
Standard Technology Stack for an AWS based Data Lake
A typical Technology Stack for a Data Lake. S3 as the Golden Source. Snowflake as a corporate Data Share with SQL use cases. If AWS-S3 and Redshift are not pro…
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A typical Technology Stack for a Data Lake. S3 as the Golden Source. Snowflake as a corporate Data Share with SQL use cases. If AWS-S3 and Redshift are not pro…
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A data lake is a centralized repository that allows a firm to store structured and unstructured data at any scale. You can store your data as-is, without havin…
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Moving data from S3 to Snowflake to satisfy use cases around analysis, corporate reporting, or cross-domain information collaboration is best achieved through …
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The Data Glossary focuses on business terminology and definitions, bridging the gap between business and IT. A data glossary is a document that defines and des…
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A comparison of AWS Sage Maker and Databricks. Both satisify different use cases. A key aspect is the principle of ‘cloud native’, meaning that if …
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1. Scalability: The Backbone of SaaS Architecture Scalability is at the heart of SaaS development. As the user base grows, a SaaS application must be able to h…
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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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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 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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