Over 400,000 software developers and operations professionals have registered for free online courses at MongoDB University. Today we’re excited to announce our latest offering, MongoDB Security. Registration is open and the first class begins on November 8th.
Security is a key aspect of any mission critical application and enterprise environment. With growing concerns around privacy and the regularity of data breaches within large organizations, understanding how to properly secure IT infrastructure has never been more important.
By taking this class you will learn about MongoDB’s powerful security features and integration capabilities. The course will provide you with the knowledge to create secured deployments of MongoDB for production ready environments.
The instructor for the course is Kirby Kohlmorgen. Kirby is a curriculum engineer at MongoDB and has helped build, organize, and deliver large developer events. Prior to MongoDB Kirby was a developer evangelist at Pebble.
This course is a great opportunity to advance your understanding of MongoDB security and learn the best practices associated with administering a secure deployment.
About the Author - Niyati Shah
Niyati is the Senior Certification Program Manager at MongoDB
5 Blogs to Read Before You Head to AWS re:Invent Next Month
This post is part of our Road to re:Invent series series. In the weeks leading up to AWS re:Invent in Las Vegas this November, we'll be posting about a number of topics related to running MongoDB in the public cloud. ![Road to AWS re:Invent](https://webassets.mongodb.com/_com_assets/cms/AWS_ReInvent-683wqzsi2z.jpg) Before you head to AWS re:Invent next month, we’ve pulled together our most popular blog posts about running MongoDB alongside different AWS solutions. 1. Virtualizing MongoDB on Amazon EC2 and GCE As part of a migration to a cloud hosting environment, David Mytton, Founder and CTO of Server Density, did an investigation into the best ways to deploy MongoDB into two popular platforms, Amazon EC2, and Google Compute Engine. In this two part series, we will review David’s general pros and cons of virtualization along with the challenges and methods of virtualizing MongoDB on EC2 and GCE. Read the post > 2. Maximizing MongoDB Performance on AWS You have many choices to make when running MongoDB on AWS: from instance type and security, to how you configure MongoDB processes and more. In addition, you now have options for tooling and management. In this post we’ll take a look at several recommendations that can help you get the best performance out of AWS. Read the post > 3. Develop & Deploy a Node.js App to AWS Elastic Beanstalk & MongoDB Atlas AWS Elastic Beanstalk is a service offered by Amazon to make it simple for developers to deploy and manage their cloud-based applications. In this post, Andrew Morgan will walk you through how to build and deploy a Node.js app to AWS Elastic Beanstalk using MongoDB Atlas. Read the tutorial > 4. Oxford Nanopore Technologies Powers Real-Time Genetic Analysis Using Docker, MongoDB, and AWS In this post, we take a look at how containerization, the public cloud, and MongoDB is helping a UK-based biotechnology firm track the spread of Ebola. Get the full story > 5. Selecting AWS Storage for MongoDB Deployments: Ephemeral vs. EBS Last but not least, take a look at what we were writing about this time last year as Bryan Reinero explores how to select the right AWS solution for your deployment. Keep reading > Want more? We’ll be blogging about MongoDB and the cloud leading up to re:Invent again this year in our Road to re:Invent series. You can see the posts we’ve already published here . Going to re:Invent? The MongoDB team will be in Las Vegas at re:Invent 11/29 to 12/2. If you’re attending re:Invent, be sure to visit us at booth 2620! MongoDB Atlas, the cloud database service for MongoDB, is the easiest way to deploy and run MongoDB, allowing you to get started in minutes. Click here to learn more . Get the guide for MongoDB on AWS
How DataSwitch And MongoDB Atlas Can Help Modernize Your Legacy Workloads
Data modernization is here to stay, and DataSwitch and MongoDB are leading the way forward. Research strongly indicates that the future of the Database Management System (DBMS) market is in the cloud, and the ideal way to shift from an outdated, legacy DBMS to a modern, cloud-friendly data warehouse is through data modernization. There are a few key factors driving this shift. Increasingly, companies need to store and manage unstructured data in a cloud-enabled system, as opposed to a legacy DBMS which is only designed for structured data. Moreover, the amount of data generated by a business is increasing at a rate of 55% to 65% every year and the majority of it is unstructured. A modernized database that can improve data quality and availability provides tremendous benefits in performance, scalability, and cost optimization. It also provides a foundation for improving business value through informed decision-making. Additionally, cloud-enabled databases support greater agility so you can upgrade current applications and build new ones faster to meet customer demand. Gartner predicts that by 2022, 75% of all databases will be on the cloud – either by direct deployment or through data migration and modernization. But research shows that over 40% of migration projects fail. This is due to challenges such as: Inadequate knowledge of legacy applications and their data design Complexity of code and design from different legacy applications Lack of automation tools for transforming from legacy data processing to cloud-friendly data and processes It is essential to harness a strategic approach and choose the right partner for your data modernization journey. We’re here to help you do just that. Why MongoDB? MongoDB is built for modern application developers and for the cloud era. As a general purpose, document-based, distributed database, it facilitates high productivity and can handle huge volumes of data. The document database stores data in JSON-like documents and is built on a scale-out architecture that is optimal for any kind of developer who builds scalable applications through agile methodologies. Ultimately, MongoDB fosters business agility, scalability and innovation. Key MongoDB advantages include: Rich JSON Documents Powerful query language Multi-cloud data distribution Security of sensitive data