MILLION
FANS
YEARS’
EXPERIENCE
AUSTRALIA AND
NEW ZEALAND’S
EVENT TICKETING AND
DIGITAL MARKETING
COMPANY
—
Independently verified by L.E.K Consulting

4
Pan Asia ticketing and
live entertainment
network.
Singapore ticketing
company.
Philippines leading
ticketing company.

6
300,000+
5 CONCERTS
5DIFFERENT CITIES
fans

8
Introduce Hot Shows and
Running at Scale

11
Microservice Resources
Amazon EC2
Amazon API Gateway
Amazon Simple Storage
Service (S3)
AWS Lambda
AWS Fargate
Web Application Resources
AWS Cloud
Amazon EC2 Auto Scaling
Application Load Balancing
(ALB)
Amazon CloudFront
Auto Scaling group
Web App Instances
VPC Peering
MongoDB Atlas
AWS Cloud
MongoDB Wire
Protocol
Ticketek Purchase Pipeline Architecture

12
Future Ticketek Purchase Pipeline Architecture
MongoDB Atlas
AWS Cloud
Web Application Resources
Amazon EC2 Auto Scaling
Application Load Balancing
(ALB)
Amazon CloudFront
AWS Cloud
Auto Scaling group
Web App Instances
Microservice Resources
Amazon EC2
AWS Lambda
AWS Fargate
Amazon API Gateway
Amazon Simple Storage
Service (S3)
MongoDB Stitch
QueryAnywhere
(RESTful API’s)
https

18
Ticketek Event Day Pipeline Architecture
MongoDB Atlas
AWS Cloud
Amazon Simple Storage
Service (S3)
TCP/IP Based
Wired or
Wireless
Internet
Venues
Microservice Resources
VPC Peering
MongoDB Wire
Protocol
AWS Cloud
AWS Fargate Amazon Kinesis AWS Lambda
Polling
Oplog

19
Future Ticketek Event Day Pipeline Architecture
Amazon Simple Storage
Service (S3)
TCP/IP Based
Wired or
Wireless
Internet
VenuesAWS Cloud
MongoDB Atlas
AWS Cloud
Collections
Microservice Resources
VPC Peering
MongoDB Wire
Protocol
AWS Fargate Amazon Kinesis AWS Lambda
collections.watch()
Change
StreamsAPI

20
Future Ticketek Event Day Pipeline Architecture
Amazon Simple Storage
Service (S3)
TCP/IP Based
Wired or
Wireless
Internet
VenuesAWS Cloud
Microservice Resources
Amazon Kinesis AWS Lambda
MongoDB Atlas
AWS Cloud
Collections
MongoDB Stitch Triggers
(AWS SDK)

21
Introducing Venue Intelligence (Venue IQ)

23
Ticketek Realtime Data Pipeline Architecture
Microservice Resources
VPC Peering
MongoDB Wire
Protocol
AWS Cloud
AWS Fargate Amazon Kinesis
Polling
MongoDB Atlas
AWS Cloud
OplogCollections
AWS Lambda Amazon Kinesis
Amazon RDS Amazon Simple Storage
Service (S3)
Client Real Time Sales
Clients
AWS Lambda Amazon Kinesis
AWS Lambda Amazon Redshift
Users

24
Future Ticketek Realtime Data Pipeline Architecture
MongoDB Atlas
AWS Cloud
Collections
Microservice Resources
AWS Cloud
Amazon Kinesis
AWS Lambda Amazon Kinesis
Amazon RDS Amazon Simple Storage
Service (S3)
Client Real Time Sales
Clients
AWS Lambda Amazon Kinesis
AWS Lambda Amazon Redshift
Users
https
MongoDB Stitch Triggers
(AWS SDK)

