Playback: How Cisco Deploys MongoDB For High Volume Time Series Data Streams
Playback is where the MongoDB blog brings you selected talks from around the world and around the industry. Here, we continue show-casing the great talks at MongoDB World 2018 from people running MongoDB in production and at scale.
The Network Assurance Engine team at Cisco Systems have a lot of experience with time series data and MongoDB. Larger network fabrics generate 12 million time series data points every hour and all of those data points need to be analyzed to ensure that the network and its applications are working correctly,
SDR Series: Moving Across the World to Build an SDR Program in Australia – Meet Ed Liao
Being a Sales Development Rep, or SDR, is often a first step to jump-starting a career in sales. At MongoDB, we have a culture that celebrates differences, fosters growth and enablement, and ensures that we provide our SDRs with the tools and the confidence that they need to grow their careers.
In this post, you will meet Ed Liao, who started a pilot project at MongoDB that was incredibly successful, and will now be moving from Austin, TX to Sydney, Australia to grow MongoDB’s business in ANZ.
Real Stories from Real Moms of MongoDB
In honor of this past Mother’s Day, we want to take the time to highlight some of the amazing mothers who work at MongoDB. Meghan, Ozge, and Lauren share their experiences about what it’s like to be a working mother and how motherhood has impacted their perspectives on life.
Atlas Plus: Load Sample Data For Easier Learning
It's easier than ever to get up and working with MongoDB with the new MongoDB Atlas Load Sample Data feature. One click and you get a set of essential datasets loaded into your database giving you the data you need to start your exploration.
T-5 Countdown to MongoDB World - Hackathons, Challenges and Tips
With just five weeks to go before we all get together at MongoDB World 2019, the planning and organizing is going full steam ahead. This week, the Hackathon winners have been announced, the weekly challenges are ongoing, and we have the answer to the question "When do you turn up for MongoDB World?"
Solving the Charts Challenge
In "Eliot’s MongoDB World Weekly Challenge - Week Two, you were set a task which involved using MongoDB Charts to answer some questions around where to send and house MongoDB engineers. Charts is a great way to visualize data, so even if you didn't do the challenge (there's one every Wednesday up to MongoDB World), you can still be a winner because we're going to show you how to get the solution.
MongoDB World Hackathon 2019 - Winners
We have been blown away by the creativity of all the projects submitted for the MongoDB World Hackathon. In total 75 teams submitted projects on a wide range of topics: healthcare, games, machine learning, IoT, and more. You all did a fantastic job!
But we do have to choose the winners. There are over $42,000 worth of prizes to be won. The top 3 teams will be flown out to MongoDB World in New York City. They will present their projects on stage and the first place winner will be chosen by an audience vote - winning $10,000! Without further ado, here are the winners:
Atlas Mapped: Private Network Peering on Azure & GCP
The MongoDB Atlas platform is constantly evolving and the Atlas Mapped series keeps you up to date with what's launched in Atlas over the past few weeks. In this edition, we look at the latest in private network peering options available on Azure and Google Cloud Platform.
CSM Series: Impacting the Customer Journey — Meet Taylor Francis
At MongoDB, we help our customers transform their ideas into reality. Our global Customer Success Managers are an integral part of a customer’s MongoDB journey and success in achieving ambitious goals. They are trusted advisors and the “go-to” people for best practices and advice.
MongoDB’s “CSM Series” explores the growth of our Customer Success Managers and the unique opportunities they help our customers explore, as well as the innovative techniques they use to build and shape our program.
JSON Schema Validation - Checking Your Arrays
In a previous post, I discussed some of the methods that can be used to “lock down” the schema in your MongoDB documents. In this second part of this series, I’ll continue on with techniques beyond simple required field and value validation. We’ll explore how to further benefit from MongoDB’s document model and see how to apply another validation technique to arrays.