Hudl’s video analysis platform helps coaches win by delivering secure access to video analysis tools from any computer or mobile device. For those who follow Division 1 college sports in the United States, you’ll be interested in knowing that the Hudl platform stores video for 99% of DI schools’ top recruits.
As Hudl has grown, it has outgrown some of its infrastructure.
For example, when Hudl hit a limit on EC2 (where SQL wouldn’t scale on a single instance), the growing company needed to recruit a new database. After evaluating different options, Hudl chose MongoDB.
According to Hudl CTO Brian Kaiser: “MongoDB changed devops from a necessary evil to something that is transforming the company, helping us move quickly. It makes innovation easy and is universally recognized at our company because it’s been so impactful on our growth.”
The numbers speak for themselves. Today, MongoDB stores 650 million plays (atomic unit such as point for volleyball, play for football) and associated metadata, which gets 1 billion video views per month. The MongoDB-based platform has streamed 18 petabytes of data in 2014. During peak football season, the platform ingests 25 hours of raw video per minute; that’s one quarter of what YouTube ingests.
Big numbers for a small company!
With MongoDB, Hudl has achieved steady, consistent growth and enabled Hudl to double in size. “MongoDB really facilitates rapid iterations, so the dev team can try things out and make mistakes – it’s magical for that,” said Kaiser. “MongoDB has led ops to promote squad growth and really empowered our company, and that’s something we’re proud of.”
To see all MongoDB World presentations, visit the [MongoDB World Presentations](https://www.mongodb.com/mongodb-world/presentations) page.
The Future Of Big Data On Display At MongoDB World This Week
Tens of thousands of organizations depend upon MongoDB, from the largest Fortune 500 enterprise to the smallest startup, and everything in between. But behind every company logo is a developer, and working alongside that developer is an operations professional. Ultimately, the success of organizations of any size depends upon these " kingmakers ." This week nearly 2,000 "kingmakers," along with the IT executives who love them and the system integrations, ISVs and IHVs who support them will gather in New York City for the inaugural MongoDB World . While MongoDB has hosted a range of events all over the planet, this is our biggest event yet, significantly overshadowing any other MongoDB event in size, scope and focus. I joined MongoDB nearly two years ago, and in that time I've seen the company more than double in size while the open source community around MongoDB has grown even more. In September 2012 I could never have guessed that we'd stage an event that would draw senior executives from Amazon, Citi, the U.S. Department of Veterans Affairs, Bosch, Verizon Wireless, Expedia, Sanofi-Aventis, Facebook and more. Even more impressive, these massive organizations would be joined on stage by cutting-edge startups like Hudl, Crittericism, Bugsnag, Cumulogic and others. The MongoDB community is its greatest strength, and this week we get to see that community in full force. If you haven't known whether to attend or not, you should. You will see how organizations of all kinds are building the future on modern data technologies like MongoDB and Hadoop. If attendance simply isn't possible, please see below for a way to participate through video. Working at MongoDB, I get to see the future written each day, app by app. But you're in an even better position: by using MongoDB, you get to invent the future. Please join me at MongoDB World - whether in person or by video - and become part of the biggest, fastest growing Big Data community on earth . To see all MongoDB World presentations, visit the [MongoDB World Presentations](https://www.mongodb.com/mongodb-world/presentations) page.
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.