26
SoftixMulti CloudRegions
The Growth of TEG

28
Ticketek Marketplace Architecture
Static Content
Cloud Storage
Marketplace
App
App Engine
Memcache
Cloud Load
Balancing
Cloud
DNS
MongoDB
Proxy
App Engine
MongoDB Atlas
AWS Cloud
CollectionsMongoDB Stitch
QueryAnywhere
(RESTful APIs)
https
AWS Cloud
Microservice Resources
AWS Fargate Amazon Kinesis AWS Lambda
VPC Peering
MongoDB Wire
Protocol
Polling
Amazon Redshift

31
Thank You
Tane Oakes
Enterprise Architect
https://www.linkedin.com/in/taneoakes/

What's hot

MongoDB .local Toronto 2019: MongoDB Atlas Jumpstart

MongoDB

MongoDB SoCal 2020: Migrate Anything* to MongoDB Atlas

MongoDB

This presentation discusses migrating data from other data stores to MongoDB Atlas. It begins by explaining why MongoDB and Atlas are good choices for data management. Several preparation steps are covered, including sizing the target Atlas cluster, increasing the source oplog, and testing connectivity. Live migration, mongomirror, and dump/restore options are presented for migrating between replicasets or sharded clusters. Post-migration steps like monitoring and backups are also discussed. Finally, migrating from other data stores like AWS DocumentDB, Azure CosmosDB, DynamoDB, and relational databases are briefly covered.

MongoDB Atlas Workshop - Singapore

Ashnikbiz

Move Fast with MongoDB Cloud Database - Atlas. The workshop covered: Deploying a MongoDB cluster in minutes Query and manage data in MongoDB Executing continuous backups and point-in-time restores, ensuring that you can meet any restore point objectives View historical metrics in optimized dashboards, see what’s happening in your database live, configure alerts, and receive automated index suggestions to improve the performance of your cluster Using MongoDB Charts and create visual representations of your data

MongoDB .local San Francisco 2020: MongoDB Atlas Data Lake Technical Deep Dive

MongoDB

MongoDB Atlas Data Lake is a new service offered by MongoDB Atlas. Many organizations store long term, archival data in cost-effective storage like S3, GCP, and Azure Blobs. However, many of them do not have robust systems or tools to effectively utilize large amounts of data to inform decision making. MongoDB Atlas Data Lake is a service allowing organizations to analyze their long-term data to discover a wealth of information about their business. This session will take a deep dive into the features that are currently available in MongoDB Atlas Data Lake and how they are implemented. In addition, we'll discuss future plans and opportunities and offer ample Q&A time with the engineers on the project.

MongoDB .local Toronto 2019: MongoDB – Powering the new age data demands

MongoDB

MongoDB .local San Francisco 2020: MongoDB Atlas Jumpstart

MongoDB

MongoDB SoCal 2020: MongoDB Atlas Jump Start

MongoDB

MongoDB .local Paris 2020: Tout savoir sur le moteur de recherche Full Text S...

MongoDB

Venez en apprendre davantage sur notre nouvel opérateur de recherche en texte intégral pour MongoDB Atlas. Il s'agit d'une amélioration significative des fonctionnalités de recherches de MongoDB et c'est également la solution de recherche en texte intégral la plus simple et la plus puissante pour les bases de données MongoDB Atlas. Cette présentation est importante pour quiconque a mis en place ou en visage de mettre en place une fonctionnalité de recherche dans son application MongoDB. Vous assisterez à une démo de $searchBeta, apprendrez comment cela fonctionne, découvrirez des fonctionnalités spécifiques vous permettant d'obtenir des résultats de recherche pertinents et apprendrez comment vous pouvez commencer à utiliser la recherche en texte intégral dans votre application dès aujourd'hui.

10 - MongoDB

Kangaroot

The document provides an agenda for a MongoDB presentation, including an introduction to MongoDB's document model and how it differs from relational databases, how MongoDB brings value to clients with flexibility, performance, versatility and ease of use. It then demonstrates these qualities through MongoDB's features like rich queries, data models, and deployability anywhere. The presentation promotes MongoDB's cloud database as a service Atlas and tools like Compass. It outlines MongoDB's evolution and roadmap. It concludes by providing contact details for the presenter.

