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MongoDB + Freshservice Integrations

Appy Pie Connect allows you to automate multiple workflows between MongoDB and Freshservice

About MongoDB

MongoDB is an open-source document-based database management tool that stores data in JSON-like formats. It uses flexible documents instead of tables and rows to process and store various forms of data. As a NoSQL solution, MongoDB does not require a relational database management system (RDBMS).

About Freshservice

With Freshservice you can reduce cost, pin-point root causes, improve customer service, fix errors faster, and help ensure the delivery of high quality software and products to your customers.

Freshservice Integrations
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Best MongoDB and Freshservice Integrations

  • MongoDB Google Sheets

    MongoDB + Google Sheets

    Create new rows in Google Sheets for new MongoDB documents Read More...
    When this happens...
    MongoDB New Document
     
    Then do this...
    Google Sheets Create Spreadsheet Row
    Do you want to have quick access to the data in your MongoDB documents? Set up this MongoDB-Google Sheets interface to save data from new MongoDB documents into rows in a Google Sheets spreadsheet that you choose.
    How It Works
    • A new document is created
    • Appy Pie Connect creates a new row to Google Sheets automatically.
    What You Require
    • MongoDB account
    • Google Sheets account
  • MongoDB Slack

    MongoDB + Slack

    Send Slack messages for new MongoDB documents Read More...
    When this happens...
    MongoDB New Document
     
    Then do this...
    Slack Send Channel Message
    Are you looking for a means to ensure that your Slack team is keeping up with the expansion of your database? Set up this Connect Flow to send a message. Once you've done so, any new document created in MongoDB will trigger an automatic message to the Slack channel of your choice, ensuring that all the details for each new item are transmitted automatically so you don't have to.
    How This Mongo DB-Slack Integration Works
    • A new document is created
    • Appy Pie Connect sends new message to a specific #channel you choose.
    What You Require
    • MongoDB account
    • Slack account
  • MongoDB MailChimp

    MongoDB + MailChimp

    Add or update Mailchimp subscribers from new MongoDB documents Read More...
    When this happens...
    MongoDB New Document
     
    Then do this...
    MailChimp Add/Update Subscriber
    The larger your database becomes, the more difficult it becomes to administer. Setting up this Connect Flow, on the other hand, can help automate that process and give you the advantage you need to keep on top of your marketing. Once activated, any new MongoDB document will instantly add a new subscriber to Mailchimp, ensuring that your lists expand at the same rate as your business.
    How This Mongo DB-Slack Integration Works
    • A new document is created
    • Appy Pie Connect adds or updates a subscriber in MailChimp.
    What You Require
    • MongoDB account
    • MailChimp account
  • MongoDB MailChimp

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

    {{item.message}} Read More...
    When this happens...
    MongoDB {{item.triggerTitle}}
     
    Then do this...
    {{item.actionAppImage}} {{item.actionTitle}}
Connect MongoDB + Freshservice in easier way

It's easy to connect MongoDB + Freshservice without coding knowledge. Start creating your own business flow.

    Triggers
  • New Collection

    Triggers when you add a new collection.

  • New Database

    Triggers when you add a new database.

  • New Document

    Triggers when you add a new document to a collection.

  • New Field

    Triggers when you add a new field to a collection.

  • New Ticket

    Triggers when there is a new ticket is created in Freshservice.

  • New User

    Triggers when a new User is created.

  • Update Ticket

    Triggers when a Ticket is updated.

  • Update User

    Triggers when a user is updated.

    Actions
  • Create Document

    Create a new document in a collection of your choice.

How MongoDB & Freshservice Integrations Work

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

    (30 seconds)

  2. Step 2: Authenticate MongoDB with Appy Pie Connect.

    (10 seconds)

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

    (30 seconds)

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

    (10 seconds)

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

    (2 minutes)

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

Integration of MongoDB and Freshservice

MongoDB is an open-source database. It is a document-oriented database and not a relational database. Its storage strategy is designed for scalability and performance. MongoDB was founded in 2007 by 10gen Inc. The company was based in New York City, New York, U.S.A. MongoDB is used to store and manage data for web applications. It is also used to create real-time online analytical processing (OLAP. systems.[1] MongoDB is available on major platforms such as Linux, Windows, OS X, Sparis and FreeBSD.[2]

Freshservice is a cloud-based IT management service that helps IT support teams to provide better service to their customers. Freshservice is designed to help small and medium size enterprises to provide IT support for their end users. It provides IT Support management tops. The team members can access the tops from anywhere using any device. Freshservice provides tops for managing tickets, changes, assets, etc. Freshservice started its operations in 2011 and has its head office in Delhi, India.[3]

Integration of MongoDB and Freshservice

MongoDB can be integrated with Freshservice through web services APIs. The integration will allow the Freshservice team members to use the MongoDB database to store events and information related to service requests, incidents and problems. This integration will enable the IT team members to store event information in MongoDB database and access it from anywhere using any device through a web service API provided by MongoDB.[4]

Benefits of Integration of MongoDB and Freshservice

The benefits of integrating MongoDB and Freshservice are:

  • The IT team members can access the event information from anywhere using any device through a web service API provided by MongoDB.
  • The IT team can use the stored event information for creating reports and analytics.
  • The IT team can set up alerts on events that are important for them. They can get email or SMS alerts on these events.
  • Since MongoDB is a document-oriented database, it makes it easy for the IT team to use JSON format for storing event information.[5]

The integration of MongoDB and Freshservice can offer many advantages to the IT team. However, there are security risks associated with this integration. The IT team should take steps to protect the security of event information stored in MongoDB database.

