Name: Executing on a Cloud Data Strategy
Start: 2018-05-17T10:00:00Z
End: 2018-05-17T10:00:28.000Z
Location: BrightTALK
Rating: 0

MongoDB is the leading modern, general purpose database platform, designed to unleash the power of software and data for developers and the applications they build.

Organizations are building their applications around microservice architectures because of the flexibility, speed of delivery, and maintainability they deliver. 
 
Want to try out MongoDB on your laptop? Execute a single command and you have a lightweight, self-contained sandbox; another command removes all trace when you're done. Replicate your complete application for your development, test, operations, and support teams.
 
 This session introduces you to technologies such as Docker, Kubernetes, & Kafka, which are driving the microservices revolution. Learn about containers and orchestration – and most importantly, how to exploit them for stateful services such as MongoDB.

In this session, you will learn:

- Why organizations are choosing to use microservice architectures, what benefits they deliver, and when they should - or shouldn't - be used.
- Technologies that are used to build microservices – including containers, orchestration and messaging systems.
- Why MongoDB is a good fit for microservices and what special steps need to be taken to make them work well together.

Powering Microservices with Docker, Kubernetes, Kafka, and MongoDB

Public concern for the safety of data is growing – not just in how criminals might use stolen data to commit fraud, but also in how personal data is used by the organisations we engage with. 

The EU General Data Protection Regulation (GDPR) is designed to confront these concerns, defining a range of requirements to govern how organisations collect, store, process, retain, and share the personal data of EU citizens – irrespective of whether that organisation has a physical presence within the EU. 

We can group these requirements into three areas:

* Discover: scope data subject to the regulation
* Defend: implement measures to protect discovered data
* Detect: identify a breach against that data, and remediate security and process gaps

In this webinar, you will learn

* about the specific requirements of GDPR
* how these map to required database capabilities
* how MongoDB can provide the core technology foundations to help organisations accelerate their path to compliance

GDPR: Impact to Your Data Management Landscape

An increasing number of enterprises across all industry sectors are now exploring how they can use blockchain technology to remove friction from business processes and build systems of trust for value exchange. Blockchain databases, powered by enterprise-grade, scalable and secure core databases such as MongoDB are core to unlocking the potential.

In this on-demand webinar, we explore:
- Applications for blockchain
- Integrating blockchain within the enterprise IT stack
- Blockchain database deployment architectures
- Deployment scenarios for blockchain databases
- Required technical capabilities

Building a Blockchain Database with MongoDB

Engineers often ask "how do I know if I should build my application on MongoDB?" IT executives ask a similar question, "which applications in my application portfolio should I migrate to MongoDB?" This webinar will present a framework for answering these questions. 

We will cover two sets of criteria: (1) how to determine when to migrate a legacy application to MongoDB and (2) when should MongoDB be used for new applications? The webinar will also include a brief introduction to MongoDB to provide enough MongoDB technical background for analyzing when to use MongoDB?

Learning Objectives:
* The basics of MongoDB document model, query capabilities, and architecture required for analyzing when to use MongoDB?
* Criteria for determining when to use MongoDB to re-platform legacy applications
* Criteria for determining when to use MongoDB for new applications

When to use MongoDB

It’s easier than ever to power serverless architectures with our managed MongoDB as a service, MongoDB Atlas. In this session, we will explore the rise of serverless architectures and how they’ve rapidly integrated into public and private cloud offerings. 

We will demonstrate  how to build a simple REST API using AWS Lambda functions, how to create a highly available cluster in MongoDB Atlas, and finally, how to connect those pieces  in a secure and scalable manner. We will then simulate load and show how to use  the monitoring features of MongoDB Atlas. 

Finally, we will use MongoDB Compass to browse our database. You'll walk away with an understanding of how to build your first serverless cloud service, backed by a highly scalable database as a service. 