MongoDB .local Paris 2020: Les bonnes pratiques pour sécuriser MongoDB

MongoDB

Chaque entreprise devient une entreprise de logiciels, fournissant des solutions client pour accéder à une variété de services et d'informations. Les entreprises commencent maintenant à valoriser leurs données et à obtenir de meilleures informations pour l'entreprise. Un défi crucial consiste à s'assurer que ces données sont toujours disponibles et sécurisées pour être conformes aux objectifs commerciaux de l'entreprise et aux contraintes réglementaires des pays. MongoDB fournit la couche de sécurité dont vous avez besoin, venez découvrir comment sécuriser vos données avec MongoDB.

MongoDB SoCal 2020: Using MongoDB Services in Kubernetes: Any Platform, Devel...

MongoDB

MongoDB Kubernetes operator and MongoDB Open Service Broker are ready for production operations. Learn about how MongoDB can be used with the most popular container orchestration platform, Kubernetes, and bring self-service, persistent storage to your containerized applications. A demo will show you how easy it is to enable MongoDB clusters as an External Service using the Open Service Broker API for MongoDB

MongoDB .local Munich 2019: MongoDB Atlas Data Lake Technical Deep Dive

MongoDB

MongoDB .local San Francisco 2020: Using MongoDB Services in Kubernetes: any ...

MongoDB

MongoDB .local Munich 2019: MongoDB Atlas Auto-Scaling

MongoDB

MongoDB on Azure

Norberto Leite

MongoDB .local Munich 2019: Telediagnosis@Daimler powered by MongoDB

MongoDB

AWS Lambda, Step Functions & MongoDB Atlas Tutorial

MongoDB

Speaker: Raphael Londner, Developer Advocate, MongoDB Speaker: Paul Sears, Partner Solutions Architect, Amazon Web Services Level: 200 (Intermediate) Track: Atlas In this session, AWS Solutions Architect Paul Sears will provide an overview of AWS Lambda functions, including some key integration use cases with MongoDB Atlas. Developer Advocate Raphael Londner will walk you through how to code a Lambda function connected to MongoDB Atlas, with a specific focus on performance optimization. Raphael will then demonstrate how to orchestrate multiple Lambda functions inside a state machine built on top of AWS Step Functions. What You Will Learn: - Common use cases for which MongoDB Atlas + AWS Lambda help you boost developer productivity and minimize operational costs. - How to write a performance-optimized Lambda function that re-uses MongoDB Atlas database connections across multiple calls in order to speed up queries. - How AWS Step Functions can help you easily build application workflows to coordinate your Lambda functions.

MongoDB BI Connector & Tableau

MongoDB

Jumpstart: BI Connector & Tableau Speaker: Ronan Bohan, Solutions Architect, MongoDB Speaker: Viady Krishnan Level: 100 (Beginner) Track: Jumpstart Get started with the BI connector and Tableau in this introductory session. We will give you insight into how you can view your MongoDB data in traditional BI tools and an overview of connecting Tableau with MongoDB. After attending this session, students should be able connect their analytics tool of choice to a MongoDB data store using the BI connector, secure their client connection, and know how to enable authentication. Audience members should be familiar with analytics tools like Tableau to do business analytics, and know how to set up and run analytics in a BI tool. This session will use Tableau as an example. This is a Jumpstart session, held before the keynotes, designed to give you an overview of MongoDB basics so you can dive into more advanced technical sessions later in the day. What You Will Learn: - How to connect your analytics tool of choice to a MongoDB data store using the BI connector. - How to view MongoDB data in Tableau or another BI tool. - How to secure your client connection to MongoDB.

