KDnuggets

NOVEMBER 13, 2023

Welcome back to Week 2 of KDnuggets’ "Back to Basics" series. This week, we delve into the vital world of Databases, SQL, Data Management, and Statistical Concepts in Data Science.

Database 104

Database SQL Data Management Management 104

Knowledge Hut

JUNE 26, 2023

A computer scientist specializes in the study of computer systems, algorithms and data structures, programming languages, and the theoretical foundations of computing. A computer scientist specializes in the study of computer systems, algorithms and data structures, programming languages, and the theoretical foundations of computing.

Computer Science 52

Computer Science Programming Language Algorithm Recruitment 52

Knowledge Hut

DECEMBER 26, 2023

They also improve, maintain, and test other engineers' software.   For more information, check out Data Science self-paced course. Various computer systems and applications are designed and created by software engineers to solve real-world problems. The role of software engineers involves more than just developing their own systems.

Software Engineer 52

Software Engineer Software Engineering Engineering Programming Language 52

ProjectPro

NOVEMBER 30, 2021

If you are into Data Science or Big Data, you must be familiar with an ETL pipeline. This guide provides definitions, a step-by-step tutorial, and a few best practices to help you understand ETL pipelines and how they differ from data pipelines. How do we transform this data to get valuable insights from it?

Process 52

Process Data Pipeline Data Warehouse AWS 52

ProjectPro

MAY 31, 2021

Ace your big data interview by adding some unique and exciting Big Data projects to your portfolio. This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies. Table of Contents What is a Big Data Project?

Big Data 52

Big Data Coding Project Hadoop 52

Monte Carlo

MAY 17, 2023

Data observability, an organization’s ability to fully understand the health and quality of the data in their systems, has become one of the hottest technologies in modern data engineering. To help clarify, we reviewed hundreds of data observability deployments to identify 61 real data observability use cases and benefits.

Data 52

Data Data Pipeline Data Engineering Data Engineer 52

Monte Carlo

MAY 17, 2023

Data observability, an organization’s ability to fully understand the health and quality of the data in their systems, has become one of the hottest technologies in modern data engineering. To help clarify, we reviewed hundreds of data observability deployments to identify 61 real data observability use cases and benefits.

Data Pipeline 52

Data Pipeline Data Data Engineering Data Engineer 52