This session is aimed at developers that are: 
1. Building modern applications in an environment where fast delivery and agility are critical
2. Looking to reduce operational overhead so that they can focus on creating functionality for their customers

Serverless Architectures with AWS Lambda

The MongoDB Spark Connector integrates MongoDB and Apache Spark, providing users with the ability to process data in MongoDB with the massive parallelism of Spark. The connector gives users access to Spark's streaming capabilities, machine learning libraries, and interactive processing through the Spark shell, Dataframes and Datasets. 

We'll take a tour of the connector with a focus on practical use of the connector, and run a demo using unsupervised machine learning algorithms to process data in MongoDB.

Analytics and Machine Learning with Spark

Hype, buzzword, threat; however you want to characterize it, the Internet of Things (IoT) is here.

IoT scenarios that were hypothetical only a few years ago are real today. Still thinking along the line of fleet management and temperature measurements? You’re out. Endless possibilities of IoT applications are surfacing every day, from the connected cow (Yes, seriously) to things that monitor and analyze your daily life.  The heart rate monitor on your wrist, connected cars and smart meters are just the beginning. How do our customers capture, analyze and act on this data?  

In this presentation, we discuss architecture of IoT data management solutions and the challenges that arise. We also explore how MongoDB features provide solutions to those problems.

MongoDB and the Internet of Things

We'll give you a hint: it's the same thing that links The Empire Strikes Back, music videos, and Iron Maiden's debut album.

What do a Rubik's cube and your database have in common?

Users increasingly demand a far richer experience from web applications – expecting the same level of performance and interactivity they get with native desktop and mobile apps. 

At the same time, there's pressure on developers to deliver new applications faster and continually roll-out enhancements, while ensuring that the application is highly available and can be scaled appropriately when needed. 

Fortunately, there’s a set of open source technologies using JavaScript that make all of this possible.

Watch this presentation to learn about the two dominant JavaScript web app stacks – MEAN (MongoDB, Express, Angular, Node.js) and MERN (MongoDB, Express, React, Node.js).

These technologies are also used outside of the browser – delivering the best user experience, regardless of whether accessing your application from the desktop, from a mobile app, or even using your voice.

By watching this presentation you will learn:

* What these technologies and how they’re used in combination:
    * NodeJS
    * MongoDB
    * Express
    * Angular2
    * ReactJS


* How to get started building your own apps using these stacks

* Some of the decisions to take:
    * Angular vs Angular2 vs ReactJS
    * Javascript vs ES6 vs Typescript
    * What should be implemented in the front-end vs the back-end

Developing with the Modern App Stack: MEAN and MERN (with Angular2 and ReactJS)

Organizations have long seen the value in aggregating data from multiple systems into a single, holistic, real-time representation of a business entity. That entity is often a customer. But the benefits of a single view in enhancing business visibility and operational intelligence can apply equally to other business contexts. Think products, supply chains, industrial machinery, cities, financial asset classes, and many more.

However, for many organizations, delivering a single view to the business has been elusive, impeded by a combination of technology and governance limitations.

MongoDB has been used in many single view projects across enterprises of all sizes and industries. In this session, we will share the best practices we have observed and institutionalized over the years. 

By watching this on-demand webinar, you will learn:
* A repeatable, 10-step methodology to successfully delivering a single view
* The required technology capabilities and tools to accelerate project delivery
* Case studies from customers who have built transformational single view applications on MongoDB.

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

The move to the cloud coupled with shifts to organisational structures and application architectures is driving agility and innovation. 

Enterprises that are undertaking this transformation are following in the footsteps of the digital natives, be it Google, Facebook or Amazon.

Join this webinar to learn:

* Why the cloud means your data strategy needs to adapt
* What do you need to consider when building your data strategy
* How a cloud data strategy can help accelerate digital transformation initiatives and drive tangible business value

Executing on a Cloud Data Strategy

Cloud Adoption

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Executing on a Cloud Data Strategy

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