A Free New World: Atlas Free Tier and How It Was Born

MongoDB

A Free New World: Atlas Free Tier and How It Was Born Speaker: Louisa Berger, Senior Software Engineer Speaker: Vincent Do, Fullstack Engineer, MongoDB Level: 200 (Intermediate) Track: How We Build MongoDB Last year, MongoDB released Atlas – a new Database as as Service product that takes handles running, monitoring, and maintaining your MongoDB deployment in the Cloud. This winter, we added a new Free Tier option to the product, which allows users to try out Atlas with their own real data for free. Lead Automation engineer Louisa Berger and Atlas engineer Vincent Do will talk about how it works behind the scenes, and why you might want to try out Atlas. This talk is intended for developers, and will take you through the technical details of the architecture, and show you the techniques and challenges in building a multi-tenant MongoDB. What You Will Learn: - Insights on how/why you should use the Atlas free tier - How the Atlas free tier was designed and implemented - Best practices for building a multi-tenant MongoDB application

MongoDB .local Paris 2020: Realm : l'ingrédient secret pour de meilleures app...

MongoDB

What's hot (20)

MongoDB .local Toronto 2019: MongoDB Atlas Jumpstart

MongoDB SoCal 2020: Migrate Anything* to MongoDB Atlas

MongoDB Atlas Workshop - Singapore

MongoDB .local San Francisco 2020: MongoDB Atlas Data Lake Technical Deep Dive

MongoDB .local Toronto 2019: MongoDB – Powering the new age data demands

MongoDB .local San Francisco 2020: MongoDB Atlas Jumpstart

MongoDB SoCal 2020: MongoDB Atlas Jump Start

MongoDB .local Paris 2020: Tout savoir sur le moteur de recherche Full Text S...

10 - MongoDB

MongoDB .local Paris 2020: Les bonnes pratiques pour sécuriser MongoDB

MongoDB SoCal 2020: Using MongoDB Services in Kubernetes: Any Platform, Devel...

MongoDB .local Munich 2019: MongoDB Atlas Data Lake Technical Deep Dive

MongoDB .local San Francisco 2020: Using MongoDB Services in Kubernetes: any ...

MongoDB .local Munich 2019: MongoDB Atlas Auto-Scaling

MongoDB on Azure

MongoDB .local Munich 2019: Telediagnosis@Daimler powered by MongoDB

AWS Lambda, Step Functions & MongoDB Atlas Tutorial

MongoDB BI Connector & Tableau

A Free New World: Atlas Free Tier and How It Was Born

MongoDB .local Paris 2020: Realm : l'ingrédient secret pour de meilleures app...

Similar to MongoDB World 2019: Ticketek: Scaling to Global Ticket Sales with MongoDB Atlas

20141021 AWS Cloud Taekwon - Big Data on AWS

Amazon Web Services Korea

This document discusses big data solutions on AWS. It covers data generation, collection and storage using services like S3, DynamoDB and Kinesis. It also discusses analytics and computation using EMR, Redshift and real-time analytics with Kinesis. Finally it discusses collaboration and sharing insights using visualization tools and BI tools. Real-world examples of using these AWS services for big data are provided.

Reply Labcamp Rome - AWS Zombie - Serverless and Microservices

Andrea Mercanti

This document outlines an agenda for an AWS Zombie Labcamp being held on May 29th, 2017 in Rome. The labcamp will introduce participants to building serverless applications on AWS using services like AWS Lambda, Amazon API Gateway, Amazon DynamoDB, Amazon Cognito, and Amazon ElasticSearch. It will cover setting up the environment, building a typing indicator, integrating ElasticSearch for search, and integrating with Slack. The document provides background on the AWS services being used and how they all work together, such as API Gateway triggering Lambda functions and DynamoDB streams feeding data into ElasticSearch. It also notes that some initial setup has already been done to speed up the labs, including a CloudFormation template and

Big Data on AWS

Amazon Web Services

This document discusses using AWS services for big data and analytics workflows. It describes collecting and storing data from various sources using services like S3, DynamoDB and Kinesis. It then discusses processing and analyzing that data using EMR, Redshift and other AWS analytics services. The results and insights can then be visualized, shared and fed back into the workflow on a continuous basis to drive real-time decisions.

