Businesses today understand the demand and criticality of data analytics. More and more businesses are migrating their legacy data warehouses to the Cloud for reduced cost of ownership, improved speed, and performance, leveraging cloud elasticity, increased data storage, and integrated AI and ML capabilities. But migrating to the cloud is easier said than done – many IT teams still have limited success in migrating to Cloud. Assessing the existing data and applications and building a proper strategy for migration is a critical step of the journey.
The right solution ensures that your cloud migration journey is streamlined, free of hurdles, and adheres to the budget and timelines.
Without a proper assessment of the current data warehouse/data lake, dependencies, and complexity it is always questionable where to start and migration projects are further prone to many challenges:
- Incomplete data lineage or lack of visibility into it
- Inability to differentiate between high-priority and low-priority workloads
- Failure in identifying objects and their priority of migration correctly, resulting in critical issues during the integration and deployment phases
- Complicated, heterogeneous platforms
- Unidentified table associations and job dependencies
- Data redundancy resulting from years of codes
- Incorrect data classification
- Absence of system documentation
Through our years of experience in helping businesses migrate to the Cloud, we have developed a state-of-the-art automation migration product suite, that enables businesses to realize efficient data warehouse modernization and migration. Datametica’s Eagle, the data warehouse assessment tool, assesses legacy systems and surfaces hidden complexities and data lineage before migration, helping businesses to plan and reduce the risk of migration.
See how Eagle helped one of the largest commercial insurers in the US assess the current data warehouse infrastructure to understand the data lineage, data usage, access patterns, and more before migrating to the Google Cloud Platform.
How Eagle helps overcome the challenges
As an automated cloud migration planner, Eagle assesses the workload, logs, scheduler, scripts, ETL, ELT, and all the dependencies in the on-premises data platform Netezza, Teradata, Oracle, and Hadoop to understand the workflows and data dependencies. Moreover, Eagle helps you divide the project into phases and build a viable migration strategy.
Eagle enables you to define workloads into logical move groups to ensure that they are moved in the right order and avoid conflict because of dependencies. This is essential to speed up migration and helps you achieve ROI faster.
What makes Eagle stand out
Eagle provides a holistic view of workloads, a detailed migration strategy, and a clear transition path. Eagle helps reduce risk in migration projects and provides an accurate estimate of project timeline and cost.
Post assessment paths:
As part of the Migration Suite, Eagle is integrated with other products Raven(automated code migration) and Pelican (automated validation), which results in a faster ramp-up to the cloud and risk-free migration.
Eagle automates and speeds up data warehouse assessments and helps businesses understand data patterns, data lineage, and job dependencies. It identifies and prioritizes data migration workloads and recommends cloud data models. Eagle’s assessment of data models, volumetrics, complexity, and workloads helps businesses plan migration resources and accurately estimates cloud consumption and migration costs.
Conclusion
A comprehensive assessment of data warehouses, pipelines, and code can help you design a successful, fact-based migration plan. It is important to remember that Cloud migration involves non-technical considerations as well – from getting team buy-in, changing behaviors, training users on new tools, hiring for new talents, etc. It’s crucial to allow enough time for change management to ensure everyone is on the same page, and that they embrace the new systems thoroughly, and benefit from modernization.
The cloud will help you drive tomorrow’s business. Selecting the right automation technologies for you and having an experienced services partner who knows your needs is crucial to lowering process risks and achieving business objectives.
Datametica is a global leader in data warehouse modernization and migration, and has helped many businesses successfully migrate to the Cloud. Initiate a conversation with us today to learn more about our migration automation tools.
Kalpa Sharma
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About Datametica
A Global Leader in Data Warehouse Modernization & Migration. We empower businesses by migrating their Data/Workload/ETL/Analytics to the Cloud by leveraging Automation.
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