Introducing-MigratIO-The-Futureof-Data-Migration

Introducing-MigratIO-The-Futureof-Data-Migration.webp

Introducing MigratIO: The Future of Data Migration

Introducing MigratIO: The Future of Data Migration.webp

blogs-author-terraai-logo.webp

**Migrations are hard.** They’re complex, time-consuming, and can cause immense brand damage if done poorly. So how do you ensure consistent and reliable data migrations? That’s where **MigratIO** comes in, turning potential risks into opportunities for growth. With our advanced tools and AI-driven features, we simplify even the most challenging migrations, giving you the confidence that your data will move smoothly and securely every time.🌟

🔹 **Seamless Migration**: MigratIO isn’t just about moving data; it’s about transforming how you approach migration. With our intuitive no-code platform, anyone can set up data pipelines, monitor progress, and ensure that migrations are smooth, secure, and repeatable. No more complex coding or manual intervention!

🔹 **AI-Driven Precision:** Powered by Artificial Intelligence and Machine Learning, MigratIO enables intelligent data mapping and predictive data transformation. Say goodbye to manual errors and hello to real-time insights and faster execution.

🔹 **Real-Time Monitoring & Auditing**: With real-time dashboards, you can track every aspect of the migration, identify errors instantly, and take corrective actions on the fly. Plus, our comprehensive audit trails ensure compliance, giving you complete peace of mind.

🔹 **Security & Scalability**: We know how crucial security is when handling sensitive data. MigratIO is built on a scalable architecture that maintains data integrity and adheres to the highest security standards, adhering to ACID principles for accuracy and consistency.

🔹 **Attribute-Level Reconciliation**: MigratIO goes beyond just migrating data—it ensures attribute-level reconciliation, comparing individual attributes across systems to ensure perfect data accuracy. By validating and reconciling data down to the attribute level, we ensure that every single field is correctly mapped, making your migration foolproof.

🔹**Reusable Templates & Rapid Testing**: Reduce downtime and streamline future migrations with reusable migration templates and rapid test cycles. MigratIO empowers you to test data quality early and often, ensuring that each migration is not just faster but better.

💼 **Why Choose MigratIO?**

- **No-Code Simplicity**: Accessible for everyone—business users and tech teams alike.
- **AI-Powered Efficiency**: Leverage automation for faster, more accurate migrations.
- **End-to-End Visibility**: Real-time insights at your fingertips.
- **Scalable & Secure**: Designed to handle even the most complex data environments.
- **Attribute-Level Reconciliation**: Ensure complete accuracy down to the individual data attribute.

Transform your data migration process with MigratIO and future-proof your business operations! 🌐 Learn more today at [Terra AI](https://terraai.io/) and see how we can help you migrate with confidence!

Migrations are hard. They’re complex, time-consuming, and can cause immense brand damage if done poorly. So how do you ensure consistent and reliable data migrations? That’s where MigratIO comes in, turning potential risks into opportunities for growth. With our advanced tools and AI-driven features, we simplify even the most challenging migrations, giving you the confidence that your data will move smoothly and securely every time.

blogs-details-banner-mobile-migrateio.webp

blogs-details-banner-web-migrateio.webp

final-migratio-linkedin-video.mp4

blog-card-image-migrateio.webp

When it comes to complex data  #migrations, managing time and resources is a significant challenge. To address this, we developed  #MigratIO, a scalable solution designed to simplify the migration process.

To overcome this we chose Apache #Spark as it's in-memory processing capabilities significantly accelerate data processing and reduce the latency that MigrateIO aims to achieve. Additionally, Spark's scalability and speed made it the ideal choice to handle the increasing data loads while maintaining high performance.

Our transition from DuckDB to Apache Spark has been a journey of growth and learning to the product and team but this switch wasn't without its challenges. Unlike DuckDB, integrating Spark allowed us to capitalise on our existing expertise in advanced technologies like Kubernetes and Argo, enhancing our ability to deploy Spark within the Spark Operator seamlessly and efficiently.

Another challenge was making sure our developers fully understood how Spark’s parallel distributed processing works and avoid mistakes. For example, if data isn't partitioned correctly or if intermediate results aren't cached, Spark jobs can unintentionally revert to a single-node operation, which defeats our goal of saving time and resources.

Despite that, by leveraging Spark, MigrateIO has greatly reduced processing times. For instance, we were able to transform 6 million transactions into the required format for our load systems, cutting the processing time from around 5 hours with DuckDB to just 30 minutes with Spark. By integrating Spark, MigrateIO’s capability was further enhanced to manage extensive migrations effectively, ensuring that businesses can smoothly transition their data using the product, regardless of size.

