As part of our mission to make MongoDB World accessible to all who want to attend, we’re proud to announce we’re offering childcare at MongoDB World, June 20-21 in Chicago.
The child care center will be available 9:00am - 5:00pm on June 20-21. It will be located onsite at the conference venue, next to our nursing room for new mothers. For the subsidized rate of $50 per child you can bring your children along to MongoDB World.
The deadline to sign up for child care is May 19, 2017. Availability is limited, so reserve your spot today.
- Safe & secure environment
- Breakfast, snacks, & lunch on each day
- Activities, including arts & crafts
The childcare center will be staffed by licensed professionals who are both Infant and Child CPR certified, First Aid certified, background checked, and trained to care for children ages newborn to 17 years. Children will be provided toys and will be able to participate in arts and crafts, group games, and team challenges. They will be entertained and engaged through the event, and when you pick them up, they’ll have a little handmade gift for you.
How to sign up for Child Care
When you register for MongoDB World, check the box next to the question Will you need child care at the event?
At the bottom of the registration form, in the Additional Items section, select Onsite Child Care.
Select the number of children you’d like to enroll (open to children ranging from 6 weeks to 13 years old). And select Add to Order.
Hurry, ticket prices for MongoDB World increase on March 3!
Sessions I’m Looking Forward to at MongoDB World 2017
Back in 2014, while I was working for BuzzFeed, the CTO asked if I wanted to head to MongoDB World. I had some basic understanding of MongoDB and how it made the lives easier for those who studied the information captured when users visited the BuzzFeed website, but that was it. I’ve always enjoyed attending conferences. They enable me to learn new technology while meeting the people who create and implement it. So I took Mark up on his offer and headed to my first MongoDB World . I even documented my attendance: ![MongoDB World 2014](https://webassets.mongodb.com/_com_assets/cms/MongoDB_Jay_twt-tvlzvx58f0.png) That nifty guidebook, which was also available as a mobile app, sent me on a journey to learn more about MongoDB. It steered me towards sessions on scaling, the benefits of sharding, and hardware selection for MongoDB that prepared me for future changes in technology I couldn’t have predicted at the time. A few months later, a thing with a dress made my life very interesting . We used MongoDB to collect the data as the event occurred. Having attended MongoDB World, I felt prepared for this record traffic. While our front end web servers may have buckled under some of the pressure, our data layer was rock solid. Rather than feel the pressure, I allowed my training to take control to work alongside my team. In 2016, after taking a journey further into Cloud Hosting, an opportunity arose for me to become a member of the MongoDB team as they launched MongoDB Atlas. I made sure that one of my primary tasks as part of this was to take part in MongoDB World as a presenter and give my first talk as a member of MongoDB. Fast forward to MongoDB World 2017, and my name is listed in the session catalogue for the second year straight. I’ll be presenting a Jumpstart Session on MongoDB Operations. Being part of MongoDB World, initially as an attendee and eventually as a member of the MongoDB staff, has been an extraordinary experience. I often think back to my tweet to @MongoDB . The sessions I attended in 2014 lead me to where I am today. Sessions I’m looking forward to At MongoDB, we recently released the session catalogue for MongoDB World 2017, June 20-21 in Chicago. As a presenter, I’m always excited to see who my peers are, so I get a chance to attend some of their sessions and meet with them to chat about our experience. We have quite a lineup this year. As a person who's attended this from both sides, I wanted to share a few that are already on my calendar: AWS Lambda and MongoDB Atlas A newcomer to MongoDB, Raphael Londner will discuss the important details when developing an application using the AWS Lambda platform along with MongoDB Atlas, MongoDB's DBaaS (Database as a Service). Raphael is taking a really cool step that I did myself. As soon as I joined MongoDB, I shared my operations, AWS, and MongoDB skills. Similarly, Raphael joined our team in 2017 with the goals of helping developers build new applications in easier ways. ETL for Pros: Getting Data Into MongoDB As a person who's trained me in the past, Andre Spiegel continues to impress me. He excels at explaining how to cut to the core of your problem and providing you with better ideas to solve it. Extract, Transform, Load (known as ETL) is a method to work with your data warehouse. Andre will cover how traditional methods of dealing with rows and columns can be modernized by using complex documents. He'll also discuss tuning of the bulk loading process. When you're dealing with hundreds of GBs to TBs of data, that loading process is a big deal; luckily Andre's session will help you best prepare and execute. How ThermoFisher Is Reducing Mass Spectrometry Experiment Times from Days to Minutes with MongoDB In 2016, Joseph Fluckinger from Thermo Fisher had a conversation on stage with Eliot Horowitz, MongoDB’s CTO, to discuss much of his team's success with using MongoDB at AWS Re:Invent. I missed this talk and only saw some video clips. Later that night, I had dinner with Joseph and other colleagues. We spoke for hours about how much he enjoyed working with our team to build his talk, and how much the software made a difference to Thermo Fisher. Hearing how his team replaced so many older SQL technologies with MongoDB to integrate with their tools – including a mass spectrometer – is something I’m really looking forward to. So as June approaches, I have a ton of work to do to ready myself to present at MongoDB World. But the work is worth it. I look forward to meeting the MongoDB engineers, open-source developers, masters and rookies that will attend. Regardless of skill level, you can build something big for you, your company or your career if you attend MongoDB World. I can't wait to see you there ! What about you? Take a look at our full list of presenters – anyone standing out you just HAVE to see? Like game designer Jane McGonigal ? What's the most interesting subject you have seen in our sessions catalogue ? There are three (count em… 1 - 2 - 3) sessions on Kubernetes . We have workouts, yoga, and even an international craft beer tasting. I hope you and possibly the rest of your team make it. We’d love to have you join us for our biggest event of the year. For more information on MongoDB World sessions, visit mongodbworld.com .
