Google Hotel Price allows users to search for hotels right on Google and in Google Maps, getting a list of hotels with prices, photos, reviews, and street view panoramas. Connecting your properties to this service can help you increase your traffic, expand your reach, and improve your reputation and user reviews.
MongoDB Atlas is a cloud database service for applications that works with Amazon AWS, Microsoft Azure, and Google Cloud Platform. The database service seeks to comply with the most stringent data security and privacy standards while offering a reliable suite of drivers, tools, and integrations. By automating numerous database management tasks, MongoDB Atlas helps developers build apps faster with less human error.
Bring all your Google Hotel Price data to Amazon Redshift
Load your Google Hotel Price data to Google BigQuery
ETL all your Google Hotel Price data to Snowflake
Move your Google Hotel Price data to MySQL
Specify a report you want to receive or retrieve a list of available reports. This can give you a solid understanding of your numbers and help you develop long-term insights.
List your submitted bids, including information about each bid and that bid’s multipliers. This information can help you see if you are bidding competitively and determine how to drive more customer volume to your properties.
Retrieve values displayed in the Hotel Ads Center scorecard view. This includes account-specific data, price accuracy scores, performance stats, opportunity stats, and more.
Get a report of your feeds so that you can have an updated understanding of your availability, prices, and hotels. Additionally, get insight into any errors or warnings that Google encountered so you can identify and fix issues ASAP.
Retrieve itinerary - check-in dates, length of stay, room rates, etc. - and pricing data for a particular property. This data can help you understand customer behavior, seasonal changes, and more.
View your Hotel List Feed to see valid hotels and hotels that aren’t indexed. Use this information to clean up your hotel list and fix any issues, including duplicate data, ambiguous or invalid names, etc.
The automated security features included in MongoDB Atlas let you monitor who has access to your data while securing your information against unwanted intrusions. Also, due to the platform's automation of mundane operational tasks — like provisioning and configuration, patching and upgrades, monitoring and alerts, advanced security automation, and disaster recovery — you don't have to be a data science expert to set up and run your databases.
MongoDB Atlas provides a variety of database security layers including advanced access control, IP whitelists, in-flight data encryption through TLS/SSL, optional encryption of your file system, and network isolation through Amazon VPCs and VPC Peering.
MongoDB Atlas offers multiple servers to provide 'always-on' availability. Even if your primary master goes down, multiple backups ensure that your system is always up and running.
The advanced backup and recovery features for MongoDB Atlas guard against data corruption. Whether the threat is from hackers or a team member's innocent mistake, you can rest easy knowing that, after a catastrophic, event you'll have a backup copy to recover your system from a specific time in the past.
MongoDB Atlas provides detailed information and statistics about your database systems. By organizing this information in numerous ways, the platform helps you understand when important changes or upgrades to your system may be necessary. Moreover, if it's time to make changes, you can provision new server instances in a flash.
Whether it's a new technology upgrade to improve database efficiency or a security patch to protect against a new security threat, MongoDB Atlas automatically upgrades or lets you upgrade with a single click, so you can take advantage of features as soon as they're available. Upgrades happen in a matter of minutes without any downtime required.
MongoDB Atlas includes a suite of tools that allow you to select your regions, billing options, and more — allowing you to customize server instances to your desired specifications.
MongoDB Atlas scales up and down — or scales out horizontally through automatic sharding — according to the needs of your company with zero application downtime. This allows you to grow beyond the limitations of one server without making your application too complex. Moreover, the platform's automatic balancing keeps information equally distributed across multiple replica sets as your data volumes grow, or as your cluster increases or decreases.