https://store-images.s-microsoft.com/image/apps.35074.d5b4c6dd-88ec-4279-a750-9eb310b1fdaf.09fe5236-64c4-49f7-89c4-1bde266bda00.375da6ce-7c80-44c6-a25c-1ccb3d77404f
HCLTech Solution for Building of Modern Data Platform and Migration & Modernization of Data to Modern Data Platform
HCL Technologies Limited.
HCLTech Solution for Building of Modern Data Platform and Migration & Modernization of Data to Modern Data Platform
HCL Technologies Limited.
HCLTech Solution for Building of Modern Data Platform and Migration & Modernization of Data to Modern Data Platform
HCL Technologies Limited.
Build WAF & CAF complied Modern Data Platform, Modernize and Migrate the Data
HCLTech Solution of Data Estate Migration and Modernization (ADvantage Migrate) is a comprehensive one-stop solution for Data platform built, Data Estate Migration and Modernization service, help to modernize and migrate the Databases, ETL/ELT, Datawarehouse, Business Intelligence from legacy technologies/ OnPrem to Azure.
This is a technology agnostic service and consists of HCLTech expert services, proven processes, and HCLTech Data assessment, migration, and validation tools/accelerators. This service help in modernizing Data & Analytics ecosystem to Azure in a faster, cheaper way while meeting all the compliance requirements.
The solution assists in unified analytics and governance, amplified human output, and faster business outcomes by leveraging the following key components:
1. HCLTech Expert Services
2. Three Step Automation with Pre-Engineered HCL Products
(ADvantage Gateway Suite, ADvantage Sketch and ADvantage Gatekeeper)
Timelines:
Timelines will depend upon the scope of work and the complexity of the environment.
Legacy technologies supported for modernization:
This solution is completely technology-agnostic. An illustrative list of technologies is depicted below:
1. Oracle Exadata
2. Teradata
3. IBM Data Stage
4. IBM Netezza
5. IBM DB2
6. Hadoop
7. Informatica
8. IBM Cognos
9. Oracle BI
10. SAP Business Objects
etc
Scope:
The scope of work includes (but is not limited to)
1. Assessment of existing Data Landscape:
a. Lineage dependency analysis
b. Target specific recommendations
c. Capacity planning
2. Transforming the Data
a. Transform DML, DDL, Procedures, ETL, Jobs, Reports
b. Packaging using cloud-native wrappers
c. Ensuring Repeatability and Extendibility
3. Validating the Data
Pipeline-based validation includes:
a. Schema and Metadata
b. Code base
c. Pre and post Data processing
4. Execution
a. Executable package with Cloud Native orchestrators
b. Parallel execution
c. CI/CD and transition support
https://store-images.s-microsoft.com/image/apps.50288.d5b4c6dd-88ec-4279-a750-9eb310b1fdaf.1717c1de-6201-44c0-a1f0-f6af8b2f0818.575a9a5b-5a43-47f2-a75e-f81cb04914da
https://store-images.s-microsoft.com/image/apps.50288.d5b4c6dd-88ec-4279-a750-9eb310b1fdaf.1717c1de-6201-44c0-a1f0-f6af8b2f0818.575a9a5b-5a43-47f2-a75e-f81cb04914da