This blog is the second part of the series “Data Migration Simplified.” Learn more about the entire blog series here.
In today’s digital economy, leveraging data is critical for making informed business decisions, and leveraging Cloud is the best way to accomplish that. Did you know that according to Gartner, 95% of new digital workloads will be deployed on cloud-native platforms by 2025 compared to just 30% in 2021? Many businesses face critical challenges during their migration process, with a common realization that they lack the specialized personnel and tools required to migrate the legacy platforms to the Cloud. Migrating humongous amounts of data, applications, and workloads can often be costly, time-consuming, and have a negative impact on business processes if not done correctly.
This has been identified as a common issue in the IT industry. Systems grow so large throughout the years and phases of evolution that they frequently lack proper and detailed documentation, and many old systems continue to exist (consuming resources). Changes in the team over time also result in a loss of system expertise. It is one of the most difficult challenges in transferring these systems to the cloud.
For a successful migration, Datametica recommends assessing the workload with Eagle, our automated assessment and planning tool as a first step to estimate the timeline, budget, migration sequencing, and so on. The actual process begins once this is accomplished and all stakeholders have agreed on the approach. A significant challenge is to complete the process with minimal disruption to day-to-day operations, in the shortest amount of time, and on the smallest possible budget. Having an experienced cloud migration partner with proven tools assures a successful migration.
The code for the legacy warehouse is written in a different language and variants and must be translated to cloud-native tech when moving to the Cloud. Code conversion is the next major step post the assessment. With petabytes of data available with many businesses today, manually rewriting and translating the code for an entire database is nearly impossible! Depending on the complexity, it could take months or even years to migrate the entire added code and data.
Furthermore, the code conversion process is riddled with many tools-based and SQL-based problems, depending on whether it is ETL or ELT conversion.
Challenges with code conversion
SQL-based ELT challenges | Tools-based ETL challenges |
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Manual conversion necessitates a big number of teams/engineers to convert various source systems.
Through our years of experience in helping businesses migrate to the Cloud, we have developed a state-of-the-art automated migration product suite, that enables businesses to realize efficient data warehouse modernization and migration. Datametica’s Raven, the automated code conversion tool, helps businesses eliminate manual errors, and reduces the number of personnel, expenses, and time required for code translation.
How does Raven work?
Raven – Datametica’s automated transpiler tool handles code conversion in an accurate, consistent, and reliable manner. It translates code workloads such as ETL, scripts, and SQL from on-premises systems like Oracle, Netezza, Teradata, and many more to cloud-native technologies such as Google BigQuery, Snowflake, Azure Synapse, Databricks, and AWS Redshift as part of the cloud migration journey.
It swiftly alters and optimizes programs of varying lengths and levels of complexity with higher accuracy to ensure consistent formatting of scripts.
Raven devotes time and resources to the most crucial aspects of migration, providing lower errors in code translation, more accuracy with consistent formatting, reduced migration time due to automated code translation, and better efficiency—features that make it far superior to traditional methods.
Check out how Raven helped a major US retail chain migrate their on-premise Teradata and Hadoop data warehouse to Google Cloud Platform and reduced their query execution time by 60%.
What makes Raven the best transpiler tool in the market
Raven helps you implement an ETL and SQL conversion that is automated, data lineage-aware, and optimized for SQL expression. It supports non-ANSI functions, clauses, constructs, and smart emulations for missing SQL clauses and statements.
SQL Code Conversion: Raven is capable of converting embedded SQL, partial SQL statements, and highly parameterized SQL code as well. Its translation capability works with database features like Load-Store Utility, Bteq, Macros, and Stored Procedures. Additionally, Raven supports DDL definitions for a variety of objects such as macros, stored procedures, view definitions, utility materialized view definitions, and more.
ETL/ELT conversion: Raven translates ETL scripting to ELT scripting based on the intended cloud environment. It also has the ability to transform non-SQL components in ETL operations and enables custom ETL expressions and several polyfills for unsupported features.
Code optimization: With SQL, expression, workflow, and target-aware optimizations, businesses benefit from significant cost and time reductions with Raven. It guarantees consistent and syntactically optimized generated code and scripts, comprehensive data lineage awareness during code conversion, and eliminates repetition between jobs.
Conclusion
The usability of code after migrating is critical to ensure that business operations are not impacted. Every workload element to be migrated should be proven to function in the destination system for the migration project to be called a success. A correct code conversion tool is vital for accurate, stress-free, and quick code translation. Raven ensures that complex SQL scripts and codes are automatically translated and ensures streamlined and accelerated cloud migration with consistent and accurate scripts.
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.
Deepak Badhani
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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.