Remove Coding Remove Definition Remove Pipeline-centric Remove Relational Database
article thumbnail

Toward a Data Mesh (part 2) : Architecture & Technologies

François Nguyen

To illustrate that, let’s take Cloud SQL from the Google Cloud Platform that is a “Fully managed relational database service for MySQL, PostgreSQL, and SQL Server” It looks like this when you want to create an instance. You are starting to be an operation or technology centric data team.

article thumbnail

How to Become a Data Engineer in 2024?

Knowledge Hut

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. Data Engineers are engineers responsible for uncovering trends in data sets and building algorithms and data pipelines to make raw data beneficial for the organization.

Insiders

Sign Up for our Newsletter

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

article thumbnail

The Rise of Unstructured Data

Cloudera

Structured data can be defined as data that can be stored in relational databases, and unstructured data as everything else. Examples of unstructured data, on the other hand, include media (video, images, audio), text files (email, tweets), business productivity files (Microsoft Office documents, Github code repositories, etc.) .

article thumbnail

97 things every data engineer should know

Grouparoo

This provided a nice overview of the breadth of topics that are relevant to data engineering including data warehouses/lakes, pipelines, metadata, security, compliance, quality, and working with other teams. 7 Be Intentional About the Batching Model in Your Data Pipelines Different batching models. Test system with A/A test.

article thumbnail

What is Data Extraction? Examples, Tools & Techniques

Knowledge Hut

Data extraction vs. data mining Aspect Data Extraction Data Mining Definition The process of retrieving specific, usable data from unstructured or semi-structured sources. Customer Interaction Data: In customer-centric industries, extracting data from customer interactions (e.g., What is extraction in coding?