MongoDB Query API Webinar: FAQ
Last week we held a live webinar on the MongoDB Query API and our lineup of idiomatic programming language drivers. There were many great questions during the session, and in this post, what I want to do is share the most frequently asked ones with you. But first - here is a quick summary of what MongoDB Query API is all about if you are unfamiliar with it. What is MongoDB Query API? MongoDB is built upon the document data model . The document model is designed to be intuitive, flexible, universal, and powerful. You can easily work with a variety of data, and because documents map directly to the objects in your code, it fits naturally in your app development experience. MongoDB Query API lets you work with data as code and build any class of application faster by giving you extensive query capabilities natively in any modern programming language. Whether you’re working with transactional data, looking for search capabilities, or trying to run sophisticated real-time analytics, MongoDB Query API can meet your needs. MongoDB Query API has some unique features like its expressive query, primary and secondary indexes, powerful aggregations and transformations, on-demand materialized views, and more — enabling you to work with data of any structure, at any scale. Some key features to highlight: Indexes To optimize any workload and query pattern you can take advantage of a large set of index types like multi-key (for arrays), wildcard, geospatial, and more and index any field no matter how deeply nested it is within your documents. Fully featured secondary indexes are document-optimized and include partial, unique, case insensitive, and sparse. Aggregation Pipeline Aggregation pipeline lets you group, transform, and analyze your data to support any class of workload. You can choose from dozens of aggregation stages and over 200 operators to build modular and expressive pipelines. You can also use low-code tools like MongoDB Compass to drag and drop stages, examine intermediate output, and export to your programming language of choice. On-Demand Materialized Views The powerful $merge aggregation stage allows you to combine the results of your aggregation pipeline with existing collections to update and enrich data without having to recompute your entire data set. You can output results to sharded and unsharded collections while simultaneously defining indexes on each view Geospatial and Graph Utilize MongoDB’s built-in natively ability to store and run queries against geospatial data Use operators like $graphLookup to quickly traverse connected data sets These are just a few of the features we highlighted in the MongoDB Query API webinar. No matter what type of application you are thinking of building or managing, MongoDB Query API can meet your needs as the needs of your users and application change. FAQs for MongoDB Query API Here are the most common questions asked during the webinar: Do we have access to the data sets presented in this webinar? Yes, you can easily create a cluster and load the sample data sets into Atlas. Instructions on how to get started are here . How can I access full-text search capabilities? Text search is a standard feature of MongoDB Atlas. You can go to cloud.mongodb.com to try it out using sample data sets. Does VS code plugin support Aggregation? Yes, it does. You can learn more about the VS code plugin on our docs page. If you need to pass variable values in the aggregation, say the price range from the app as an input, how would you do that? This is no different than sending a query - since you construct your aggregation in your application you just fill in the field you want with value/variable in your code. Is there any best practice document on MongoDB query API to have stable performance and utilize minimum resources? Yes, we have tips and tricks on optimizing performance by utilizing indexes, filters, and tools here . Does MongoDB support the use of multiple different indexes to meet the needs of a single query? Yes, this can be accomplished by the use of compound indexes. You can learn more about it in our docs here . If you work with big data and create a collection, is it smarter to create indexes first or after the collection is filled (regarding the time to create a collection)? It is better to create the indexes first as they will take less time to create if the collection is empty, but you still have an option to create the index once the data is there in the collection. There are multiple great benefits of MongoDB’s indexing capabilities: When building indexes, there is no impact on your app’s availability since the index operation is online. Flexibility to add and remove indexes at any time. Ability to hide indexes to evaluate the impact of removing them before officially dropping them. Where do I go to learn more? Here are some resources to help you get started: MongoDB Query API page MongoDB University MongoDB Docs You can also check out the webinar replay here .