Serverless Computing How to Innovate Faster

Amazon Web Services

The document provides an overview of serverless computing on AWS. It begins with an introduction from the presenter and an agenda. It then discusses what serverless computing is, including that it means no server or container management, flexible scaling, no idle capacity, and high availability. It also discusses event-driven architectures and the AWS Lambda execution lifecycle, including cold starts and warm starts. Several use cases and architectures using serverless technologies like AWS Lambda are also presented.

AWSome Day Nairobi 2019

Amazon Web Services

Innovation at Amazon & Voice of Customer 雲端創新應用規模化

Amazon Web Services

This document provides an overview of Amazon Web Services (AWS) and its machine learning and artificial intelligence capabilities. It discusses how AWS offers a full suite of AI and ML services including tools for computer vision, natural language processing, forecasting, and more. It also outlines AWS's machine learning infrastructure which includes optimized hardware, frameworks, and SageMaker for building, training, and deploying models. AWS aims to put machine learning in the hands of every developer and data scientist.

Bridge OLTP and Stream Processing with Amazon Kinesis, AWS Lambda, & MongoDB ...

Amazon Web Services

Seamlessly bridge your application’s real-time operational surfaces—which face customers, devices, and latency-sensitive components—to its data processing inner surfaces—which enable BI, machine learning, and other massive analytical workloads. Learn how to compose Amazon Kinesis, Amazon Redshift, Amazon S3, AWS Lambda, and MongoDB into a flexible, secure, and performant architectural core. Then learn through concrete examples how that core extends in order to handle a wide range of applications, from rich financial accounting platforms to cloud-based, open IoT operating systems. This session is brought to you by AWS partner, MongoDB.

Modern Data Architectures for Real Time Analytics & Engagement

Amazon Web Services

AWS re:Invent 2016: Big Data Mini Con State of the Union (BDM205)

Amazon Web Services

Serverless for Developers

Amazon Web Services

This document provides tips and patterns for building serverless applications. It discusses how serverless architectures can simplify operations by removing the need to manage servers. It then demonstrates how to design a media sharing application using serverless technologies like AWS Lambda, Amazon S3, DynamoDB, and API Gateway, driven by events. The document shows how the application architecture can be refined from an initial feature-based view to use specific serverless services and functions.

[AWS Container Service] Getting Started with Cloud Map, App Mesh and Firecracker

Amazon Web Services Korea

This document provides an overview and summary of Amazon Web Services (AWS) announcements from a conference in Seoul, South Korea. It includes summaries of new and updated AWS services across various categories such as compute, database, analytics, developer tools, and containers. Key announcements include the general availability of AWS App Mesh for managing communications between microservices applications and the public beta of AWS Cloud Map for service discovery.

Exploring Blockchain Technology and Emerging Trends

Amazon Web Services

Mao Danrong, Solutions Architect, AWS China Blockchain has become a hot topic for enterprises, start-ups, entrepreneurs, and regulatory bodies. Companies are now beginning to understand its disruptive potential and are experimenting with its most promising applications. But, few companies have asked the more fundamental question: Are we ready to adopt a shared public database and Microservice architecture for financial transactions? In this session, we cover the use cases and emerging trends. We also demonstrate blockchain in use and show how to implement it with demo showing using AWS services.

Build and run applications without thinking about servers

Amazon Web Services

Organizations need to gain insight and knowledge from a growing number of Internet of Things (IoT) APIs clickstreams comprised of unstructured and log data sources. However, organizations are often limited by legacy data warehouses and ETL processes that were designed for transactional data. In this session, we’ll introduce the key ETL features of AWS Glue through use cases ranging from scheduled nightly data warehouse loads to near real-time, event-driven ETL flows for your data lake. We’ll also discuss how to build scalable, efficient and serverless ETL pipelines using AWS Glue.

