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Exhausted by ETL workflows holding back your business? Innowise handles complex migrations from fragile, legacy ETL systems to modern, faster solutions that power smarter decisions and keep up with your business.
Exhausted by ETL workflows holding back your business? Innowise handles complex migrations from fragile, legacy ETL systems to modern, faster solutions that power smarter decisions and keep up with your business.
Legacy ETL pipelines buckle under growing data loads. We rebuild them for scale, so they stay fast, stable, and budget-friendly even as your business expands.
When it’s time to modernize your systems, we migrate your ETL logic without interrupting business operations, and your teams get better, connected tools faster.
Our team helps you ditch on-premise ETL tools for cloud-native solutions that scale smarter, cost less to maintain and integrate cleanly with your data lakes.
If you need to strengthen compliance or meet new rules, we adapt your ETL logic to keep sensitive data traceable, auditable, and aligned with applicable requirements.
Innowise replaces underperforming ETL logic with optimized pipelines that cut runtime, reduce compute costs, and free up your team’s time for more value-adding tasks.
We start by analyzing your entire ETL ecosystem, encompassing transformations, tasks, dependencies, and runtime behavior, to uncover weak points and blockers. You’ll get a clear, migration-ready blueprint with no unexpected surprises.
Our engineers build new workflows from scratch or re-architect existing ones using modular design, batch control, and real-time triggers. We design everything for reusability, clarity, and easy maintenance post-migration.
Innowise scopes each migration phase in detail, from source inventory and data cutover to testing checkpoints and rollback procedures. You’ll get a practical, risk-mitigated plan that can be easily followed with zero guesswork.
To extract structured, semi-structured, and unstructured data from legacy sources, Innowise develops custom connectors and scripts. We handle outdated formats, missing metadata, and inconsistent encodings with special care.
Our team rewrites old transformation logic using modern tools and scalable
dataarkitektur,
removing deadweight and improving performance. For better traceability, Innowise documents everything to the letter.
Innowise creates detailed mapping specifications that track every field, type, and relationship from source to destination. Business rules, format conversions, and exception handling are embedded directly into the mapping layer.
We identify long-running processes, high-memory usage, and bottlenecks, and then restructure ETL flows for faster execution required for advanced analytics and
Big data. That includes load balancing and parallelization for peak performance.
Innowise integrates monitoring with real-time logs, metrics, and automated alerts. We continuously review usage patterns and refine workflows to eliminate failures and optimize processing logic.
To ensure quality, we run full quality assessments across datasets and ETL steps to catch duplicates, mismatches, and logic errors. Then, Innowise implements automated validations, cleansing routines, and correction workflows.
After ETL migration, we stay involved to fix logic edge cases, optimize schedules, and validate performance under real workloads. We also share documentation and guides for your internal teams, so they can perform maintenance tasks.
We consolidate data into a unified management framework, making it easier to monitor, modify, and govern your entire data flow from one place.
With solid validation rules, transformation checks, and automated corrections that reduce the risk of errors, you can trust the numbers behind your business decisions.
Innowise designs ETL workflows that scale with your data. We can adapt them to changes in your business, adding new sources, handling spikes, and tackling issues.
No more juggling brittle integration scripts. We build connectors and workflows that sync data effortlessly across CRMs, ERPs, and other business-critical apps.
Our ETL migration services help you ditch legacy workarounds, bloated pipelines, and compute-heavy processes. You get real value without draining the budget.
You can move from batch reports to live dashboards. Our team blends real-time streams with legacy data into a coherent pipeline, so you can have access to the right data.
Most of the pain in data operations comes from years of patchwork ETL logic no one fully understands. Migration is your chance to clean that up and build something that finally makes sense. Done right, it cuts costs, improves accuracy, and gives you full control over your data workflows. It’s not happening by magic, it’s just years of experience and planning.
Relying on 18+ years of experience, Innowise builds reliable migration strategies that hold up under real business conditions.
Our ETL migration consultants kick things off by gathering requirements and analyzing your current ETL setup, checking what works and what doesn’t.
Once we’ve mapped out the goals and needs, we build a detailed ETL migration plan with clear phases, fallback options, and realistic delivery timelines.
Innowise’s team pulls your data from every relevant source and cleans it up, removing duplicates and fixing broken records.
Here we rewrite outdated logic and apply new business rules to make your data usable, accurate, and fast.
Our ETL migration experts load the data using workflows designed for consistency, traceability, and zero loss along the way.
Innowise’s team thoroughly validates the ETL migration to make sure the output matches expectations before anything goes to production.
Once testing is complete, we switch your operations to the new system, coordinating handover so your teams don’t miss a beat.
After go-live, Innowise sticks around to maintain the integration, resolve issues, optimize workflows, and help train your team.
“We were highly satisfied with the outcome of the project and the deliverables that Innowise delivered. They were highly responsive and timely in their communication, which allowed for smooth and efficient collaboration.”
“Over the years, Innowise has consistently proven to be a long-term, reliable partner. The consistency and quality of the services provided have significantly contributed to the success of our joint initiatives.”
“We are more than satisfied with our fruitful cooperation with Innowise, as they perform tasks in accordance with our high requirements and corporate standards and bring the desired results.”
You can cut data processing costs by up to 85% while keeping the same functionality and gaining better performance. We’ve done it for clients who were stuck paying for legacy platforms that burned money. With modern pipelines, you avoid overpaying for compute, maintenance, and workarounds.
Modern ETL systems make compliance with regulations like GDPR and CCPA way easier to enforce. We embed audit trails, data lineage, and access control into the pipeline logic, so every sensitive record is tracked, processed, and stored correctly.
Sticking with outdated ETL systems leaves you open to breakdowns, bad data, and costly maintenance cycles. To help mitigate the risks, we recommend planning ahead, assessing the potential issues upfront, and building a phased migration strategy with fallback options.
With Innowise, security is baked into every step of our process. We isolate environments, encrypt data at rest and in transit, limit access with strict role-based controls, and log every operation. Innowise is also an ISO 27001-certified ETL migration company, which means we follow international best practices for data handling. Your sensitive records never get exposed.
Absolutely. We’ve migrated pipelines across cloud-native, hybrid, and fully on-premise setups. As a part of ETL migration engineering services, Innowise designs your flows to work across both worlds without compatibility headaches.
We build in data validation checks at every step (e.g., extraction, transformation, and loading), so issues don’t pile up downstream. If something doesn’t match, Innowise’s team flags it, fixes it, or routes it for review depending on your rules. And before anything goes live, we test sample outputs against the source to make sure everything’s correct.
