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    Data Modernization: AWS Data Ingestion and Data Lake Building

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    Data Modernization: Modernize data architecture and make better use of data assets. adopting modern data platforms, and implementing advanced data analytics techniques.

    Overview

    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

    Highlights

    • • Scalability - quick expansion with growing demand • Cost - Pay as you go pricing models, price consultation • Flexibility - variety of datasources, unstructured, complex data types • Security - data encryption, access control, and compliance certifications • Analytics - advanced analytics capabilities, modern visualization reports • Integration - seamless integration with third party applications and tech stack AWS Advanced Tier Differentiator badges of EMR, Redshift and Cloud Formation.

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    Delivery method

    Deployed on AWS

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