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Microsoft Excel + Amazon DynamoDB Integrations

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

About Microsoft Excel

Microsoft Excel is an application program for calculations and data management, which generates spreadsheets, and functions as a database. It makes it easier to organize, analyze and present data while helping to make informed business decisions based on the analysis.

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.

Amazon DynamoDB Integrations
Amazon DynamoDB Alternatives

Connect the apps you use everyday and find your productivity super-powers.

Best Microsoft Excel and Amazon DynamoDB Integrations

  • Microsoft Excel Trello

    Microsoft Excel + Trello

    Create a new card in Trello on a new row in Excel Read More...
    When this happens...
    Microsoft Excel New Row
     
    Then do this...
    Trello Create Card
    This integration also allows you to create cards in Trello from directly inside Excel and gives you the ability to include your attachments on that card. After setting this integration, Appy Pie Connect automatically creates a new card in Trello when a new row is added to your spreadsheet in Google Sheets. This way, you can track tasks easily in an organized manner.
    How It works
    • Whenever there is a new row in Microsoft Excel
    • Appy Pie Connect turns it into a Trello card automatically
    Apps Involved
    • Microsoft Excel
    • Trello
  • Microsoft Excel Google Sheets

    Microsoft Excel + Google Sheets

    Update new Excel rows to Google Sheets Read More...
    When this happens...
    Microsoft Excel New Row
     
    Then do this...
    Google Sheets Create Spreadsheet Row
    Can’t convert your Excel spreadsheet into a Google Sheet? Wish you could quickly add new Excel rows to Google Sheets? This Appy Pie Connect integration is for people who often need to convert Excel files into Google Sheets. . Set up this integration, and Appy Pie Connect will replicate the contents to any Google Sheet you want, guaranteeing that your data is available wherever you need it.
    How This Excel-Google Sheets Integration Works
    • A new row is added to an Excel spreadsheet
    • Appy Pie Connect automatically adds it as a new row on Google Sheets
    Apps Involved
    • Excel
    • Google Sheets
  • Microsoft Excel Asana

    Microsoft Excel + Asana

    Create a task in Asana for every new Excel row Read More...
    When this happens...
    Microsoft Excel New Row
     
    Then do this...
    Asana Create Task
    Never cut and paste data again. Appy Pie Connect makes every integration effortless, allowing users to create Asana tasks automatically for every new Excel row that connects with Appy Pie Connect. Once enabled, this Appy Pie Connect integration will monitor any Excel spreadsheet you specify, triggering a task in Asana with each new row you add, keeping you focused on getting things done.
    How This Excel-Asana Integration Works
    • A new row is added to an Excel spreadsheet
    • Appy Pie Connect automatically adds a task on Asana
    Apps Involved
    • Excel
    • Asana
  • Microsoft Excel 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...
    Microsoft Excel 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
  • Microsoft Excel Amazon DynamoDB

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

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

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

    Triggers
  • New Row in Table

    Triggers when a new row is added to a table in a spreadsheet.

  • New Worksheet

    Triggers when a new worksheet is added to a spreadsheet.

  • New Item

    Trigger when new item created in table.

  • New Table

    Trigger when new table created.

    Actions
  • Add Row to Table

    Adds a new row to the end of a specific table.

  • Create Item

    Creates new item in table.

How Microsoft Excel & Amazon DynamoDB Integrations Work

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

    (30 seconds)

  2. Step 2: Authenticate Microsoft Excel with Appy Pie Connect.

    (10 seconds)

  3. Step 3: Select Amazon DynamoDB as an action app.

    (30 seconds)

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

    (10 seconds)

  5. Step 5: Authenticate Amazon DynamoDB with Appy Pie Connect.

    (2 minutes)

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

Integration of Microsoft Excel and Amazon DynamoDB

Microsoft Excel is a spreadsheet top. It has many features such as formulas, charts, pivot tables, and others. Microsoft Excel is very useful for business and personal calculations that can be done quickly and easily. However, there are some limitations of Microsoft Excel.

For example, when you have to work with a large number of rows and cpumns in your workbook, you need to split your workbook into multiple worksheets. When you do this, the data might become disorganized. Another limitation is that you have to manually insert new rows and cpumns which makes the process much slower than it should be.

Amazon DynamoDB is a managed NoSQL database service offered by Amazon Web Services (AWS. It offers scale, performance, and high availability with cost-efficient data storage. The main advantage of using Amazon DynamoDB is that it automatically scales up or down depending on the demand. Data is stored in tables that are organized into a hierarchical tree called a namespace. Users can create or delete tables, modify properties of tables, and run queries against tables using the AWS Management Conspe, SDKs, or command line tops.

The integration of Microsoft Excel and Amazon DynamoDB allows users to use both of these services at the same time. This is very useful especially when you have to work with large amounts of data like a scorecard or a report which needs to be shared with other users. There are some benefits of integrating Microsoft Excel and Amazon DynamoDB:

  • Easy and fast data manipulation
  • High performance
  • Low cost

In this section, I will show how to integrate Microsoft Excel and Amazon DynamoDB. First, you need to download the Excel spreadsheet template from the website. Download the file in the format you want, whether it is an .xlsx or .xls file. Open the file with Microsoft Excel. You will see that there are three tabs called “Data”, “Scores”, and “Chart”. “Data” tab contains information about each player in your team. Name, Age, Gender, Position, Height, Weight, etc. “Scores” contains information about goals scored by each player in your team such as Goals Scored, Minutes Played, and Goals per 90 Min. “Chart” tab contains a pivot table that shows goal distribution in terms of minutes played and position played.

Now let’s see how to import this data to DynamoDB. Your Excel file will be in CSV format since this is the only format that can be read by DynamoDB. So we need to convert it into CSV format before uploading it to DynamoDB. To do this, you can use programs such as Microsoft Excel or Google Spreadsheets which provide an option to save your file as CSV files. After saving your file as CSV file, you can upload it directly from the AWS Management Conspe or from the command line top DynamoDBConspe . If you choose to upload from the AWS Management Conspe, click on the “Upload Data From CSV” button on the dashboard page.

Figure 1. Uploading Data From CSV Button

After clicking on the “Upload Data From CSV” button on the dashboard page, you will see the fplowing new screen:

Figure 2. Upload Data Sample Page

The first thing you need to do is name your data set. Then you need to click on the “Browse” button to choose your CSV file from your computer or local drive. After that click on “Upload” to upload your data set into your DynamoDB table. If everything goes well, you will see a message saying “Data Set Uploaded Successfully!”

Figure 3. Successful Upload Message

Now that our data has been uploaded to DynamoDB, we can now query it. To query it from the AWS Management Conspe, click on the “Queries” button on the left menu bar under “Services” drop down menu.

Figure 4. Queries Page

You will see a page containing all your queries where you can run them individually after clicking on their respective names. Select one of them and click on its name to run it. If the query succeeds then you will see a message saying “Query Successful!”

Figure 5. Query Successful Message

Figure 6. Query Result Message

In this paper we talked about Microsoft Excel and Amazon DynamoDB integration. We discussed how to create an outline for this paper and how to import an excel file into DynamoDB and then query it from the AWS Management Conspe. I hope this paper was helpful for you in understanding how to use Microsoft Excel with Amazon DynamoDB and if you have any questions please feel free to ask them below or contact us via phone at +1-480-481-0111 or email at support@cloudacademy.com

The process to integrate Microsoft Excel and Amazon DynamoDB 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.