Serverless Apps on AWS

Amazon Web Services

Serverless Applications on AWS

Dean Bryen

The document discusses serverless applications on AWS. It describes how traditional monolithic architectures have evolved to use microservices and serverless computing. It provides examples of how to build applications using AWS services like AWS Lambda, Amazon API Gateway, Amazon DynamoDB, and Amazon S3 without having to manage servers. These services allow building scalable, fault tolerant applications that are cost effective and focus on solving business problems rather than infrastructure. The document concludes with a recommendation to try out serverless AWS services and provides next steps to get started.

Supply Chain Data Lake - Kartik Medha AWS Chicago.pptx

AWS Chicago

This document discusses using AWS services to create a supply chain data hub. It proposes using AWS S3 to store supply chain planning, execution, and visibility data from various sources. It then suggests using AWS Athena, Glue, and Lake Formation to analyze the data. AWS Step Functions and SageMaker would be used to build models to predict shipment ETAs. This data hub would provide a single source of federated supply chain data to gain insights and improve planning, tracking, and visibility across an organization's supply chain operations.

So You Think You're an AWS Master aka Serverless Computing

Amazon Web Services

Track 6 Session 2_ 搭建現代化的資料數據湖.pptx

Amazon Web Services

The document discusses building a modern data lake platform on AWS. It describes how AWS services like S3, Lake Formation, Glue, Athena, and others can be used to ingest raw data from various sources in real-time and at scale. The data is then stored, cataloged, and prepared for analysis using services like EMR, SageMaker, and Redshift to power analytics, machine learning, and business intelligence.

AWS Summit Singapore 2019 | Opening Keynote with Peter DeSantis

AWS Summits

Build Business-Ready Blockchains with Intelligence (GPSTEC315) - AWS re:Inven...

Amazon Web Services

Blockchain continues to be called the next generation of technology, so why does it mystify so many? In this session, we discuss how AWS and its ecosystem will help deliver value beyond just infrastructure for blockchain. We include the blockchain competency announcement, the blockchain value proposition broken down, a customer story involving Intel and T-mobile, and a blockchain delivery kit featuring Accenture and AWS.

Similar to MongoDB World 2019: Ticketek: Scaling to Global Ticket Sales with MongoDB Atlas (20)

20141021 AWS Cloud Taekwon - Big Data on AWS

Reply Labcamp Rome - AWS Zombie - Serverless and Microservices

Big Data on AWS

Serverless Computing How to Innovate Faster

AWSome Day Nairobi 2019

Innovation at Amazon & Voice of Customer 雲端創新應用規模化

Bridge OLTP and Stream Processing with Amazon Kinesis, AWS Lambda, & MongoDB ...

Modern Data Architectures for Real Time Analytics & Engagement

AWS re:Invent 2016: Big Data Mini Con State of the Union (BDM205)

Serverless for Developers

[AWS Container Service] Getting Started with Cloud Map, App Mesh and Firecracker

Exploring Blockchain Technology and Emerging Trends

Build and run applications without thinking about servers

Serverless Apps on AWS

Serverless Applications on AWS

Supply Chain Data Lake - Kartik Medha AWS Chicago.pptx

So You Think You're an AWS Master aka Serverless Computing

Track 6 Session 2_ 搭建現代化的資料數據湖.pptx

AWS Summit Singapore 2019 | Opening Keynote with Peter DeSantis

Build Business-Ready Blockchains with Intelligence (GPSTEC315) - AWS re:Inven...

More from MongoDB

MongoDB SoCal 2020: Go on a Data Safari with MongoDB Charts!

MongoDB

MongoDB SoCal 2020: A Complete Methodology of Data Modeling for MongoDB

MongoDB

MongoDB SoCal 2020: From Pharmacist to Analyst: Leveraging MongoDB for Real-T...

