Remove Architecture Remove Designing Remove Relational Database Remove Systems
article thumbnail

Designing A Non-Relational Database Engine

Data Engineering Podcast

The default association with the term "database" is relational engines, but non-relational engines are also used quite widely. In this episode Oren Eini, CEO and creator of RavenDB, explores the nuances of relational vs. non-relational engines, and the strategies for designing a non-relational database.

article thumbnail

How to Design a Modern, Robust Data Ingestion Architecture

Monte Carlo

A data ingestion architecture is the technical blueprint that ensures that every pulse of your organization’s data ecosystem brings critical information to where it’s needed most. Data Loading : Load transformed data into the target system, such as a data warehouse or data lake. A typical data ingestion flow.

Insiders

Sign Up for our Newsletter

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

article thumbnail

A Multipurpose Database For Transactions And Analytics To Simplify Your Data Architecture With Singlestore

Data Engineering Podcast

By supporting fast, in-memory row-based queries and columnar on-disk representation, it lets your transactional and analytical workloads run in the same database. Atlan is a collaborative workspace for data-driven teams, like Github for engineering or Figma for design teams. Can you describe what SingleStore is and the story behind it?

article thumbnail

DataOps Architecture: 5 Key Components and How to Get Started

Databand.ai

DataOps Architecture: 5 Key Components and How to Get Started Ryan Yackel August 30, 2023 What Is DataOps Architecture? A DataOps architecture is the structural foundation that supports the implementation of DataOps principles within an organization. As a result, they can be slow, inefficient, and prone to errors.

article thumbnail

Object-centric Process Mining on Data Mesh Architectures

Data Science Blog: Data Engineering

New big data architectures and, above all, data sharing concepts such as Data Mesh are ideal for creating a common database for many data products and applications. The Event Log Data Model for Process Mining Process Mining as an analytical system can very well be imagined as an iceberg.

article thumbnail

Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

AltexSoft

This article explains what a data lake is, its architecture, and diverse use cases. A data lake is a centralized repository designed to hold vast volumes of data in its native, raw format — be it structured, semi-structured, or unstructured. What is a data lake? Who needs a data lake? Data warehouse vs. data lake in a nutshell.

article thumbnail

Top Software Engineer Skills You Should Have in 2024

Knowledge Hut

These experts are well-versed in programming languages, have access to databases, and have a broad understanding of topics like operating systems, debugging, and algorithms. Computer programs and related materials like specifications, design models, and user guides. What Skills do you Need to be a Software Engineer?