Abstract: Techniques for integrating applications using a container image of an integration flow are disclosed.

Abstract: Techniques for integrating applications using a container image of an integration flow are disclosed.

Abstract: A method may include generating a first database query to retrieve user profiles from a database. The user profiles may include a first attribute and a second attribute associated with a plurality of users. Reference data may be generated based on the user profiles. The reference data may include matrix representations of the user profiles. A clustering technique may be applied to the reference data in order to determine that a first user is similar to a second user with respect to the first attribute. In response to determining that the first user is similar to the second user, a second database query may be generated to retrieve a user profile of the first user from the database. A first recommendation for the second user may be determined based on the user profile of the first user. The first recommendation may include the second attribute of the first user.

Abstract: A method for generating graph based recommendations may be provided. The method may include querying a database to at least retrieve one or more resource profiles from the database. A graph representative of the one or more resource profiles retrieved from the database may be generated. The graph representative of the one or more resource profiles may include at least one relationship between a first attribute and a second attribute included in the one or more resource profiles. A recommendation for a target user may be generated based on at least a portion of the graph representative of the one or more resource profiles. Related systems and articles of manufacture, including computer program products, are also provided.

Abstract: A method may include generating a first database query to retrieve user profiles from a database. The user profiles may include a first attribute and a second attribute associated with a plurality of users. Reference data may be generated based on the user profiles. The reference data may include matrix representations of the user profiles. A clustering technique may be applied to the reference data in order to determine that a first user is similar to a second user with respect to the first attribute. In response to determining that the first user is similar to the second user, a second database query may be generated to retrieve a user profile of the first user from the database. A first recommendation for the second user may be determined based on the user profile of the first user. The first recommendation may include the second attribute of the first user.