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Popular Tech Company Cut Processing Time and Data Processing Costs by 50% with Delta Lake
Customer Details:
Client Name: Under NDA
Industry: Technology Company
Development Country: Arizona
Solution: Incremental Processing
Used Services: Delta Laka, Data Bricks
The renowned technology company embraces Delta Lake solutions, revolutionizing their data processes, reducing time and cost inefficiencies, and achieving remarkable data flexibility and features.
Overview:
The web hosting industry giant, catering to a vast clientele of 21 million customers worldwide, confronted a significant challenge in efficiently processing its ever-expanding data. With an extensive array of services, including domain names, website hosting, email marketing, and professional solutions, the company accumulated a massive amount of data.
To tackle the data processing bottleneck and optimize data management, the web hosting company joined forces with VirtueTech. This strategic collaboration aims to streamline data processing times while simplifying data storage, space, and maintenance. By leveraging VirtueTech’s expertise, the company seeks to enhance its data infrastructure and continue providing seamless services to its millions of customers globally.
The Challenge of Web Hosting Company:
Here are the challenges that web hosting company was facing:
| Parameters | Challenges |
| Scale of Operations | As the world’s largest domain registrar with 21 million users, the company faces significant challenges in handling vast amounts of financial transactions and data on a daily basis. |
| Time-Consuming Data Updates | Incorporating new data into the dataset and updating it daily results in extensive processing times, causing complete downtime for end-users during the update process. |
| Risk of Data Problems | Processing the complete dataset daily poses a high risk of data loss, incomplete updates, failures, delays, and glitches, impairing the ability of business analysts and end-users to identify and leverage critical business opportunities. |
| Impact on Efficiency and Productivity | The extended downtime during data updates hinders the end-users’ productivity and efficiency, leading to potential business losses and user dissatisfaction. |
| Need for a Scalable Solution | The domain hosting organization must adopt a scalable solution that allows seamless integration of new data without affecting the availability of existing data, ensuring continuous operations and timely insights for business analysts and end-users alike. |
As the world’s largest domain registrar company with 21 million users, the web hosting company was facing challenges in processing its everyday’s data. As a domain hosting organization, the company was incorporating financial transactions and data everyday. The data was then gathered and processed in one dataset which was used by business analysts for project status, resolving any issues and tracking progress.
The mud here was that when new data comes in every day, the complete dataset needs to be updated, which takes a lot of time to process and update. Moreover, during the data update in the dataset, the old data was unavailable for the end user to use. The end-user was facing complete downtime during the update process, which resulted in a loss of efficiency and productivity.
Additionally, processing the complete dataset daily carries a high risk of data problems such as loss, incomplete data updates, failures, delays, and glitches. Such high risk impairs the company’s end users and business analysts’ ability to promptly identify business opportunities and other business developments.
The Agile Solution for Web Hosting Company
Here’s how VirtueTech Inc. provides solutions that help web hosting company with the following advantages and solutions for their challenges.
| Parameters | Solution |
| Delta Lake | VirtueTech Inc. introduces Delta Lake to the web hosting company, enabling flexibility and automation within the dataset, leading to enhanced efficiency without downtime. |
| Flexible and Available Dataset | Delta Lake ensures that existing data remains accessible while updating new data, allowing end-users to utilize the dataset without interruption. |
| Time and Resource Savings | Unlike traditional methods, incremental processing focuses only on new or changed data, reducing processing time by up to 50% and optimizing resource utilization. |
| Mitigating Data Risks | By avoiding daily processing of the entire dataset, incremental processing minimizes the chances of data glitches and loss, resulting in cost savings and improved data integrity. |
| Limitless Storage and Data Analysis | Incremental processing eliminates duplicate data preservation, unlocking storage and maintenance opportunities. It also captures and records daily data changes, enabling detailed analysis of past data and identifying specific changes over time. |
VirtueTech Inc. helped web hosting company with asset properties of Delta Lake that provide Flexibility and automaticity across the dataset. This approach of Delta Lake drives Flexibility, availability, and automaticity within the dataset, allowing the end users to enhance their efficiency without any downtime.
Moreover, Delta Lake makes life easier for business analysts as it brings more Flexibility to the dataset by updating data without hindering the old existing data. That means Delta Lake only processes and updates the new data that comes into the dataset daily, and the rest of the data stays as it is, which is available for the end user even during the update.
Traditionally, data processing involves processing the entire dataset, which can take hours and require a lot of resources. However, with incremental processing, only the new or changed data is processed, which can be done in a few minutes. This can save up to 50% of the processing time and make the data available for use much faster.
Moreover, incremental processing reduces the risk of data glitches and loss as organizations do not need to process entire datasets daily. Such advantages reduce the overall data processing cost by 50% and expenses that occurred during data failures and glitches.
