Slides and videos are now up from the largest ever MongoNYC, the one day conference in New York City dedicated to MongoDB. Based on feedback from attendees, here are the Top 5 Videos from MongoNYC, which range from a series of use cases, to best practices for using MongoDB in production.
- Growing Up MongoDB By Kiril Salvino, CTO and Founder, Gamechanger
- The right and wrong ways to implement MongoDB, Richard Kreuter, Consulting Manager, 10gen
- Managing a Maturing MongoDB Ecosystem, Charity Majors, Systems Engineer, Parse
- Real time integration between MongoDB and SQL Databases, Eugene Dvorkin, WebMD
- How to Keep Your Data Safe in MongoDB, Eliot Horowitz, CTO and Co-founder, 10gen
The Big Data Hoax That Wasn't
Welcome to the Age of Big Data. Or perhaps it’s the Age of Big Data Agnosticism. In a Newtonian twist, what started as a wave of hype for data’s transformational potential on organizations everywhere has turned into an equal and opposite backlash of big data naysaying. It is an understandable reaction to the great over-selling of big data as a kind of enterprise cure-all. Of course, in some companies, big data pilots have produced nothing but big piles of unfulfilled expectations. But the problem likely is not big data. Big data remains potentially the most powerful engine for business transformation to gain currency in the 21st century. The problem is that so much of what is sold as big data isn’t. It’s typically just lots of data. “Big data, that’s just data mining with a fancy new name.” How often have you heard that? It’s flatly false. The size or volume of the data does not matter in genuine big data analytics. Instead, savvy organizations already understand that big data is really about working with a mix of data types - structured and unstructured, from inside the organization and outside. It is CRM forms, but it also is Tweets, Facebook posts, TripAdvisor rants, Gmails, Outlook entries, even voicemail. In most organizations this does not add up to petabytes of data, as I’ve written before . Terabytes is the usual quantity even though that seems small by many measures. The complexity arises in the diversity of data. And that raises a problem. Not many databases have the flexibility to handle that many forms of data. And fewer databases have the agility to permit modifications on the fly - “Shouldn’t we add SMS data in here, too?” The right answer is, done. A database that cannot - with little fuss -- add a new row is too rigid for use in true big data analysis because the exciting - maybe maddening? - bit about big data today is that always there is new input that may enhance the overall result. Then there are the other questions: why are you collecting big data in the first place? What do you want from your analysis of it and this question is key because without targeted analytics, big data is just hoarding. As an insightful story in The Guardian recently posited, “Companies need to focus on big answers not big data. Instead of focusing upon the concept of big data, organizations should concentrate on the intelligence data can offer.” In other words, it’s not about the data: it’s about what intelligence can be drawn from it. The Guardian author calls himself a “big data sceptic” but, really, he isn’t. He just shares the frustration over the many mislabeled big data projects - that never were about big data - and also about the data hoarding that some companies do when they say they are committing to big data. Such projects rarely end well. Real big data - unstructured, from multiple sources - coupled with real analytics is a game changer that gives forward-thinking organizations insight that before was merely guesswork. One Texas city ran analyses to determine exactly what happened in parts of the city that experienced higher than anticipated growth and a resulting increase in value. This was true big data. In the mix were police reports, zoning violations, construction permits, parking tickets, you name it. If the data existed, it was fed into the analysis and the city began to see what it did - and didn’t do - to spur growth. Where could it get out of the way? Where could it proactively spur growth? It was real big data in action. And it’s why big data remains a big deal, despite the hype.
Top 5 MongoDB Podcast Episodes in 2022 (so far)
At MongoDB, one of our core values is to be focused on building together. One way we lean into this value is by bringing some of the best voices and stories from the database and tech communities onto our podcast. Podcasts help communities learn and connect. So as we head toward the end of the year, let’s take a look back—or, perhaps, a listen back—to our top episodes based on listens from The MongoDB Podcast so far in 2022. Episode 107 - Introduction to WiredTiger with Dr. Michael Cahill Dr. Michael Cahill co-founded the WiredTiger company and the storage engine by the same name. In our most-listened to episode from 2022 so far, Dr. Cahill sits down with Michael to talk about the storage engine, its strengths and capabilities, and a little about his journey as a database industry legend. Episode 108 - Exploring Postman with Arlemi Turpault In this episode of the MongoDB Podcast, Michael Lynn discusses Postman with Arlemi Turpault, Senior Developer Advocate at Postman. Postman is an application used for API testing. It is an HTTP client that tests HTTP requests, utilizing a graphical user interface through which we obtain different types of responses that need to be validated. Episode 109 - Prisma and MongoDB - Better Together Prisma is an open source ORM for Node.js and TypeScript that helps developers build faster and make fewer errors. On this episode, host Mike Lynn sits down with Nikolas Burk and Matt Miller of the Prisma team to discuss the Prisma + MongoDB launch week. Burk is a Developer Advocate and Miller is a Product Manager at Prisma, and together they outline what Prisma is now capable of with MongoDB support, including effects on developer workflows and efficiency. Episode 106 - Securing the Internet with Josh Aas, Sarah Gran of ISRG In this episode of the podcast, Michael talks with Josh Aas and Sarah Gran of the Internet Security Research Group (ISRG). They walk listeners through their mission to secure the internet through projects like Let's Encrypt , the automated digital certificate authority, and Prossimo , which focuses on transforming risks around memory safety in popular open source projects. MongoDB World Series Our number five blog so far in 2022 was a preview of MongoDB World. But why listen to a preview when you can dive into the actual event? Live at MongoDB World 2022, host Michael Lynn met with a variety of customers, partners, and experts on-site in New York City. Those conversations formed a great series filled with stories, learning and community. Check out the series episodes: Ep. 121 The MongoDB World Series - Oli Proulx from ChargeHub Ep. 120 The MongoDB World Series - Simcha Coleman from Inspirit Ep. 119 The MongoDB World Series - David Sarabia from inRecovery Ep. 118 The MongoDB World Series - Nick Gamble from Unqork Ep. 117 The MongoDB World Series - Beray Bentesen from Qubitro Ep. 116 The MongoDB World Series - Vatsal Singhal from Ultrahuman Subscribe to The MongoDB Podcast wherever you listen to your podcasts so you can stay up to date with all our new episodes, dropping weekly. And if you are a tech expert or enthusiast with a passion for sharing your thoughts, opinions, and stories, connect with Michael Lynn to discuss a podcast guest opportunity.