Data Modernization: AWS Data Ingestion and Data Lake Building

Service Overview Leveraging cloud technology to transform traditional data management. Data ingestion and data lake building in AWS are key components of this modernization idea. Data ingestion is the process of importing data from various sources into a data store for processing and analysis, while building data lake involves creating a centralized repository for storing and processing large volumes of data. AWS provides several efficient and cost-effective services for both data ingestion and data lake building, developing clarity, confidence and maturity in data-driven decision-making capabilities with intelligent insight into business information. Services Offered Planning • Define Objectives • Assess Current Data Environment • Choose the Right Services • Develop a Migration Plan • Prepare Data • Migrate Data • Test and Validate • Optimize and Maintain

Implementation • Execute Migration Plan • Deploy AWS Services • Test and Validate • Optimize and Maintain • Train and Educate