Airbnb for Work is a travel management option providing work-ready homes for remote employees traveling or on the go.
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AWS Glue
Score 8.6 out of 10
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AWS Glue is a managed extract, transform, and load (ETL) service designed to make it easy for customers to prepare and load data for analytics. With it, users can create and run an ETL job in the AWS Management Console. Users point AWS Glue to data stored on AWS, and AWS Glue discovers data and stores the associated metadata (e.g. table definition and schema) in the AWS Glue Data Catalog. Once cataloged, data is immediately searchable, queryable, and available for ETL.
It is great for those travelers looking for longer-term accommodations, such as greater than a week or a few weeks. For those staying for only a day or two, it can still be useful, but a hotel may be more appropriate for these kinds of stays. Moreover, many of our travelers like the ability to have a full apartment due to the nature of their stay or the length, and thus using this allows us this added flexibility in finding accommodations with this.
One of AWS Glue's most notable features that aid in the creation and transformation of data is its data catalog. Support, scheduling, and the automation of the data schema recognition make it superior to its competitors aside from that. It also integrates perfectly with other AWS tools. The main restriction may be integrated with systems outside of the AWS environment. It functions flawlessly with the current AWS services but not with other goods. Another potential restriction that comes to mind is that glue operates on a spark, which means the engineer needs to be conversant in the language.
It is extremely fast, easy, and self-intuitive. Though it is a suite of services, it requires pretty less time to get control over it.
As it is a managed service, one need not take care of a lot of underlying details. The identification of data schema, code generation, customization, and orchestration of the different job components allows the developers to focus on the core business problem without worrying about infrastructure issues.
It is a pay-as-you-go service. So, there is no need to provide any capacity in advance. So, it makes scheduling much easier.
The user interface is very user friendly. It makes it easy to filter through the different options it has to offer based on price, location, and the scenery you as the customer would most prefer. This is an extremely helpful feature when there are so many choices to choose from
While easy to set up and manage monitoring for large datasets, its complexity can be a barrier for new users. Integration with AWS Ecosystem, Managed Monitoring, Dashboards and monitoring tools for AWS Glue are generally easy to set up and maintain, Automated Data Pipelines. Automates data pipeline creation, making it efficient for certain data integration
Amazon responds in good time once the ticket has been generated but needs to generate tickets frequent because very few sample codes are available, and it's not cover all the scenarios.
Airbnb for Work is very useful for any city. Our practicality of staying where we want is excellent, it really helps us a lot and I'm sure it has already "saved" several people who made last minute reservations, just like me hahaha. We have other platforms that can also help us, but we have a certain preference for Airbnb.
AWS Glue is a fully managed ETL service that automates many ETL tasks, making it easier to set AWS Glue simplifies ETL through a visual interface and automated code generation.
It has helped our organization to save costs since one place can accommodate many co-workers rather than booking rooms for only two people where the team travels in a group.
Better deals are available if you are regular customer
Upgrade options are available which help save money rather than buying a premium suite
We are using GLUE for our ETL purpose. it’s ease with other our AWS services makes our ROI, 100% ROI.
One missing piece was compatibility with other data source for which we found a work around and made our data source as S3 only, so our dependencies on other data source is also reducing
