Abstract: The present disclosure relates to systems and methods for backing up a distributed database provided as a database instance across servers within a first geographic region. In one example, such a system may include at least one processor configured to: generate and transmit a command to duplicate the distributed database in object databases on first region servers; generate and transmit a command to duplicate the object databases on servers in at least a second geographic region independent from servers in the first region; and, when an error is detected with at least one server within the first region: generate and transmit a command to initiate a new distributed database on second region servers, generate and transmit a command to populate the new distributed database using the object databases on second region servers, and generate and transmit a command to re-route traffic from the distributed database to the new distributed database.

Abstract: A device receives test parameters associated with testing an application that utilizes source data, and causes source containers, for the source data, to be temporarily created in a cloud computing environment, based on the test parameters. The device provides the source data to the source containers in the cloud computing environment, and causes other containers, for the application, to be temporarily created in the cloud computing environment, based on the test parameters. The device creates a file for testing the application with the source containers and the other containers, based on the test parameters, and causes the application to be executed with the source containers and the other containers, based on the file. The device receives results associated with executing the application with the source containers and the other containers.

Abstract: Systems, methods, and media for real-time processing of event-based streaming with NoSQL databases are provided. For example, disclosed embodiments may include receiving an event associated with an update to an entry in a first database. Also, disclose embodiments may include identifying, based on the event, relevant data in the first database associated with the update. Further, disclose embodiments may include generating a plurality of queries to the first database to request the identified relevant data. Disclose embodiments may also include receiving, in response to the plurality of queries, raw data from the first database. Additionally, disclose embodiments may include processing the raw data to be compatible with a second database. Disclose embodiments may also include storing the processed raw data in the second database. And, disclosed embodiments may include receiving data requests for the second database to distribute the processed data to at least one computer terminal.

Abstract: A system and method in accordance with example embodiments may include systems and methods for a cloud-based analytics platform. The cloud-based analytics platform may allow the manual and automatic uploading to and/or downloading from a cloud server. The platform may include single sign-on (SSO) capabilities such that a user may have one set of credentials to access data from the cloud-based analytics and/or data stored locally. The platform may include data validation and processing in order to provide real-time feedback on uploads based on file type, file size, access rights, extracted data, and transformed data.

Abstract: A system and method in accordance with example embodiments may include systems and methods for a cloud-based analytics platform. The cloud-based analytics platform may allow the manual and automatic uploading to and/or downloading from a cloud server. The platform may include single sign-on (SSO) capabilities such that a user may have one set of credentials to access data from the cloud-based analytics and/or data stored locally. The platform may include data validation and processing in order to provide real-time feedback on uploads based on file type, file size, access rights, extracted data, and transformed data.

Abstract: Systems, methods, and media for real-time processing of event-based streaming with NoSQL databases are provided. For example, disclosed embodiments may include receiving an event associated with an update to an entry in a first database. Also, disclose embodiments may include identifying, based on the event, relevant data in the first database associated with the update. Further, disclose embodiments may include generating a plurality of queries to the first database to request the identified relevant data. Disclose embodiments may also include receiving, in response to the plurality of queries, raw data from the first database. Additionally, disclose embodiments may include processing the raw data to be compatible with a second database. Disclose embodiments may also include storing the processed raw data in the second database. And, disclosed embodiments may include receiving data requests for the second database to distribute the processed data to at least one computer terminal.

Abstract: A multi-table data validation tool is run following migration of data from a source database to a target database. The multi-table data validation tool extracts data from source and target locations into memory, transforms data and masks confidential data as needed, then performs two types of data comparison, including row count and data content comparison. Result files of each comparison are available to the migration team, enabling updates and improvements to the migration tools. The multi-table data validation tool may further be used to extract requested data from either the source database or the target database. The multi-table data validation tool may be dockerized as a container for ease of deployment in different environments.

Abstract: A multi-table data validation tool is run following migration of data from a source database to a target database. The multi-table data validation tool extracts data from source and target locations into memory, transforms data and masks confidential data as needed, then performs two types of data comparison, including row count and data content comparison. Result files of each comparison are available to the migration team, enabling updates and improvements to the migration tools. The multi-table data validation tool may further be used to extract requested data from either the source database or the target database. The multi-table data validation tool may be dockerized as a container for ease of deployment in different environments.

Abstract: Systems, methods, and media for real-time processing of event-based streaming with NoSQL databases are provided. For example, disclosed embodiments may include receiving an event associated with an update to an entry in a first database. Also, disclose embodiments may include identifying; based on the event, relevant data in the first database associated with the update. Further, disclose embodiments may include generating a plurality of queries to the first database to request the identified relevant data. Disclose embodiments may also include receiving, in response to the plurality of queries, raw data from the first database. Additionally, disclose embodiments may include processing the raw data to be compatible with a second database. Disclose embodiments may also include storing the processed raw data in the second database. And, disclosed embodiments may include receiving data requests for the second database to distribute the processed data to at least one computer terminal.

Abstract: A system and method in accordance with example embodiments may include systems and methods for a cloud-based analytics platform. The cloud-based analytics platform may allow the manual and automatic uploading to and/or downloading from a cloud server. The platform may include single sign-on (SSO) capabilities such that a user may have one set of credentials to access data from the cloud-based analytics and/or data stored locally. The platform may include data validation and processing in order to provide real-time feedback on uploads based on file type, file size, access rights, extracted data, and transformed data.