Quick storage and retrieval of data Capacity for huge volumes of data and traffic Design supports greater developer productivity Extremely reliable for mission-critical workloads Architected for optimal performance and efficiency Key advantages of MongoDB Atlas , MongoDB’s hosted database as a service, include: Multi-cloud data distribution Secure for sensitive data Designed for developer productivity Reliable for mission critical workloads Built for optimal performance Managed for operational efficiency To be clear, JSON documents are the most productive way to work with data as they support nested objects and arrays as values. They also support schemas that are flexible and dynamic. MongoDB’s powerful query language enables sorting and filtering of any field, regardless of how nested it is in a document. Moreover, it provides support for aggregations as well as modern use cases including graph search, geo-based search and text search. Queries are in JSON and are easy to compose. MongoDB provides support for joins in queries. MongoDB supports two types of relationships with the ability to reference and embed. It has all the power of a relational database and much, much more. Companies of all sizes can use MongoDB as it successfully operates on a large and mature platform ecosystem. Developers enjoy a great user experience with the ability to provision MongoDB Atlas clusters and commence coding instantly. A global community of developers and consultants makes it easy to get the help you need, if and when you need it. In addition, MongoDB supports all major languages and provides enterprise-grade support. Why DataSwitch as a partner for MongoDB? Automated schema re-design, data migration & code conversion DataSwitch is a trusted partner for cost-effective, accelerated solutions for digital data transformation, migration and modernization through a modern database platform. Our no-code and low-code solutions along with cloud data expertise and unique, automated schema generation accelerates time to market. We provide end-to-end data, schema and process migration with automated replatforming and refactoring, thereby delivering: 50% faster time to market 60% reduction in total cost of delivery Assured quality with built-in best practices, guidelines and accuracy Data modernization: How “DataSwitch Migrate” helps you migrate from RDBMS to MongoDB DataSwitch Migrate (“DS Migrate”) is a no-code and low-code toolkit that leverages advanced automation to provide intuitive, predictive and self-serviceable schema redesign from a traditional RDBMS model to MongoDB’s Document Model with built-in best practices. Based on data volume, performance, and criticality, DS Migrate automatically recommends the appropriate ETTL (Extract, Transfer, Transform & Load) data migration process. DataSwitch delivers data engineering solutions and transformations in half the timeframe of the existing typical data modernization solutions. Consider these key areas: Schema redesign – construct a new framework for data management. DS Migrate provides automated data migration and transformation based on your redesigned schema, as well as no-touch code conversion from legacy data scripts to MongoDB Atlas APIs. Users can simply drag and drop the schema for redesign and the platform converts it to a document-based JSON structure by applying MongoDB modeling best practices. The platform then automatically migrates data to the new, re-designed JSON structure. It also converts the legacy database script for MongoDB. This automated, user-friendly data migration is faster than anything you’ve ever seen. Here’s a look at how the schema designer works. Refactoring – change the data structure to match the new schema. DS Migrate handles this through auto code generation for migrating the data. This is far beyond a mere lift and shift. DataSwitch takes care of refactoring and replatforming (moving from the legacy platform to MongoDB) automatically. It is a game-changing unique capability to perform all these tasks within a single platform. Security – mask and tokenize data while moving the data from on-premise to the cloud. As the data is moving to a potentially public cloud, you must keep it secure. DataSwitch’s tool has the capability to configure and apply security measures automatically while migrating the data. Data Quality – ensure that data is clean, complete, trustworthy, consistent. DataSwitch allows you to configure your own quality rules and automatically apply them during data migration. In summary: first, the DataSwitch tool automatically extracts the data from an existing database, like Oracle. It then exports the data and stores it locally before zipping and transferring it to the cloud. Next, DataSwitch transforms the data by altering the data structure to match the re-designed schema, and applying data security measures during the transform step. Lastly, DS Migrate loads the data and processes it into MongoDB in its entirety. Process Conversion Process conversion, where scripts and process logic are migrated from legacy DBMS to a modern DBMS, is made easier thanks to a high degree of automation. Minimal coding and manual intervention are required and the journey is accelerated. It involves: DML – Data Manipulation Language CRUD – typical application functionality (Create, Read, Update & Delete) Converting to the equivalent of MongoDB Atlas API Degree of automation DataSwitch provides during Migration Schema Migration Activities DS Automation Capabilities Application Data Usage Analysis 70% 3NF to NoSQL Schema Recommendation 60% Schema Re-Design Self Services 50% Predictive Data Mapping 60% Process Migration Activities DS Automation Capabilities CRUD based SQL conversion (Oracle, MySQL, SQLServer, Teradata, DB2) to MongoDB API 70% Data Migration Activities DS Automation Capabilities Migration Script Creation 90% Historical Data Migration 90% 2 Catch Load 90% DataSwitch Legacy Modernization as a Service (LMaas): Our consulting expertise combined with the DS Migrate tool allows us to harness the power of the cloud for data transformation of RDBMS legacy data systems to MongoDB. Our solution delivers legacy transformation in half the time frame through pay-per-usage. Key strengths include: ● Data Architecture Consulting ● Data Modernization Assessment and Migration Strategy ● Specialized Modernization Services DS Migrate Architecture Diagram Contact us to learn more.