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Sep 20 2024

Data Lake Strategy: Its Benefits, Challenges, and Implementation

In today’s hyper-competitive business environment, data is one of the most valuable assets an organization can have. However, the sheer volume, variety, and velocity of data can overwhelm traditional data management solutions. Enter the data lake – a centralized repository designed to store all types of data, whether structured, semi-structured, or unstructured. Unlike traditional data warehouses, data […]

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Mind the Gap: Start Modernizing Analytics by Reorienting Your Enterprise Analytics Team

… and your data warehouse / data lake / data lakehouse. A few months ago, I talked about how nearly all of our analytics architectures are stuck in the 1990s. Maybe an executive at your company read that article, and now you have a mandate to “modernize analytics.” Let’s say that they even understand that just […]

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Mind the Gap: Analytics Architecture Stuck in the 1990s

Welcome to the latest edition of Mind the Gap, a monthly column exploring practical approaches for improving data understanding and data utilization (and whatever else seems interesting enough to share). Last month, we explored the data chasm. This month, we’ll look at analytics architecture. From day one, data warehouses and their offspring – data marts, operational […]

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Data Mart vs. Data Lake: Understanding the Difference

In the ever-evolving landscape of data management, two key concepts have emerged as essential components for organizations seeking to harness the power of their data: data marts and data lakes. While both serve as repositories for storing and accessing data, they differ significantly in their structure, purpose, and approach to data management. Understanding the distinctions […]

Integrating AWS Data Lake and RDS MS SQL: A Guide to Writing and Retrieving Data Securely

Writing data to an AWS data lake and retrieving it to populate an AWS RDS MS SQL database involves several AWS services and a sequence of steps for data transfer and transformation. This process leverages AWS S3 for the data lake storage, AWS Glue for ETL operations, and AWS Lambda for orchestration. Here’s a detailed […]

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