By: Jeremy Kadlec | Updated: 2019-04-10 | Comments (2) | Related: More > Application Development
Our organization receives and transmits data on a daily basis for business-critical processes to numerous partners, vendors, customers, suppliers and more. Our data needs to be validated and cleansed prior to loading the data to our SQL Server environments. We have made significant investments with our SQL Server DBAs and Developers to automate the processes as much as possible. Unfortunately, we are constantly shooting at a moving target i.e. file formats differ between each system, we often get unexpected file formats (data is added, removed or re-ordered), new data is being requested between the organizations and more unpredictable circumstances. On top of this, we need to ensure all of the data is properly vetted by the Data Stewards intimately knowledgeable on the data.
The constant data management moving target tends to overwhelm the SQL Server DBAs and Developers with the need for immediate response of updating the validation and import code to then load the data to meet the business requirements between the organizations. How can we have the best of both worlds? Have our SQL Server DBAs and Developers build a system to support the organization, while providing our Data Stewards the flexibility to validate and cleanse the data prior to the production load without having the deep programming knowledge of our technical team.
With SQL Server Data Platform, most DBAs and Developers turn to either SQL Server Integration Services (SSIS), Azure Data Factory (ADF), BIML, XML, JSON or T-SQL code. With standardized files, formats and data, these technologies are able to automate tedious processes. The SQL Server technologists are able to shine and show their value in terms of time savings for the entire organization.
Unfortunately, many processes are difficult to automate due daily changes between systems perhaps due to constantly changing marketing programs, systems updates, short term programs, shifting product lines, fulfillment via numerous vendors and more. From a technology perspective, this can be considered an SSIS Nightmare with hundreds of unwieldy packages, version control debacle and countless hours trying to automate processes that are rapidly evolving. These situations quickly become frustrating for the SQL Server technologists and can benefit from the collaboration with Application Owners, Data Stewards and Power Users, who can decipher the data and interface with the other organizations to work through the process.
So how do we avoid the SSIS Nightmare? Let the technologists automate standardized processes and give the Data Stewards a solution to cleanse, validate and import data without becoming programmers? One solution, that I would like to introduce is Unison from Melissa, a solution built for Data Stewards enabling them to validate, cleanse, import and export data via an intuitive project-oriented framework. Unison delivers:
- Intuitive three step process to perform data cleansing
- Simple point and click interface to profile, cleanse, standardize, enrich, match, merge and validate data
- Highly refined data quality algorithms to ensure your data is accurate with monthly meta data updates
- Address verification for 240 countries, Name Parsing and more
- Import and export data from major databases (SQL Server, Oracle and MySQL), Excel and flat files
- Intuitive web-based interface without programming expertise
- Collaboration among business users to ensure critical business processes are met
- Project oriented paradigm for re-use, modification and recurring scheduling
- Fast data processing - 50 million address records per hour
- Architecture designed for on-premises deployments of container technology to meet internal security and performance requirements
Let’s dive in to see Unison in action.
Getting Started with Unison Data Quality for Data Stewards
To get started with cleansing and validating your data with Unison, login to the dashboard to have access to Projects, Jobs and administrative interfaces such as logs, user administration, meta data updates and more. Start a new project by clicking on the Projects link in the left navigation and select the New option. This begins the process by naming the project then specifying whether the project will be public or private.
Once the project is named, three core steps are followed to complete the project:
- Define the Input Source as either a text file or database connection
- Configure the data validation Tasks
- Specify Output Source to either a text file or database connection
Both the Input and Output Sources can be a flat file or database connection to SQL Server, Oracle or MySQL. Below is the interface to create a database connection in your project.
In this project, we will drag and drop a text file from Windows Explorer into Unison and Unison will read the file header as well as preview the first three records as shown below. Unison includes intelligent file detection, but if needed the text file properties can be configured in terms of the delimiter, field enclosure such as double quotes or if the file is a fixed width.
Once configured, the Project looks like this:
Unison Data Validation Tasks
The true value of Unison is apparent with the data validation tasks. There are currently four available tasks including Name Parsing, Phone, Email and Address Cleansing which includes 240 countries. Coming soon will be Matching, Data Profiler and Data Cleansing that are currently supported in complimentary Melissa solutions. For Unison, simply click on any task to include it in the project. Let’s start with Address Cleansing for our project.
Address Cleansing with Unison
For Address Cleansing, the Task will match the input files to common address fields in Unison. The process starts with identifying the Input Fields then the Output Fields which will be ultimately used in the final step of the process. The Output Fields are the validated Melissa results to ensure the final data is accurate. Once we review and save the configuration, we will return to the main project design window.
Name Parsing with Unison
Our next step is to perform Naming Parsing with Unison that follows a similar paradigm as the Address Task. This includes input and output fields with validation as well as separation of each name segment.
When we return back to the project, the current status with the Input and Tasks are completed. Our final configuration step is to define the output.
Just like with the Unison Inputs, the Outputs can be both to a File or Table in SQL Server, Oracle or MySQL. With the Write to File option shown below, the name, extension, enclosure and delimited are included. Further, the file can be compressed as a Zip or GZip file once built. Another unique feature is the ability to filter the file output based on Full address matches, full phone number matches, etc.
As a final step prior to outputting the data, Unison provides the ability to review the Output Fields, turn columns on / off with the slider and rearrange the column order. The legend on the right specifies the color coding associated with the Output Fields.
Final Project Review
Now that the project is configured, there are three options on the top right of the interface including:
- Run Now
- Preview Output
From the Preview Output option, you can review all columns and the first set of rows to ensure the data is going to be delivered in the needed format. If not, you can update the project to your requirements.
Run Now in Unison
If the data is correct based on the Preview Output, then Run the job, review the status and download the final output file the next steps in your business processes. Whether that means copying the file to a directory for the data to be loaded by an automated process built by SQL Server Professionals, encrypting the file then sharing with team members or partners, etc.
If you click on the View Reports button, you are able to see the results from both the Name and Address Parsing in either a graphical or tabular format for the types of changes made as well as errors recorded.
The final option for the project is to schedule the job to run either daily, weekly, monthly or a customized time frame. Below is the intuitive interface to schedule a job daily.
Unison also allows the opportunity to update and review the Jobs to meet daily management and monitoring needs.
How do I get started with Unison?
- Think about the numerous hours and relive the frustration of meeting critical deadlines that your business and technology groups face when trying to cleanse, validate and load data among various systems.
- If you are experiencing SSIS Nightmares with constantly changing requirements, code and too many SSIS Packages to count, then consider Unison as a technology that you can integrate into your processes. This enables your Power Users to validate the data and your SQL Server Professionals to manage the data in production environments.
- Get a personal demo of Unison from a member of the Melissa team and then put Unison through its paces in your environment with your data. See how easy it is to validate your data and streamline tedious business processes that have not included data validation.
- Communicate how Unison can help your organization:
- Time savings for data validation and cleansing
- Put the power of data quality in the hands of your data stewards
- No programming experience necessary, only knowledge of the data
- Reduce the burden of your SQL Server Professionals to focus on production data
- Introduce data quality to new processes to improve the value of your data
- After working with Unison, measure the tangible and intangible benefits and determine your next steps to radically streamline business processes and put the power of data quality in the hands of your power users.
- Learn about all the Unison has to offer.
- Get a personal demo of Unison.
- Download Unison.
- Check out the Melissa Wiki on Unison.
- Check out this Unison video.
Last Updated: 2019-04-10
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