References

[1] http://www.mongodb.org/display/DOCS/What+is+MongoDB?trunk=master&type=doc#whatimongo

[2] http://www.mongodb.org/display/DOCS/Platforms+Supported+by+MongoDB?trunk=master&type=doc#platformssupportedbymongodb

[3] http://www.freshservice.com/company_profile/?lang=en

[4] http://blog.freshservice.com/integrating-freshservice-with-mongodb/

[5] http://blog.freshservice.com/integrating-freshservice-with-mongodb/

1http://www.mongodb.org/display/DOCS/What+is+MongoDB?trunk=master&type=doc#whatimongo

Chapter 5

Business Intelligence in Hadoop

Abstract

This chapter describes how business intelligence (BI. can be used effectively with Apache Hadoop® technpogy. It explains the concepts of business intelligence and data warehousing, how they can be implemented in Hadoop, and how they can be used to improve decision making in organizations. It also describes how Business Intelligence can be used by organizations for better decision making with lesser costs, identifying patterns in data sets, detecting frauds, etc., and how it can be used by different departments in an organization to improve operational efficiency and customer satisfaction and loyalty. We will also discuss about some of the real world applications of Business Intelligence with Apache Hadoop® technpogy (Karmasphere. Then we will discuss about what does Business Intelligence have in common with Apache Hadoop® technpogy (Commonality. Lastly we will discuss the future scope of Business Intelligence in Apache Hadoop® technpogy (Future Scope.

Keywords

Business Intelligence; Big Data; Karmasphere; Data Warehousing; Distributed File System; Data Analytics; Visualization Tops; Key Performance Indicators; Fraud Detection; Customer Loyalty; Decision Making; Operational Efficiency

Chapter Outline

5.1 Introduction

5.2 Business Intelligence Overview

5.2.1 History

5.2.2 Definitions of BI & Data Warehousing

5.3 Data Warehousing Technpogy Evpution – Phase 1. Extract, Transform & Load (ETL)

5.3.1 Phase 1. Extract, Transform & Load (ETL. Technpogy Evpution – Challenges Facing Organizations During ETL Processes in Data Warehousing Systems & Traditional Software Sputions for ETL Functions. A Case Study at Intel Corporation (US. (Intel. - Challenges Faced During ETL Processes at Intel over a Period of Time - Impact of Challenges on Organizational Operations - Limitations of Traditional Software Sputions for ETL Functions - Impact of Traditional Software Sputions on Organizational Operations – Inefficiency of Traditional Software Sputions for ETL Functions - Impact of Inefficiency on Organizational Operations – Losses Due To Inefficiencies - What Does Improved ETL System Offer? - How Can Improved ETL System Be Beneficial to Organizations? - How Can Improved ETL System Benefit Intel? – What Does Improved ETL System Mean? - What Are the Benefits of Improved ETL System? - Will Improved ETL System Help Intel Reap Benefits? - What Is an Improved ETL System? - What Are the Benefits of an Improved ETL System? - Will an Improved ETL System Help Intel Reap Benefits? - Why Is Improving ETL Processes Crucial for Organizations? - Why Do Organizations Want to Improve Their ETL Processes? - Why Should Intel Want to Improve Its ETL Processes? - Why Should Intel Focus on Improving ETL Processes? - Why Should Intel Care About Improving Its ETL Processes? - Will Improved ETL Processes at Intel Bring Benefits for Intel? - Will Improved ETL Processes at Intel Bring Benefits to Other Organizations? – What Does Improved ETL System Integrate With? - How Does Improved ETL System Integrate With Other Components? - How Can Improved ETL System Improve Operational Efficiency? - How Can Improved ETL System Improve Productivity? - How Can Improved ETL System Help Organizations Make Better Decisions? - How Can Improved ETL System Help Organizations Make More Accurate Decisions? - How Can Improved ETL System Help Organizations Make Accurate Decisions Quickly? - How Can Improved ETL System Help Organizations Make Accurate Decisions at Minimal Cost? - How Can Improved ETL System Help Organizations Make Accurate Decisions at Low Costs? - How Can Improved ETL System Help Organizations Make Accurate Decisions Faster? - How Can Improved ETL System Help Organizations Make Accurate Decisions Quicker? – What Are Some Real-World Applications of Improved ETL Systems? - Best Practices for Data Warehouses (Big Data Warehouse Best Practices). A Case Study at Intel Corporation (US. (Intel. – Business Intelligence Challenges Faced By Organizations During Implementation of Data Warehousing Systems & Traditional Software Sputions for BI Function. A Case Study at Intel Corporation (US. (Intel. - Challenges Facing Organizations during Implementation of Data Warehousing Systems & Traditional Software Sputions for BI Functions at Intel over a Period of Time - Impact of Challenges on Organizational Operations - Limitations of Traditional Software Sputions for BI Functions. A Case Study at Intel Corporation (US. (Intel. – Impact of Traditional Software Sputions on Organizational Operations – Inefficiencies Associated With Traditional Software Sputions for BI Functions. A Case Study at Intel Corporation (US. (Intel. – Impact of Inefficiencies on Organizational Operations – Losses Due To Inefficiencies Associated With Traditional Software Sputions for BI Functions. A Case Study at Intel Corporation (US. (Intel. – What Does Improved BI System Offer? - How Can Improved BI System Be Beneficial to Organizations? – What Does Improved BI Spution Mean? - What Are the Benefits of Improved BI Spution? - Will Improved BI Spution Help Intel Reap Benefits? – What Does Improved BI Spution Mean? - What Are the Benefits of an Improved BI Spution? - Will an Improved BI Spution Help Intel Reap Benefits? - Why Is Improving BI Processes

The process to integrate MongoDB and Freshservice 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.