What You Need to Know for a Successful Data Warehouse Cloud Transition
Carpenters tell us to measure twice, cut once because a piece of wood that is cut improperly is ruined. In the same light, you want to review your data migration strategy to ensure that everything is measured and planned twice, so you only need to migrate
In the case of your data, a poorly executed migration can harm core capabilities, remove functionality your teams need, or run up costs and keep ROI negative. Here are some simple thoughts on how to perform best in these three areas.
Cloud data migration is a big step in modernization, and taking things slowly best prepares you for success. Starting with an assessment will prep your team to discover what they need and avoid creating gaps or skipping essential functionality.
A smart assessment reviews your architecture to find database workloads ideal for transformation. Consider individual processes to entire applications, focusing on areas where high costs can be remedied through improved storage and processing. Match your systematic review and selection to business KPIs important for your operations, be they cost, frequency of use, or department impact.
Workload assessments create your initial plan for migrating your data. They also identify process impacts and opportunities, allowing you to look for new tools and capabilities to maximize your cloud benefits.
Meet Needs with Advanced Options Like ETL Tools for Big Data
Extract, transform, and load (ETL) tools have followed the data warehouse and transitioned from on-premise to cloud solutions. Now, ETL can be part of a data migration strategy and keep information usable across systems.
Cloud data migrations no longer need to break analytics or other capabilities when chosen tools operate across cloud systems and storage options. Built-in cloud and integration tools now often include ETL and automation solutions, while many open-source tools are available too.
Your work is to define data generation and usage needs to determine the best-fit tool. A cloud database empowers companies to make better use of real-time data. Maximize your transformation by selecting the right features, such as ETL tools for big data, that help you leverage real-time capabilities.
Map Your Costs
New capabilities and platform changes are exciting when part of a data migration strategy. The cloud offers a variety of options for how we store, process, and use data across all of our systems, with significant promise.
Take time to temper excitement and protect the entire process by detailing the true price of a switch. Legacy migrations will face costs associated with removing infrastructure, hosting, new software, running applications, and change management to get your workforce to adopt what’s new.
Most businesses see a reduction in their costs, but this requires holistic planning. Ask providers about all costs, especially one-time (implementation and integration) as well as ongoing (support) fees.
Balance what you need with what you can afford. A complete map helps ensure your transition to a cloud warehouse is reliable for your long-term growth.
