DS Migrate: Components and Architecture
DS Migrate: Components and Architecture
An on-premise system incurs high security and operational costs, lacks scalability, and has limited storage. In order to stay ahead of their competitors, enterprises from around the globe have already started moving from legacy systems to more agile and up-to-date cloud servers.
With more and more enterprises becoming data-driven the need to accelerate the process of securely migrating data to the cloud is rising. While the process is being automated, data governance and security are no longer an option.
Manual Workload Migration
While moving to a new platform, every enterprise faces difficulties in manually transforming data warehouse workloads from the legacy stack to the modern stack. Apart from requiring niche experts to identify and transform ETL, EDW, analytical, and reporting scripts, schema, and tools, manual transformation can be time-consuming, error-prone, and tedious.
Some key challenges faced by enterprises include:
- Insufficient knowledge of legacy application and their data design
- Complexity in code and design from different legacy applications
- Lack of automation tools for transforming from legacy data processing to cloud-native data processes.
Regulated segments like banking & financial services that largely depend on IT teams also worry about Data Governance and security. Due to the lack of expertise to oversee data transformation in these sectors, most enterprises depend on their IT teams to scale up. And, to add more fuel to the fire Information transition between the Business and IT team often lead to conflict, delay, and a daunting loss of data.
DataSwitch’s DS Migrate toolkit offers the solution to these typical data platform transformation hazards. DS Migrate accelerates the automatic conversion and re-architecture of legacy databases and ETL code to modern databases and data engineering technologies.
DS Migrate – A Toolkit For Automated Workload Migration
DataSwitch redefines enterprise data architecture to deliver customer-centric digital experiences by accelerating time to translate data for real-world insights and build future Cloud Data Platforms that drive the three key business objectives:
- Scale decision making
- Automate manual processes
- Simplify complex analyses
It simplifies and accelerates the transformation and migration processes with speed, reliability, and no required coding through the DS Migrate toolkit. This data modernization toolkit leverages advanced automation to migrate schema, data, and processes from legacy databases and ETL tools to modern databases and ETL tools.
The Components Of DS Migrate
The DS Migrate data modernization toolkit transforms legacy application or analytics data to cloud-native using modern innovative methods, accelerators, and services. Legacy systems include Teradata, Netezza, MySQL, Oracle, Microsoft SQL Server, IBM DB2, Informatica, SSIS, and IBM DataStage. Destination systems include PySpark, Databricks, Matillion, SnapLogic, AWS Glue, Talend, Snowflake, AWS Redshift, Google Bigquery, Exasol, etc.
DS Migrate automates data transformation by implementing three components:
1. Schema Redesign
Through modern database-as-a-service, DS Migrate provides intuitive, predictive, and self-serviceable automated schema redesign or restructuring from old school data models to new generation data models (including JSON and Graph).
2. Data Migration
DS Migrate offers fully automated and scalable data migration and transformation. The platform’s no code and low code solutions along with enhanced automation, cloud data expertise, and unique automated schema generation accelerates the time-to-market.
3. Process Conversion
The Process Converter allows no-touch code conversion from legacy data scripts and ETL Tools to modern database scripts and ETL tools. This simple web interface tool addresses the challenge of schema redesign, effort-intensive and error-prone manual migration of legacy to modern, through an adoptive Translator + Compiler design. Translations can be from tool to tool, script to tool, tool to script, or script to script.
DS Migrate Overall Architecture
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