Data Lakes as Data Warehouses – Azure and AWS Cloud Guide

3 Minutes

Amazon AWS Exams Azure and AWS Data Lakes as Data Warehouses Examples of Data Marts Microsoft Exams Reporting Techniques

Objective – Introduction

Roy Egbokhan 2024-08-07 0 Comment

Objective This chapter provides an overview of data warehouses and familiarizes the readers with the terminologies and concepts of data warehouses. The chapter further focuses on the transformation of data warehousing techniques from past...

5 Minutes

Amazon AWS Exams Azure and AWS Data Lakes as Data Warehouses Microsoft Exams

Traditional Big Data Technologies – Introduction

Roy Egbokhan 2024-07-07 0 Comment

Traditional Big Data Technologies Before the emergence of data lakes, companies used traditional Big Data technologies like data warehouses, which were designed to store structured data. Data warehouses were initially created to support business...

2 Minutes

Amazon AWS Exams Azure and AWS Data Lakes as Data Warehouses Examples of Data Marts Microsoft Exams

A Wider Evolving Concept Called Data Mesh – Introduction

Roy Egbokhan 2024-04-07 0 Comment

A Wider Evolving Concept Called Data Mesh The data mesh is a paradigm shift in data management that focuses on data as a product. It seeks to decentralize data ownership and management, making data...

2 Minutes

Amazon AWS Exams Azure and AWS Data Lakes as Data Warehouses Microsoft Exams Reporting Techniques

Building an Effective Data Engineering Team – Introduction

Roy Egbokhan 2024-03-07 0 Comment

Building an Effective Data Engineering Team A data warehouse project typically involves a team of people with diverse skills and expertise. Here are some of the key roles and responsibilities in a data warehouse...

2 Minutes

Amazon AWS Exams Azure and AWS Data Lakes as Data Warehouses Examples of Data Marts Microsoft Exams Reporting Techniques

Introduction to Characteristics of Modern Data Warehouse – Modern Data Warehouses

Roy Egbokhan 2024-01-07 0 Comment

Introduction to Characteristics of Modern Data Warehouse In the modern era, we have to handle the following requirement challenges raised by business, along with the four V’s. Data Velocity “If an organization is a...

4 Minutes

Amazon AWS Exams Azure and AWS Data Lakes as Data Warehouses Microsoft Exams

Evolution of Databases and Codd Rules – Introduction

Roy Egbokhan 2023-12-07 0 Comment

Evolution of Databases and Codd Rules The evolution of databases began with IBM’s development of the first commercially successful database management system (DBMS) in the 1960s. The relational model of databases, introduced by E.F....

5 Minutes

Amazon AWS Exams Azure and AWS Data Lakes as Data Warehouses Examples of Data Marts Microsoft Exams

Data Sources (Data Format and Common Sources) – Introduction

Roy Egbokhan 2023-06-07 0 Comment

Data Sources (Data Format and Common Sources) In a data warehouse, data source refers to any system or application that provides data to the data warehouse. A data source can be any type of...

4 Minutes

Amazon AWS Exams Azure and AWS Data Lakes as Data Warehouses Microsoft Exams Reporting Techniques

ETL (Extract, Transform, Load) – Introduction

Roy Egbokhan 2023-05-07 0 Comment

ETL (Extract, Transform, Load) ETL stands for extract, transform, load. It is a process used to move data from one or more source systems, transform the data to fit business needs, and load the...

2 Minutes

Amazon AWS Exams Azure and AWS Data Lakes as Data Warehouses Examples of Data Marts Microsoft Exams Reporting Techniques

Data Mart Architecture – Introduction

Roy Egbokhan 2023-02-07 0 Comment

Data Mart Architecture The architecture of a data mart can vary depending on the specific needs of the business unit or department it serves. However, some common elements are typically found in a data...

2 Minutes

Amazon AWS Exams Azure and AWS Data Lakes as Data Warehouses Microsoft Exams

Examples of Data Marts – Introduction

Roy Egbokhan 2022-12-07 0 Comment

Examples of Data Marts An organization comprises various departments, including Sales, Marketing, Finance, etc., each with distinct analytics needs and specific information consumption requirements. Therefore, to effectively address these diverse needs, different datamarts are...

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