No
Confirm and Proceed
View More
View Less
Working...
Close
OK
Cancel
Confirm
System Message
Delete
Schedule
An unknown error has occurred and your request could not be completed. Please contact support.
Reserved - Scan in at least 10 minutes before the beginning of the session or you forfeit your seat.
This has been added to your Planner. Please note this is first come, first served. You have not reserved a seat in this activity.
Waitlisted - You may be assigned a reserved seat if one becomes available.

In order to find repeats of this session, please click on the session title to view the session details.
Personal Calendar
 
Conference Event
Meeting
Interests
There aren't any available sessions at this time.
System Message
This session is already scheduled at another time. Would you like to...
Loading...
Please enter a maximum of {0} characters.
{0} remaining of {1} character maximum.
Please enter a maximum of {0} words.
{0} remaining of {1} word maximum.
must be 50 characters or less.
must be 40 characters or less.
Session Summary
We were unable to load the map image.
This has not yet been assigned to a map.
Search Catalog
Reply
Replies ()
Search
New Post
Microblog
Microblog Thread
Post Reply
Post
Your session timed out.
Meeting Summary

ANT240-S - Build an in-place Amazon S3 data lake with MongoDB Atlas

Session Description

Companies are increasingly turning to Amazon S3 as a storage layer for building data lakes, since on-premises solutions struggle with schema management, custom development, and operations burdens. Amazon S3 is a cost-effective option for storing an enormous quantity of disparate, complex data, but querying requires further work. Leveraging the natural fit of the MongoDB Query Language, MongoDB Atlas Data Lake intelligently distributes query execution to analyze Amazon S3 documents in place without the need to transfer data or define schema. With a live demonstration and market examples, learn how to build your data lake where your data already lives. This presentation is brought to you by MongoDB, an APN Partner.

Session Speakers
Additional Information
Session
200 - Intermediate
Please note that session information is subject to change.
Session Schedule
    Media