Understanding the Complexity: Exploring Data Migration Challenges

Common Pitfalls and Best Practices: Navigating Data Migration Projects

Strategies for Successful Migrations: Overcoming the Migration Problem

Introduction to BI Migration & Modernization

Large scale BI Migration & Modernization efforts carry inherent risks, take a long time to get to the point of modernization, and create potential business impacts/downtime during the project implementation. On top of that, these BI migrations will have underlying data store dependencies that introduce additional risk and delays in the BI Migration/Modernization use case.

Introduction: The Complexity of Data Migration

Common Pitfalls in Data Migration Projects

Best Practices for Successful Data Migrations

Strategies to Overcome Data Migration Challenges

The Importance of Planning: Preparing for a Successful Migration

Addressing Data Quality Issues: Ensuring Data Integrity Throughout the Migration Process

Leveraging Automation and Tools: Streamlining Data Migration Workflows

Monitoring and Validation: Ensuring Accuracy and Completeness in Data Migration

Challenges of Large Scale BI Migration & Modernization Efforts

However, this is also a prime opportunity for the producers & consumers to take inventory of data assets within and outside the organization:

• Teams can scrutinize where the data is sourced from,
• Clarify who owns the data,
• Define where transformations happen,
• Ask if there is an opportunity for performance gains, Question whether there are data quality & trust issues,
• Examine if there are requirements for more real time or near real time data access.

This is forcing companies to reimagine their existing data architecture and, in an effort to become more data driven, look towards potentially shifting to a data mesh architecture.

Starburst Enterprise Platform – Data Virtualization & Data Products

Starburst can help customers prioritize the BI Migration, Modernization and Optimization activities and give them the optionality of migrating the data in later phases or not at all.  This is somewhat of a game-changer for the CDO who has a limited budget but a ticking clock toward old BI technology becoming a problem.

Starburst removes the complexity of data access by creating a data abstraction semantic layer supported by a Federated SQL Engine eliminating the need for consumers to know or care about the underlying technologies and storage.   This allows for a greater focus on the quality of the data and the decision intelligence insights it can help drive and automate.

This is extremely helpful to BI migration projects as Data Products allow data domain teams to create curated datasets that are enhanced with contextual business metadata (descriptions, tags, ownership, chat, crowd source rating, etc) to assist in downstream data consumption.

Starburst Paradigm

Starburst Enterprise provides a single access layer to organizations’ data, regardless of location, format, or size. Built on Trino (formerly PrestoSQL), Starburst is the fastest SQL-based massively parallel processing (MPP) query engine available and enables a company to run analytics on data wherever it is stored. In its simplest form, organizations can implement efficient federated queries across all their data sources using Starburst. In more complex data environments and larger organizations, data teams have also looked toward the modern approach of a data mesh in order to ensure quality, reliability, and access to data across boundaries of data storage, data type, and domain expertise. Eliminating the need to move or copy data reduces the time it takes to gain insight from months to days and minimizes the costs and risk associated with moving data.

Business Outcomes Summary

• Reduction in Risk
• Reduction in legacy tech debt costs
• Accelerates time to value
• Optionality as to what data moves and when
• Ability to decouple BI and data dependencies

In closing, USEReady MigratorIQ + Starburst are better together!

USEReady has a solution for reducing the risks and costs of legacy BI migration – MigratorIQ. This solution automates and streamlines the migration process with accelerators and follows a proven framework to successfully deliver scalable Legacy to Modern BI Migrations. This has been proven to reduce the time to delivery and increase the accuracy and functionality once migrated to the new BI tool of choice.

MigratorIQ  will perform Legacy BI migrations from tools such as Oracle Hyperion, Qlik, SAP Business Objects and Cognos to target BI modernization platforms such as Tableau,  Power BI, and others. This is accomplished in 3 phases:

• Phase 1:  Source-specific Discovery
• Phase 2: Data Preparation (Metric Store Generation and Data Model Translation)
• Phase 3: Target –specific Converter

Together with Starburst we are able to mitigate risk, accelerate time to insight, and enable the Fastest and Best Cost Performance for Data Lake Analytics Query on the planet.  Ultimately this enables the organization to prioritize the BI migration efforts based on business objectives rather than data migration dependencies!