EXPLORE NEW POSSIBILITIES
Convert any ETL to any cloud ETL/ELT or programmatic data processing
The ETL landscape is changing rapidly and the old component-based drag-and-drop way of doing extract, transform and load is evolving into a more programmatic coding method and ELT approach.
Whether you need to convert your existing jobs into a cloud-native ETL like Azure Data Factory, Synapse Studio, or AWS Glue Studio for ease of use, or you want the performance and flexibility of PySpark by converting to Azure Databricks, Synapse Notebook, Fabric Notebook and Spark Job Definitions, AWS Glue and EMR. Bitwise can accelerate your migration using our automated and AI-assisted approach.
ETL MODERNIZATION PRACTICE
Hardened team of migration experts backed by automation tools, AI and best practices
Using expert ETL migration resources with a proven track record is a game changer for your initiative to modernize your data and analytics platform. With Bitwise, you get the sharpest knowledge on legacy data warehouse and modern data lake architectures boosted by a confidence that can only be gained by successfully taking migration projects across the finish line.
15 +
Years of ETL conversion experience
50,000 +
Number of ETL Apps converted with automation
30 +
Number of ETL tool combinations migrated
Agile Migration Methodology
From project scoping and estimation to code translation and unit testing all the way through to implementation and production support – we are the right migration partner to take the guesswork out of modernizing your ETL.
Mitigating Migration Risk
Every migration has known challenges and unforeseen pitfalls. Working with an experienced partner is the surest way to avoid risk and deliver a modern ETL solution that increases your data team’s efficiency and stakeholder trust in an AI-driven world.
Human Error
- Automation across entire migration lifecycle (Assessment, conversion, testing & validation)
Business Disruption
- End-to-end migration methodologies with automation at each phase of migration (Assessment, conversion, testing & validation)
Incompatible Ecosystem
- Automated code conversion tool with extensive library of mappings and workarounds
- Knowledge base and best practices for architecting optimal solution
Budget & Timeline Overrun
- Automation at each phase of migration
- Engagements delivered with fixed time and cost
Performance
- Proven methodologies
- Coding best practices for target ETL
- Essential optimization mechanism
Data Validation & Testing
- Testing & Validation automation via multiple utilities and data quality frameworks
Resourcing and Attrition
- Dedicated ETL migration practice with ready pool of migration specialists with legacy ETL and cloud expertise
Are you ready to migrate your legacy ETL to cloud?
Right Migration Partner
By partnering with leading providers like Microsoft, AWS and Informatica, Bitwise ensures our ready pool of ETL Migration Specialists have the right training with access to product teams and latest AI tools to deliver an optimal solution for the most efficient migration possible.
Our performance metrics speak for themselves…
Up to 90%
migration automation
100%
accuracy of migrated code
Over 30%
effort savings on data validation
Average of 40-50%
reduction in migration time
Average of 50-60%
reduction in migration costs
100%
successful migration
Getting Started
As you look towards modernizing to enhance efficiency and scalability of your data operations, we’re here to guide you through a strategic roadmap that ensures a seamless transition. With our step-by-step engagement program, we help you navigate the decision process to prepare an optimal migration plan that sets the stage for a successful outcome.
STEP 1
Timeline & Cost Estimate
High-Level Timeline and Cost Estimate for initial planning
STEP 2
ETL Jobs Demo
Demo on customer’s sample ETL jobs
STEP 3
Assessment Engagement
Assessment Engagement for current state assessment and future state roadmap
STEP 4
POC Engagement
POC Engagement for end-to-end migration on one or more applications
STEP 5
Migration Plan
Migration Plan with optimal solution architecture and precise timeline and cost estimate
CASE STUDY
Informatica and PL/SQL Conversion to Azure Data Factory
KEY RESULTS
70%
Automated conversion, achieving faster time-to-market
60%
Reduction during Assessment Phase and Inventory Clean Up
40%
Increase In Developer Productivity
30%
Reduction In Data Validation Effort
Strategic partner to top CDOs and Data Leaders to drive innovation
They asked Bitwise to migrate, transform and modernize their legacy applications and set a direction for modern data reporting and analytics.