Additionally, there are a few more advantages of incremental processing at web hosting company. The process unlocked limitless storage, space, and maintenance opportunities by reducing duplicate data preservation.
Moreover, it also captures and snaps everyday data changes in the dataset that help GoDaddy analyze past data. The capture of transactions aids organizations in going back in time to see how the data looked a few days ago and helps them mark and identify the changes that came and what data exactly looked like.
The Consequences of Solutions Developed From Delta Lake.
The web hosting company implemented the Delta Lake solution in January 2023 in only a few of their datasets, which delivered a 50% cost reduction in data processing and a 50% time reduction. They have more than 100 datasets in which Virtue Tech Inc. will implement Delta Lake capabilities, resulting in significant cost and time reductions for the technology company in the future.
Overall Benefits of Delta Lake:
- Cost reduction on data processing operations by up to 50%.
- Reduction in data processing time of up to 50%.
- Unlock limitless opportunities for storage, space, and maintenance.
- Increase business analyst efficiency.
- Improved data availability capacity by up to 10 times.
Migration to AWS and Amazon Redshift from On-prem After New Acquisition
Subhead: Migrating to Redshift leapfrogged primitive data warehouse infrastructure constraints
Problem: GoDaddy acquired Registry from Neustar in 2020. Prior to the acquisition GoDaddy had an initiative to move their infrastructure to the AWS cloud. Virtue Tech was brought in during the project to migrate the Registry on-prem infrastructure to AWS. There had been several false starts and GoDaddy needed experienced data architects to ensure they would meet the stringent SLA requirement dates to complete the migration to AWS. The Virtue Tech team developed an architecture and worked with the GoDaddy management team to validate the proof the concepts. The project was divided into three phases and then delivered making sure that the final TSA deadline was met.
Registry had a lot of compliance reports from partners and registrar’s looking for information. The data is from all over the world. China, Taiwan, Australia, Europe and of course from the U.S. The raw data comes from the various source pipelines, however Neustar had a very primitive infrastructure that had been built a long time ago, and it was not in the cloud. A few people manually maintained the infrastructure. The processes, upgrades and any issues that came up were all managed reactively and manually. There were no notifications for errors or performance related issues on various jobs that run in the background to generate these reports and get the data updated.
- There were several false starts prior to the Virtue Tech team being brought to the project. This meant they had only a few months to design a data architecture and complete the migration to stay in compliance with the SLA migration completion date.
- Report data was coming from multiple countries and clients and needed to be generated per contractual agreements with customers after the migration.
Solution:
The data architecture that Virtue Tech developed for the project is depicted in the diagram below. On the left you see the data sources. Some of the source data comes from a group called Narwhal, based in Melbourne, Australia. They are also now part of . The data is kept secure with encryption/decryption logic. The solution includes encryption technology with GPG keys that are maintained and set to expire after a certain predetermined time following security best practices. The raw data is in 50 to 60 tables. The data moves through the process using the reference tables, then it’s transformed into the intermediate tables and we may add a final set of tables too. Overall, there are between 150-250 tables in use every day.
The data scheduler is Managed Workflow for Apache Airflow (MWAA). Scheduler helps track back each task within a daily, weekly, or monthly load. AWS also provides a service to check and display the timing on a dashboard that management can view to see how things are working. The Docker maintains container logic which can be updated every couple of months. For example, you can check for any errors and team performance. Data can be made available for visualization in Tableau or other visualization tools.
Keys to success: Due to the experience and skills of the Virtue Tech team, they were able to quickly design and prove out the architecture. The team devised a three-phased approach to the project that enabled them to successfully complete the project within the final deadline.
Results:
- The GoDaddy team was able to meet the overall SLA deadline for migrating to AWS cloud.
- Saved over $125,000 per year on labor cost of maintaining on-premise infrastructure.
- Cut the processing time for reports by 2/3rds.
- Enhanced security and flexibility with AWS cloud.
- Added alert capability with Slack and email integration that didn’t exist prior to the migration.
- No capital costs for migration.
Outcome and moving forward: The GoDaddy team was able to meet the overall SLA deadline for migrating to the AWS cloud. At a minimum, the project has saved over $125,000 per year on labor cost of maintaining the on-premise infrastructure. The performance improvements were compelling too. Reports that were taking seven hours to run are now running in under two hours. This means that the processing time for reports was cut by more than 2/3rds. GoDaddy is also benefitting from the enhanced security and flexibility they get with the AWS cloud. The data architecture designed by Virtue Tech added alert capabilities that didn’t exist prior to the migration. Errors and performance metrics are being instantly communicated due to integrations with Slack and email. Plus, there were no capital costs for migrating to AWS. Due to the success of the project, there is currently interest and plans within GoDaddy to add more data sources from Teradata, MMX, IN and others. Then there will be even more internal and external customers who want to get reports and insights from this Framework.
