Compass 1.19.6 gets edgy

Dj Walker-Morgan
August 28, 2019 | Updated: August 30, 2019
#Compass

MongoDB Compass, the official GUI for connecting to MongoDB, recently had an update which was packed with support for the new MongoDB 4.2 server. These new features include support for Wildcard Indexes, Atlas Data Lake connections, and obscuring fields which are encrypted by Field Level Encryption.

Compass 1.19.6 also came with other useful additions that also work with previous MongoDB versions. For example, the aggregation pipeline builder now allows you to set the sample size, a number of documents to preview, and a timeout for the pipeline so you can more precisely tune its behavior while building your pipeline. You can also now create a pipeline-based read-only view in the aggregation builder.

What's edgy in Compass 1.19.6 is over in the Schema Tab when you work with geospatial data. If you have a collection with geospatial data and you call up the Schema view in Compass, the geospatial data will be detected and the points it represents displayed on a map.

Previous versions of Compass allowed you to click a circle tool on the map, then select a point and then drag out a circle to select a number of those points. That would in turn create a $geoWithin filter with an appropriately sized $centerSphere, which you could use to view the collections.

Polygon Selection

Of course, not every boundary can be defined as a circle. In Compass 1.19.6, you will find next to the circle icon a polygon, and if you select that tool, you'll be able to click the points of a polygon as your bounding shape. Again, the $geoWithin filter will be created, this time with a $polygon to match your selection. You can also combine polygons and circles on the same view, with the $geowithin filters being combined in a $or query.

With Compass 1.19.6, you can pick out the edges and areas you've never been able to select in Compass before and compose more complex geospatial selections.

MongoDB Compass is available in four editions - the full edition, specialized read-only and isolated editions are for MongoDB subscribers, while the free-to-use Community edition is for everyone else. Note the Community edition does not offer the Schema tab. You can download Compass from the MongoDB Download Center where you will find all editions.

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Using MongoDB Skill Scanner to Build Better Training Programs

Technology leaders know that transformation is about more than just adopting modern technologies like MongoDB. The entire organization has to rally behind change — which is no easy task. The skills that modern development teams need are evolving faster than ever, and hiring to fill skills gaps can be too time-consuming and expensive of a process for many organizations. So it’s imperative that we plan for how we want to bring our people with us on our modernization journey, and proactively upskill them on the technologies we’re betting on. Because what happens if you choose MongoDB, but your developers don’t know how to use it? CIOs know that training programs are easier said than done. EY reported that 30% of CIOs acknowledge that their training programs are ineffective, and that they’re struggling to retain talent because of it. These leaders come to us to help them build and execute their MongoDB training programs , and seek advice on two extremely common yet critical challenges: How do we get away from the less effective one-size-fits-all approach? How do we measure the ROI of our training program and connect it to business impact? How we use MongoDB Skill Scanner to overcome training challenges Our Professional Services team uses a tool called MongoDB Skill Scanner to address both of these challenges. This tool helps us provide these three benefits to our customers looking to build a training program: Improve MongoDB proficiency: Teams can use Skill Scanner to quickly and easily assess the MongoDB skill gaps of their team members and gain a comprehensive understanding of their team’s MongoDB skills baseline. Increased productivity and accuracy: When team members have a comprehensive understanding of MongoDB, they are able to work more quickly and accurately on projects, leading to increased productivity and a higher quality of work. Save time and money with targeted Training: Using Skill Scanner, customers can avoid wasting time and money on trial-and-error learning. Instead, they can focus on improving their skills in a more targeted and efficient way with right-sized training plans. By leveraging this data, our customers’ engineers can engage in the right training at the right time, targeted for their job role and specific skill shortages. When a training program is built this way, engineers maximize their knowledge retention and minimize time away from their projects. Skill Scanner includes three role-based assessments, one for developers, database administrators, and DevOps respectively. Through a series of multiple choice questions, Skill Scanner provides customers with a clear understanding of their level of expertise across a set of technical skills that are critical for success in their role. After submitting the assessment, engineers will get results in each skill area outlining if they are beginner, intermediate, or advanced. Why data-driven training programs matter We’ve learned that it’s not enough to just tell teams to go watch training videos or webinars on their own, or to place everyone in the same one-size-fits-all program. Skills gaps vary from team to team, and individual to individual. The one-size-fits-all approach of some programs may not address individual learners' needs, wasting time and making it difficult for them to acquire new skills. By using Skill Scanner, we’re able to interpret this data to help determine which training courses your team should take. 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