Trilogix Cloud

Category: AWS Technology

AWS Technology
Data Lake Basics and AWS

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 having to first structure the data, and run

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AWS Technology
AWS, Snowpipe, Snowflake

Moving data from S3 to Snowflake to satisfy use cases around analysis, corporate reporting, or cross-domain information collaboration is best achieved through Snowpipe. Snowpipe is an event-based data ingestion tool that comes together with Snowflake.

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AWS Technology
Data Glossary, Dictionary, Catalogue

  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 describes the data used by an organization. It provides a common

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AWS Technology
AWS Sagemaker vs Databricks

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 on AWS Cloud and this is a core principle, you

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AWS Technology
SaaS design best practices

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 handle increased loads without compromising performance. This requires

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AWS Technology
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 objectives and challenges that can be addressed through Big Data analytics. Define key performance indicators

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AWS Technology
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 investments. In an ecosystem where resources are dynamically provisioned and

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AWS Technology
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, and transforming data from various sources to make it available for analytics.

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