Halloween: The Mighty Pelican Slays Data Validation Nightmares

With Halloween 2022 eerily crawling closer each day, the ballpark of words that come to our mind are scary costumes, terrifying nightmares, spooky cupcakes, etc. Between all this, we forget that Halloween comes to prepare us for the worst nightmares and encourages us to overcome our fear.

We are too old now to fear ghost stories, haunted houses, and crying owls. Today, we are more afraid of the quality of data, from acquiring data to managing and moving it, every step is filled with fear. Moreover, the data that has moved from the multiple heterogeneous data sources, including an on-premise data warehouse, to the cloud and is un-validated is the worst nightmare any business leader can ever think of.

Let’s have a look at the reasons why you can’t afford to ignore data validation.

Bloodshed Neglecting Data Validation Can Cause

Data Validation is one of the most important processes that marks the conclusion of migration to the cloud platform. Every company relies on high-quality data to make crucial business decisions. The information obtained from the various datasets provides insights into shifting market trends, customer behavior and purchase habits, and forecasting future trends. Data validation is essential for enriching and segmenting data with technographic, demographic, firmographic, and financial information. It assists companies with strategic planning and overcoming the challenges that arise at various phases of the pipeline. Data validation offers multi-fold benefits, neglecting which can hurt your business and make your revenue bleed.

Data validation ensures accuracy, precision, and clarity, which is necessary to eliminate complications from any project. Decisions are risky if your data is not validated using an acceptable method. Structures and content in datasets determine the process and ETL validation technique results. They clean and clear extraneous files from the dataset and provide a proper structure for the best results. Additionally, validating data also aids in speed optimization since the errors are already brought under control and rectified beforehand.

The Spine-Chilling Challenges of Data Validation

One of the major reasons why businesses turn a blind eye to data validation is because of the challenges that the data validation process brings in. Some of the common but spine-chilling data validation challenges are:

Schema Validation

As part of the data migration, it is important to check the schema, such as stored procedures, views, or user preferences. However, manually verifying a schema with thousands of tables is a time-consuming operation.

Cell-by-Cell Comparison

This level of testing ensures complete ETL validation of the data, which helps to avoid time-consuming and costly data quality concerns that are frequently discovered after data migration. This process is time and resource consuming but essential.

Reconciliation Checks

One of the most challenging but crucial aspects of data validation is running reconciliation checks on all columns in the source and destination databases. This ensures that the data has not been corrupted, that the date formats have been preserved, and that the data has been fully loaded. A manual process is not feasible due to the quantity of data being migrated.

NULL Validation

NULL validation is required to guarantee that NULLs are not accidentally put in place of valid data. Also, both NULL and Blanks look similar virtually and are difficult to differentiate, which makes the task more complex.

Ad Hoc Testing

Ad Hoc testing, the final step in the data validation testing process, validates that the target business application and newly migrated data can effectively process the data. Ad hoc testing may thus include performing a business query from a customer or checking vital data or commonly used tables to confirm that the source and destination data match and that the data was successfully migrated.

Security Validation

Security testing determines if all security user roles have been properly migrated to the new cloud database, preventing unauthorized user access to system data.

The Mighty Pelican: An Ultimate Savior This Halloween

All the above-mentioned data validation challenges are easier said than done. These challenges are spine-chilling like ghost stories or horror movies, very complex to handle manually, time-consuming, and expensive. These are some of the core reasons why the data validation process has become a nightmare for businesses. 

Data validation is an important step in concluding the process of data migration. Neglecting this process can result in less impactful decisions related to marketing, sales, finances, etc. This can also hurt your business from various sides and can make it bleed for a very long time. So, what is the solution? How can you get your data validated without facing these blood-curdling challenges? Pelican is the answer to all your data validation or pipeline validation or ETL validation questions. The mighty Pelican just knocks dead all the challenges of data validation.

How Does Pelican Tackle Data Validation Challenges Seamlessly?

Pelican is a state-of-the-art automated data validation and reconciliation technology of Datametica. It performs data validation testing automatically by comparing and reconciling petabyte-scale data at the cell level across the diverse source and destination systems with zero data movement.

Datametica’s Pelican allows you to perform data quality testing and compare any amount of data whenever you want, any number of times. It aids in the derisking of the data migration process by supporting cell-level validation (including table, column, and row-level comparison), providing 100% accuracy, running both new and old systems concurrently, and reducing the unit testing associated with a modernization program. Pelican also ensures the security of data during the validation process.

By replacing the manual testing and validation process with automation, Pelican helps you reduce the cost by 90% and time by 85%. It also allows you to decommission your legacy system confidently.

Wrapping Up

Halloween 2022 is around the corner. Let Datametica’s mighty Pelican handle your data validation nightmare, reduce your validation cost, and you can hop into your Halloween costume, grab some spoofy Halloween cupcakes, and throw a Halloween party.

Happy Halloween!!!