Abstract: A system and method in accordance with example embodiments may include systems and methods for a cloud-based analytics platform. The cloud-based analytics platform may allow the manual and automatic uploading to and/or downloading from a cloud server. The platform may include single sign-on (SSO) capabilities such that a user may have one set of credentials to access data from the cloud-based analytics and/or data stored locally. The platform may include data validation and processing in order to provide real-time feedback on uploads based on file type, file size, access rights, extracted data, and transformed data.

Abstract: A multi-table data validation tool is run following migration of data from a source database to a target database. The multi-table data validation tool extracts data from source and target locations into memory, transforms data and masks confidential data as needed, then performs two types of data comparison, including row count and data content comparison. Result files of each comparison are available to the migration team, enabling updates and improvements to the migration tools. The multi-table data validation tool may further be used to extract requested data from either the source database or the target database. The multi-table data validation tool may be dockerized as a container for ease of deployment in different environments.

Abstract: The present disclosure relates to systems and methods for updating virtual machines without rebuilding distributed databases thereon. In one example, a system for updating a virtual machine on a cloud service may include at least one processor configured to: generate and transmit, to the cloud service, a first command to disconnect a virtual storage from a first virtual machine; after the virtual storage is disconnected, generate and transmit, to the cloud service, a second command to offline the first virtual machine; generate and transmit, to the cloud service, a third command to build a second virtual machine; after the second virtual machine is built, generate and transmit, to the cloud service, a fourth command to connect the virtual storage to the second virtual machine; and generate and transmit, to the cloud service, a fifth command to online the second virtual machine with the address of the virtual machine.

Abstract: The present disclosure relates to systems and methods for backing up a distributed database provided as a database instance across servers within a first geographic region. In one example, such a system may include at least one processor configured to: generate and transmit a command to duplicate the distributed database in object databases on first region servers; generate and transmit a command to duplicate the object databases on servers in at least a second geographic region independent from servers in the first region; and, when an error is detected with at least one server within the first region: generate and transmit a command to initiate a new distributed database on second region servers, generate and transmit a command to populate the new distributed database using the object databases on second region servers, and generate and transmit a command to re-route traffic from the distributed database to the new distributed database.

Abstract: A device receives test parameters associated with testing an application that utilizes source data, and causes source containers, for the source data, to be temporarily created in a cloud computing environment, based on the test parameters. The device provides the source data to the source containers in the cloud computing environment, and causes other containers, for the application, to be temporarily created in the cloud computing environment, based on the test parameters. The device creates a file for testing the application with the source containers and the other containers, based on the test parameters, and causes the application to be executed with the source containers and the other containers, based on the file. The device receives results associated with executing the application with the source containers and the other containers.

Abstract: A device receives test parameters associated with testing an application that utilizes source data, and causes source containers, for the source data, to be temporarily created in a cloud computing environment, based on the test parameters. The device provides the source data to the source containers in the cloud computing environment, and causes other containers, for the application, to be temporarily created in the cloud computing environment, based on the test parameters. The device creates a file for testing the application with the source containers and the other containers, based on the test parameters, and causes the application to be executed with the source containers and the other containers, based on the file. The device receives results associated with executing the application with the source containers and the other containers.

Abstract: A system and method in accordance with example embodiments may include systems and methods for a cloud-based analytics platform. The cloud-based analytics platform may allow the manual and automatic uploading to and/or downloading from a cloud server. The platform may include single sign-on (SSO) capabilities such that a user may have one set of credentials to access data from the cloud-based analytics and/or data stored locally. The platform may include data validation and processing in order to provide real-time feedback on uploads based on file type, file size, access rights, extracted data, and transformed data.

Abstract: Systems, methods, and media for real-time processing of event-based streaming with NoSQL databases are provided. For example, disclosed embodiments may include receiving an event associated with an update to an entry in a first database. Also, disclose embodiments may include identifying; based on the event, relevant data in the first database associated with the update. Further, disclose embodiments may include generating a plurality of queries to the first database to request the identified relevant data. Disclose embodiments may also include receiving, in response to the plurality of queries, raw data from the first database. Additionally, disclose embodiments may include processing the raw data to be compatible with a second database. Disclose embodiments may also include storing the processed raw data in the second database. And, disclosed embodiments may include receiving data requests for the second database to distribute the processed data to at least one computer terminal.

Abstract: A system and method in accordance with example embodiments may include systems and methods for a cloud-based analytics platform. The cloud-based analytics platform may allow the manual and automatic uploading to and/or downloading from a cloud server. The platform may include single sign-on (SSO) capabilities such that a user may have one set of credentials to access data from the cloud-based analytics and/or data stored locally. The platform may include data validation and processing in order to provide real-time feedback on uploads based on file type, file size, access rights, extracted data, and transformed data.

Abstract: The present disclosure relates to systems and methods for backing up a distributed database provided as a database instance across servers within a first geographic region. In one example, such a system may include at least one processor configured to: generate and transmit a command to duplicate the distributed database in object databases on first region servers; generate and transmit a command to duplicate the object databases on servers in at least a second geographic region independent from servers in the first region; and, when an error is detected with at least one server within the first region: generate and transmit a command to initiate a new distributed database on second region servers, generate and transmit a command to populate the new distributed database using the object databases on second region servers, and generate and transmit a command to re-route traffic from the distributed database to the new distributed database.