AWS Big Data Strategy Overview
Big Data Strategy in AWS Define Business Objectives: Objective: Align Big Data initiatives with business goals. Approach: Understand specific business objectiv…
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Cost Optimisation Techniques in AWS
AWS cost optimisation is not merely a financial exercise; it is a strategic imperative that demands a meticulous approach to extract maximum value from cloud i…
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Curating raw data in S3 to production ready data
Curating raw data stored in one Amazon S3 bucket into curated data in another S3 bucket typically involves a series of data processing and transformation steps…
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AWS Glue vs Databricks
AWS Glue: ETL (Extract, Transform, Load): Purpose: AWS Glue is primarily designed for ETL (Extract, Transform, Load) tasks. It helps in discovering, cataloging…
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AWS SaaS for Banking application
Below is a common high-level architecture for a SaaS retail banking application on AWS (Amazon Web Services): User Interface Layer: Components: Amazon S3 for S…
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GenAI in AWS an example
In my opinion, AWS AI is behind what you will find on Azure and some other cloud platforms. It is an area that AWS needs to address. It does however offer tool…
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AI in AWS – a simple example using cloud native services
There are different varieties of AI. Predictive AI has been deployed for some 7 years, using machine learning models and algorithms to help predict and forecas…
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AWS Data Lake Basics
Data Lake Data Lake can be implemented in AWS using S3, which is a highly scalable, durable, and secure object storage service. Data is stored in S3 as objects…
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AWS Security and some basic things
AWS has a very granular set of Security layers. AWS Security Hub needs to be used when deploying into AWS. NIST, OWASP, CIS, CNCF, OSCAP and other models shoul…
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