uProc is a multipurpose data platform: clean, verify or enrich any field in forms, databases, files or applications with multiple categories supported (persons, companies, products, communications, social...).
Schedule, dispatch and track your fleet with an intuitive & powerful on-demand delivery management platform.Tookan Integrations
It's easy to connect uProc + Tookan without coding knowledge. Start creating your own business flow.
Trigger when new task created.
Select a tool to perform verification or enrichment
Adds a new agent
Create a new customer.
Create a Delivery Task
Create a Pick and Delivery Task.
Creates a pick task.
Create an Appointment Task
Create an FOS Workflow Task.
The uProc framework is a Scala library for programming concurrent and distributed systems. It provides a lightweight thread-local message-passing runtime using a software transactional memory (STM. library. The STM library uses the infamous software transactional memory technique, which relies on locks to provide mutual exclusion in a distributed system. 
Tookan is a Scala library with a domain-specific language to define and execute MapReduce jobs. It provides a simple way to define a distributed task in a functional way. It also provides a functional API to perform several operations with Tookan operations, such as cplect, count, filter, group by key, etc. 
While each of these frameworks took time to reach maturity, the integration of these frameworks into one another is definitely an achievement that can be considered as one of the most important accomplishments in distributed computation frameworks. There are many benefits that come along with this integration. One of them is its simplicity; it takes only four lines of code to integrate uProc with Tookan. The integration of these frameworks makes both of them more robust and reliable. This integration helps streamline the development process because the developers no longer need to bother about the intricacies of programming distributed systems. Instead, they will be able to focus more on the business logic, making their applications more efficient and scalable. This integration also makes it easier for testing purposes because all aspects of the application can be tested at the unit level first before moving onto integration tests.
The first step towards integrating uProc with Tookan is to create an instance of the uProc runtime. Then, create an instance of Tookan’s DSLContextFromTookan class. Afterwards, create an instance of Tookan’s DSLContextFromUproc class using the previous two instances as parameters. Once the third instance has been created, you can feed it with any data type that the domain-specific language supported by Tookan supports. Finally, call the run method on your instance of DSLContextFromUproc to start executing your application. 
This integration will help improve overall efficiency because both frameworks are written in Scala, which helps reduce the learning curve for developers who are not familiar with Scala. Also, because both frameworks are similar in terms of syntax, errors are easily respved after compilation because Scala static type checking catches many mistakes during compile time. Furthermore, since both frameworks are written in Scala, they are both compiled into Java bytecode, allowing them to run on any JVM. The integration of these frameworks will also help improve the overall reliability of this system because both frameworks have different approaches to spving problems. They have different ways of handling failures but also have different ways of handling success conditions as well, which means that there is no single point of failure in this system. Finally, this integration will help eliminate complexity because there are now only three classes to develop instead of the eight classes that were required before this integration took place. 
In summary, I hope this article will inspire you to try out both frameworks and see how you can integrate them into your next project or idea!
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