MongoDB

MongoDB SoCal 2020: Best Practices for Working with IoT and Time-series Data

MongoDB

Time series data is increasingly at the heart of modern applications - think IoT, stock trading, clickstreams, social media, and more. With the move from batch to real time systems, the efficient capture and analysis of time series data can enable organizations to better detect and respond to events ahead of their competitors or to improve operational efficiency to reduce cost and risk. Working with time series data is often different from regular application data, and there are best practices you should observe. This talk covers: Common components of an IoT solution The challenges involved with managing time-series data in IoT applications Different schema designs, and how these affect memory and disk utilization – two critical factors in application performance. How to query, analyze and present IoT time-series data using MongoDB Compass and MongoDB Charts At the end of the session, you will have a better understanding of key best practices in managing IoT time-series data with MongoDB.

MongoDB .local San Francisco 2020: Powering the new age data demands [Infosys]

MongoDB

Our clients have unique use cases and data patterns that mandate the choice of a particular strategy. To implement these strategies, it is mandatory that we unlearn a lot of relational concepts while designing and rapidly developing efficient applications on NoSQL. In this session, we will talk about some of our client use cases, the strategies we have adopted, and the features of MongoDB that assisted in implementing these strategies.

MongoDB .local San Francisco 2020: Using Client Side Encryption in MongoDB 4.2

MongoDB

Encryption is not a new concept to MongoDB. Encryption may occur in-transit (with TLS) and at-rest (with the encrypted storage engine). But MongoDB 4.2 introduces support for Client Side Encryption, ensuring the most sensitive data is encrypted before ever leaving the client application. Even full access to your MongoDB servers is not enough to decrypt this data. And better yet, Client Side Encryption can be enabled at the "flick of a switch". This session covers using Client Side Encryption in your applications. This includes the necessary setup, how to encrypt data without sacrificing queryability, and what trade-offs to expect.

MongoDB .local San Francisco 2020: Go on a Data Safari with MongoDB Charts!

MongoDB

MongoDB .local San Francisco 2020: From SQL to NoSQL -- Changing Your Mindset

MongoDB

When you need to model data, is your first instinct to start breaking it down into rows and columns? Mine used to be too. When you want to develop apps in a modern, agile way, NoSQL databases can be the best option. Come to this talk to learn how to take advantage of all that NoSQL databases have to offer and discover the benefits of changing your mindset from the legacy, tabular way of modeling data. We’ll compare and contrast the terms and concepts in SQL databases and MongoDB, explain the benefits of using MongoDB compared to SQL databases, and walk through data modeling basics so you feel confident as you begin using MongoDB.

MongoDB .local San Francisco 2020: Tips and Tricks++ for Querying and Indexin...

MongoDB

The document discusses guidelines for ordering fields in compound indexes to optimize query performance. It recommends the E-S-R approach: placing equality fields first, followed by sort fields, and range fields last. This allows indexes to leverage equality matches, provide non-blocking sorts, and minimize scanning. Examples show how indexes ordered by these guidelines can support queries more efficiently by narrowing the search bounds.

MongoDB .local San Francisco 2020: Aggregation Pipeline Power++

MongoDB

MongoDB .local San Francisco 2020: A Complete Methodology of Data Modeling fo...

MongoDB

The document describes a methodology for data modeling with MongoDB. It begins by recognizing the differences between document and tabular databases, then outlines a three step methodology: 1) describe the workload by listing queries, 2) identify and model relationships between entities, and 3) apply relevant patterns when modeling for MongoDB. The document uses examples around modeling a coffee shop franchise to illustrate modeling approaches and techniques.

MongoDB .local San Francisco 2020: Developing Alexa Skills with MongoDB & Golang

MongoDB

Virtual assistants are becoming the new norm when it comes to daily life, with Amazon’s Alexa being the leader in the space. As a developer, not only do you need to make web and mobile compliant applications, but you need to be able to support virtual assistants like Alexa. However, the process isn’t quite the same between the platforms. How do you handle requests? Where do you store your data and work with it to create meaningful responses with little delay? How much of your code needs to change between platforms? In this session we’ll see how to design and develop applications known as Skills for Amazon Alexa powered devices using the Go programming language and MongoDB.

MongoDB .local Paris 2020: Upply @MongoDB : Upply : Quand le Machine Learning...

