Data Architect services

Design and implementation of modern data architect, starts with preliminary study on the enterprise data strategic plan, set of principles that are made from specific strategies, legacy data frameworks, data modernization plan, future prediction.
Review and analyze the data infrastructure of an organization, operational data, data catalog and meta data, OLTP, OLAP, master data management, storage and information retrieval, pipelines, data ware- house, intelligent data marts, cloud’s and multi cloud’s data management, architect and engineering, AI, and ML, IOT, computing storage, security, compliances, to illustrate enterprise big picture of current data architect.
New architects comprise centralized architecture (data fabric), de-centralized architecture (data mesh), Data virtualization architecture, multi clouds and clouds architecture, streaming and analytic approach data architecture, master data management architecture, data pipelines architecture, data warehouse and intelligent data marts and data lake architecture, data analytics and BI architecture, AI and MI data sets and data flow architects, and finally big data architecture.
The solution architect traces and document entry points of different type of data (structured, semi structured unstructured, raw, IOT) to the enterprise, how to be queued, scheduled, and transferred (includes required stages like ingestion) to different target sources (data lake, data warehouse, hybrid data marts, master data, operational data, all kinds of databases, data pipelines, knowledge base, data catalog and meta data, data sets repositories, AI, BI, ML, reports).
Data solution architect Includes guides for data engineer, data scientist, data analyst and analytics, data stewards, data administration, data warehouse administrator, BI staff), It also has R&D section for tools.