Furthermore, MigrateIO utilised the power of Argo for event-driven job submission and made the ETL processes asynchronous, which greatly improved the products efficiency. Even though now we offer the power of Spark distributed processing, we’ve given users the option to choose between DuckDB and Spark based on their data size and the costs involved.

One important thing to note is that MigrateIO as a product supports loading data to various targets, including SQL and NoSQL databases, #Kafka streams, S3 locations and APIs. This flexibility has not only improved our product’s capabilities but also helped our developers expand their skills.

When it comes to complex data  #migrations, managing time and resources is a significant challenge. To address this, we developed  #MigratIO, a scalable solution designed to simplify the migration process.

From DuckDB to Apache Spark: Enhancing MigrateIO for Scalable and Efficient Data Migrations

blogs-details-banner-mobile-fca.webp

blogs-details-banner-web-fca.webp

blog-card-image-ai-transforming.webp

In an era where the proliferation of digital technology is continuing to ramp up considerably, ensuring risk is sufficiently managed in this new sphere is vital. How has the onset of AI transformed this battle?

How is AI Transforming Risk Management?

blogs-author-qkvin-logo.webp

blog-card-image-fca.webp

On 23rd July 2024, the FCA fined Coinbase Payments Limited (CBPL) £3.5 million due to concerns over their business conduct, highlighting a lack of due skill, care, and diligence in ensuring compliance with CBPL’s VREQ to mitigate the financial crime risks posed by high-risk customers.

#### **Here are our learnings from our deep dive into the FCA notice.**

##### **Overall Impact**

1. Over 3 years CBPL breached VREQ requirements by onboarding and providing payment or e-money    services to 13K high-risk customers, prohibited deposits, totalling $24.9m.
2. Customers used funds to withdraw and execute multiple cryptoasset transactions via Coinbase Group entities, totalling ~$226m.
3. CBPL submitted SARs for 62 customers, transactions worth ~$1.75m (several exceeding $50K).

##### **Key Learnings**

✅ **Establish a comprehensive compliance framework with clearly defined roles and responsibilities**

An internal review identified documented VREQ compliance framework was not formalised and no formal document laid the roles of teams specifically for VREQs.

✅ **Ensure rigorous SDLC process, collaboration and accurate translation of regulatory requirements**

There were gaps in the initial implementation of CBPL’s VREQ potentially due to the use of different versions of the finalised FCA requirements. Ensuring end-to-end traceability of requirements and open communication across domains and teams is paramount to ensuring compliance.

✅ **Implement rigorous testing and monitoring**

There was a consistent lack of evidence surrounding the testing of the implementations and monitoring of the built system until a few years post-implementation.

✅ **Carefully manage, review and monitor migrations**

1,034 high-risk customers were migrated from another Coinbase Group entity. The required assessment was not conducted to determine whether the VREQ Flag should be applied to these accounts, resulting in the flag not applied correctly.

✅ **Ensure thorough audit trails & records**

CPBL was required to keep records relating to compliance with VREQ prior and post-implementation and sufficient evidence wasn’t available to support. Traceability of requirements through the entire process, audit trails and record keeping are crucial to a compliance solution.

✅ **Configurable policies that enable Human in the loop**

CBPL had no way to restrict the automated onboarding of high-risk retail customers requiring bespoke system changes. It is important to build systems that enable configurable policies to require conditional human-centred reviews.

Stay ahead of compliance challenges by integrating robust KYC and AML solutions that keep your organisation secure and compliant.


On 23rd July 2024, the FCA fined Coinbase Payments Limited (CBPL) £3.5 million due to concerns over their business conduct, highlighting a lack of due skill, care, and diligence in ensuring compliance with CBPL’s VREQ to mitigate the financial crime risks posed by high-risk customers.

Compliance Insights from FCA's £3.5M Penalty on Coinbase Payments

blogs-details-banner-web-migration.webp

terraai-interview-NM-and-HB-v3.mp4

blog-card-image-migration.webp

Excited to share this insightful discussion with our Data Engineering Lead Nikhil Manjunatha, where we dive into the key features and benefits of our data migration solution, #MigratIO.

🎓 Watch to learn how our innovative approach simplifies complex data transitions and drives business efficiency. 

📈 Stay ahead of the curve with a product that’s designed to make data migration and reconciliation seamless and scalable.

Excited to share this insightful discussion with our Data Engineering Lead Nikhil Manjunatha, where we dive into the key features and benefits of our data migration solution, #MigratIO.

Enabling Consistent and Reliable Data Migrations

More Blogs

Introducing MigratIO: The Future of Data Migration

From DuckDB to Apache Spark: Enhancing MigrateIO for Scalable and Efficient Data Migrations

How is AI Transforming Risk Management?