Amazon DynamoDB + uProc Integrations

Appy Pie Connect allows you to automate multiple workflows between Amazon DynamoDB and uProc

About Amazon DynamoDB

Amazon DynamoDB is a fully managed NoSQL database service offered by Amazon.com as a part of their Amazon Web Services portfolio. Many of the world’s renowned businesses and enterprises use DynamoDB to support their mission-critical workloads.

About uProc

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...).

uProc Integrations

Best Amazon DynamoDB and uProc Integrations

  • Amazon DynamoDB Amazon DynamoDB

    Amazon DynamoDB + Amazon DynamoDB

    Get IP2Location information for IP addresses from new AWS DynamoDB items and store it in a separate table Read More...
    When this happens...
    Amazon DynamoDB New Item
    Then do this...
    Amazon DynamoDB Create Item
    Amazon Web Services DynamoDB is a NoSQL database for applications to store and retrieve data, but it doesn't come with geolocation features built-in. That's where this automation comes in. Connect your AWS DynamoDB with Appy Pie Connect and whenever a new item is added to your AWS DynamoDB account, Appy Pie Connect will look up the geolocation of that item using IP2Location and automatically store the result to another table. You can use this automation for any IP on any AWS region.
    How This Integration Works
    • A new item is added to an AWS DynamoDB table
    • Appy Pie Connect sends an IP from it to IP2Location for geolocation query and then automatically add the results to another AWS DynamoDB table
    What You Need
    • AWS DynamoDB
    • IP2Location
  • Amazon DynamoDB Pipedrive

    uProc + Pipedrive

    Add persons in Pipedrive from new uProc people list entries Read More...
    When this happens...
    Amazon DynamoDB New Profile Added to List
    Then do this...
    Pipedrive Create Person
    Don't waste time entering data manually. Use this Appy Pie Connect integration and automatically creates people in your Pipedrive account from new profiles submitted to uProc. The integration allows leads submitted to uProc are sent directly to Pipedrive as leads.
    How This uProc – Pipedrive Integration Works
    • A new profile is added to the selected UProc's list
    • Appy Pie Connect creates a new person on Pipedrive.
    What You Need
    • uProc account
    • Pipedrive account
  • Amazon DynamoDB Pipedrive

    {{item.triggerAppName}} + {{item.actionAppName}}

    {{item.message}}
    When this happens...
    Amazon DynamoDB {{item.triggerTitle}}
    Then do this...
    {{item.actionAppImage}} {{item.actionTitle}}
Connect Amazon DynamoDB + uProc in easier way

It's easy to connect Amazon DynamoDB + uProc without coding knowledge. Start creating your own business flow.

  • New Item

    Trigger when new item created in table.

  • New Table

    Trigger when new table created.

  • Create Item

    Creates new item in table.

  • Select Tool

    Select a tool to perform verification or enrichment

How Amazon DynamoDB & uProc Integrations Work

  1. Step 1: Choose Amazon DynamoDB as a trigger app and Select "Trigger" from the Triggers List.

    (30 seconds)

  2. Step 2: Authenticate Amazon DynamoDB with Appy Pie Connect.

    (10 seconds)

  3. Step 3: Select uProc as an action app.

    (30 seconds)

  4. Step 4: Pick desired action for the selected trigger.

    (10 seconds)

  5. Step 5: Authenticate uProc with Appy Pie Connect.

    (2 minutes)

  6. Your Connect is ready! It's time to start enjoying the benefits of workflow automation.

Integration of Amazon DynamoDB and uProc

Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. It is a fully managed database that provides fast and predictable performance with seamless scalability. Amazon DynamoDB delivers a highly available, scalable, and flexible cloud database for fast performance of application-critical workloads.

uProc is a powerful library which allows you to build complex data processing pipelines. It provides many tops to facilitate parallelism in your computation, and also includes some powerful primitives that help you express parallelism in a declarative way.

Integration of Amazon DynamoDB and uProc

In the fplowing example, we will look at how to integrate Amazon DynamoDB and uProc. I have removed most of the code from this example to make it shorter. You can see the complete example here.

The first step is to import uProc’s interface package into our Go program. We are going to use uProc’s Scanner type to scan a table in Amazon DynamoDB. This is how we do that:

import ( "fmt" "github.com/unidoc/unidoc/drivedb" "github.com/unidoc/unidoc/udb" . // ... func main(. { scanner := drivedb.NewScanner(session, "tableName". defer scanner.Close(. for scanner.Next(. { err := scanner.Scan(context. if err != nil { fmt.Println(err. } else { fmt.Println(scanner.Value(). } } }

Here we created a new Scanner object using NewScanner . We passed the session object that we got from uProc’s Session type as the first parameter to NewScanner . The second parameter “tableName” contains the name of the table we want to scan. In this case it is “tableName”, which is the default name of the table in Amazon DynamoDB. After we created a scanner, we should call Next(. on it to get items one by one until there are no more items left. Then we call Close(. to close the scanner after all the data has been fetched.

We then create a for loop to iterate through each item returned by Next(. . The next item will be provided by calling Next(. inside the for loop body. We use the Scan method of Scanner to fetch each item from DynamoDB with a context object provided by uProc. If there was no error, we print out the value of the item that was fetched from DynamoDB with the Scan method. Otherwise, we print out the error message when there was an error fetching the item.

Benefits of Integration of Amazon DynamoDB and uProc

Running a query in Amazon DynamoDB without using uProc would take too long because it has a single-threaded query execution model and it is not designed to run sequential scans on a table with large data sets. Even running a query concurrently would not be sufficient since the thread pop size would have to be set extremely high to handle a large number of concurrent queries running on a table with large data sets. Running uProc on top of Amazon DynamoDB offers much better performance than running queries directly in Amazon DynamoDB or running them concurrently in Amazon DynamoDB directly from Go programs because it concurrently runs parts of the pipeline in parallel threads to process data faster than running them sequentially in a single thread. It also uses multiple threads to process each item sequentially in order to reduce the time it takes to process each item by using different threads to process different items simultaneously.

The process to integrate Amazon DynamoDB and uProc may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.