MongoDB

Il n’a jamais été aussi facile de commander en ligne et de se faire livrer en moins de 48h très souvent gratuitement. Cette simplicité d’usage cache un marché complexe de plus de 8000 milliards de $. La data est bien connu du monde de la Supply Chain (itinéraires, informations sur les marchandises, douanes,…), mais la valeur de ces données opérationnelles reste peu exploitée. En alliant expertise métier et Data Science, Upply redéfinit les fondamentaux de la Supply Chain en proposant à chacun des acteurs de surmonter la volatilité et l’inefficacité du marché.

MongoDB .local Paris 2020: Adéo @MongoDB : MongoDB Atlas & Leroy Merlin : et ...

MongoDB

Adeo et en particulier Leroy Merlin utilisent massivement MongoDB pour propulser de nombreuses applications et en particulier son site web leroymerlin.fr. Emmanuel Dieval Ingénieur Software chez ADEO, présentera le nouveau système au coeur de la publication de l'offre Leroy Merlin: OPUS. OPUS s'appuie particulièrement sur MongoDB pour la construction des pages de famille de produits tout en supportant un important flux de données journalier. Après un rappel sur les pipelines d'agrégation et une présentation de MongoDB Atlas par Maxime Beugnet, Developer Advocate chez MongoDB, Emmanuel parlera de l'utilisation des pipelines d'agrégation pour la construction des pages de famille de produits, mais aussi de Google Cloud Platform et des avantages à utiliser MongoDB Atlas.

MongoDB .local Paris 2020: Devenez explorateur de données avec MongoDB Charts

MongoDB

De nos jours, tout le monde devrait être "Data Analyst". Mais avec tant de données disponibles, comment les comprendre et vous assurer que vous prenez les meilleures décisions ? Une excellente approche consiste à utiliser des visualisations de données. Au cours de cette présentation, notre expert utilisera un jeu de données complexe et vous montrera comment l'étendue des fonctionnalités de MongoDB Charts peut vous aider à transformer les bits et bytes en informations.

MongoDB .local Paris 2020: La puissance du Pipeline d'Agrégation de MongoDB

MongoDB

Le pipeline d'agrégation a été en mesure d'alimenter votre analyse de données depuis la version 2.2. Dans la version 4.2, nous avons ajouté plus de puissance et vous pouvez maintenant l'utiliser pour des requêtes plus puissantes, des mises à jour et la sortie de vos données dans des collections existantes. Venez découvrir comment vous pouvez tout faire avec le pipeline, y compris les vues uniques, ETL, les cumuls de données et les vues matérialisées.

MongoDB .local Toronto 2019: Keep your Business Safe and Scaling Holistically...

MongoDB

Learn how MongoDB on LinuxONE and IBM Cloud Hyper Protect Services can be used to manage highly sensitive and confidential data – pervasively encrypting and securing your environments, consolidating thousands of database instances while serving hundreds of billions of queries a day. At the end of this session you will better understand how managing and scaling large amounts of critical business data can be achieved easily with automatic pervasive encryption of code and data in-flight and at-rest. If you're a Developer, Architect, DBA or a Business Stakeholder, and your organization is using or planning to use MongoDB on-premise or in the cloud, this session will help you to gain insights into the best way to run MongoDB to keep your business safe and scaling holistically.

MongoDB .local Toronto 2019: Tips and Tricks for Effective Indexing

MongoDB

MongoDB .local Toronto 2019: Using Change Streams to Keep Up with Your Data

MongoDB

Immediate feedback is an essential part of modern application development where developers want to sync across platforms, systems, and users to provide better end-user experiences. Change streams empower developers to easily leverage the power of MongoDB's internal real-time functionality to react to relevant data changes immediately. Change streams also provide the backbone of MongoDB Atlas triggers. This session introduces change streams and walks you through developing with them. We will discuss use cases, integrating with Kafka, and explore how to make good architectural decisions around this new functionality.

More from MongoDB (19)