Adele

Migrate your existing SQL and ETL jobs to any cloud platform with accuracy and speed.

Perform ETL Jobs in the Cloud

Adele is a user-friendly platform that allows users to easily migrate data pipelines from any legacy to a target platform. The platform provides users with full control over the functional migration process.

Adele’s intelligent mapping capabilities extend to generating valuable insights by reverse engineering data pipelines to create data lineage mappings and extract metadata. The visualization features enhance overall value and enable swift impact analysis via API interfaces.  Leveraging the extracted metadata can serve as a solid foundation for establishing data governance principles. Watch this video to learn more about how Adele migrates data pipelines with ease and accuracy.

Adele helped us to realize how much clutter we have in the current solution. We will benefit from the extracted metadata and save efforts required for keeping metadata up-to-date manually.

Peter Nemedy
Head of Business Intelligence DWH, O2 Slovak Republic

Key Benefits of Using Adele

Incorporating Adele into your data solution migration strategy offers several compelling advantages, with a primary focus on de-risking and accelerating the transition to cloud-based infrastructure. Adele’s robust capabilities play a pivotal role in mitigating potential risks and expediting the overall migration process.

Accelerate your re-design and re-platforming

Adele’s remarkable ability to comprehend and parse up to 80% of your legacy logic significantly expedites the re-design and re-platforming process.

Have control and de-risk your migration to the cloud

Embarking on your data solution implementation in a cloud-based platform has never been easier. Adele’s extensive complexity assessment features allow your organization to execute a precise cloud migration, mitigating the risks associated with traditional migration journeys.

Empower your users with data lineage features

Adele’s data lineage features increase the transparency and understanding of your data solutions. The visual interpretation of data flows provides a clear and intuitive representation, empowering data engineers and data scientists in their daily tasks.

Document your legacy solution and leverage knowledge for the target state

Adele not only accelerates your migration project but also provides reliable documentation. The harvested metadata, combined with data lineage and impact analysis capabilities, provide a comprehensive documentation of your legacy solution, and will support your organization long-term.

Declutter your legacy solution via metadata harvesting

Forget about obsolete data pipelines, obsolete data objects, complicated and non-performing transformation logic. Adele’s advanced optimization features play a pivotal role in decluttering your legacy solution to streamline and simplify your data architecture. This decluttering process not only improves the overall efficiency of your data solution but also ensures that resources are dedicated to relevant and impactful components.

Eliminate coding errors through automation

Manually coding data pipelines, whether on a dedicated platform or by writing code directly, is susceptible to human errors. Adele’s automation capabilities eliminate this risk by generating jobs automatically. Adele is smart, continuously operational, and precise to ensure that the coding process is error-free.
Offer

Save Time and Money by Migrating with Adele

Learn about our 4-week proof of concept for Informatica ETL to Azure Data Factory migration projects.

Learn how Adele:

  • Saves up to 50% in project costs by effectively streamlining your migration process
  • Handles 80% of the migration workload by automating the conversion of Informatica mappings to Azure Data Factory
  • Reduces complexity and expenses associated with re-platforming ETL logic
  • Ensures a smooth, efficient transition to Azure

GET THE DETAILS

DOWNLOAD - Informatica ETL to Azure Data Factory Migration using Adele – 4 weeks POC

Adele’s Powerful Features

Adele provides intuitive, user-friendly features to support you along your data migration journey.

Automated Generation of the Target Data Pipelines

Reimplementing data pipelines in a target platform can be a tedious, labor-intensive task that is prone to human error. Different coding styles may also compromise the transparency of the target solution. Let Adele automate job generation and save valuable efforts and resources. This not only streamlines the process but also frees up time for the essential task of enhancing the value and design of your legacy solution.

Reliable Metadata Harvesting

Whether your legacy solution uses enterprise ETL tools or hard-coded PL/SQL procedures, Adele provides a comprehensive list of connectors to both options. It also ensures reliable and complete extraction of knowledge, enabling a thorough understanding of the logic embedded in your data solution.

SQL-Like Languages Parsing

Regardless of how your solution is built – whether from scratch or by leveraging existing knowledge – Adele simplifies the generation of target data pipelines using simple SQL-based queries.

Comprehensive Migration Reports

Navigate your re-designing and re-platforming journey with confidence by leveraging Adele’s comprehensive migration and metadata harvesting reports.

Data Lineage and Impact Analysis

Adele’s capabilities extend beyond the re-platforming phase, providing ongoing support to business users in their daily tasks. By facilitating a clear understanding of data flows, Adele aids in comprehending how certain KPIs are calculated. Furthermore, both forward-looking and backward-looking data lineage analyses may reveal the potential impact of changes on the data sources, enhancing decision-making and strategic planning.

Variety of Deployment Models

Adele provides a variety of deployment models and strategies to support both on-premises and cloud-based data storage and data pipelines platforms. Adele provides flexible deployment options to suit your specific requirements, ensuring seamless integration with different infrastructures.

Optimization Methods

Uncover and declutter your legacy solution with Adele’s array of optimization methods. Create a streamlined process for identifying and addressing obsolete codes, functionalities, and data pipelines, as well as resolving undocumented workarounds and quick fixes. Declutter your logic by applying Adele’s various optimization methods.

Perform ETL Jobs in the Cloud

Migrate your existing SQL and ETL jobs to any cloud platform with accuracy and speed.

Adele’s Approach to Data Migration Acceleration

Adele revolutionizes the migration from legacy data solutions to modern data cloud warehouses, data lakes and data ponds, offering a comprehensive approach that spans the entire migration lifecycle.

Pre-migration

Adele’s advanced capabilities allow for a comprehensive understanding of the data ecosystem and the complexity of your current solution, enabling the creation of a credible migration plan before the actual journey.

Migration

Once the pre-migration groundwork is complete, Adele leverages automation and transforms the traditionally tedious and time-consuming migration tasks into a streamlined process.

Post-migration

Adele’s commitment to a smooth migration experience extends into the post-migration phase. Adele monitors the success of the migration journey to ensure that the newly migrated solution delivers the same results as its legacy counterpart.

Adele FAQs

The solution focuses on metadata rather than interacting directly with the data. To validate functionality, we run data pipelines with existing datasets, yet this is not a prerequisite for the solution’s redesign and re-platforming.

Adele is primarily used by data engineers, whose job is to develop the data solution in the target technology or to re-design and re-platform existing legacy solutions in the target technology.

Free tiers cannot be used for commercial usage. It is also limited to one user and one environment. Support is not provided with a free tier.

The price is driven by the number of objects, which are in scope of the re-design and re-platforming. The recurrent price for Adele is then driven by the number of end users.

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