Remove Accessibility Remove Cloud Remove Relational Database Remove Unstructured Data
article thumbnail

Top 7 AWS Cloud Practitioner Projects in 2023 [With Source Code]

Knowledge Hut

As an AWS Cloud Practitioner with experience in delivering multiple AWS cloud practitioner projects, I vividly recall assisting a startup to prove the scalability of their AI solution on AWS during one of my early projects. This experience ignited my passion for architecting cost-effective, scalable solutions on the AWS platform.

AWS 52
article thumbnail

Big Data vs Traditional Data

Knowledge Hut

Below are some of the differences between Traditional Databases vs big data: Parameters Big Data Traditional Data Flexibility Big data is more flexible and can include both structured and unstructured data. Traditional Data is based on a static schema that can only work well with structured data.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Best Morgan Stanley Data Engineer Interview Questions

U-Next

Introduction Data Engineer is responsible for managing the flow of data to be used to make better business decisions. A solid understanding of relational databases and SQL language is a must-have skill, as an ability to manipulate large amounts of data effectively. What is AWS Kinesis?

article thumbnail

5 Layers of Data Lakehouse Architecture Explained

Monte Carlo

Data lakehouse architecture combines the benefits of data warehouses and data lakes, bringing together the structure and performance of a data warehouse with the flexibility of a data lake. The data lakehouse’s semantic layer also helps to simplify and open data access in an organization.

article thumbnail

Data Lakehouse Architecture Explained: 5 Layers

Monte Carlo

Data lakehouse architecture combines the benefits of data warehouses and data lakes, bringing together the structure and performance of a data warehouse with the flexibility of a data lake. The data lakehouse’s semantic layer also helps to simplify and open data access in an organization.

article thumbnail

The Role of Database Applications in Modern Business Environments

Knowledge Hut

It is made up of tables that carry data in rows and columns. Data Access Layer: The data access layer function is to create a connection between the application and the database. Database Application Types: The various types of database applications are as follows: 1.

article thumbnail

Azure Data Engineer Certification Path (DP-203): 2023 Roadmap

Knowledge Hut

Businesses require an infrastructure that educates their staff to sort and analyze this volume of data to handle such big data. Data engineering services can be used in this situation. Data engineers work on the data to organize and make it usable with the aid of cloud services.