Christophe Blefari

APRIL 8, 2023

The only normalisation I did was back at the engineering school while learning SQL with Normal Forms. I still firmly believe that this is not the role of a data engineer. A data engineer should still be a software engineer working with data, empowering others with tooling and apps. Enters the analytics engineer.

Pipeline-centric 130

Pipeline-centric Database-centric Algorithm Data 130

Grouparoo

OCTOBER 6, 2021

It was a fun experience and I think we made a good choice by picking 97 Things Every Data Engineer Should Know. 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.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

ProjectPro

DECEMBER 16, 2021

Are you a newbie in the data science domain ready to embark on a rewarding journey but are confused between the roles of a Machine Learning Engineer vs Data Scientist? Read this article to understand the significant differences and similarities between a machine learning engineer and a data scientist.

Machine Learning 52

Machine Learning Engineering Pipeline-centric Database-centric 52

Knowledge Hut

MARCH 19, 2024

A software development environment (SDE) is an operating setup or system framework applied in easing, writing, testing, and deployment of applications in a quick manner. There are many types of environments in software development which we will learn about shortly. Keeping development separated avoids disrupting wider teams.

Pipeline-centric 52

Pipeline-centric Database-centric Software Engineer Software Engineering 52

Towards Data Science

MAY 19, 2023

Webster’s dictionary defines Entropy in thermodynamics as a measure of the unavailable energy in a closed thermodynamic system that is also usually considered to be a measure of the system’s disorder. Data engineers spend countless hours troubleshooting broken pipelines. Every “minor” change upstream results in mayhem.

Pipeline-centric 105

Pipeline-centric Data Software Engineer Software Engineering 105

DoorDash Engineering

NOVEMBER 28, 2023

It is amusing for a human being to write an article about artificial intelligence in a time when AI systems, powered by machine learning (ML), are generating their own blog posts. Therefore, it’s critical for the data and engineering teams to have comprehensive support throughout the ML process.

Machine Learning 90

Machine Learning Pipeline-centric Data Science Designing 90

Monte Carlo

JULY 28, 2022

But perhaps one of the most common reasons for data quality challenges are software feature updates and other changes made upstream by software engineers. These are particularly frustrating, because while they are breaking data pipelines constantly, it’s not their fault. Image courtesy of Andrew Jones.

Pipeline-centric 52

Pipeline-centric Software Engineer Software Engineering Database-centric 52

Monte Carlo

JANUARY 9, 2024

One dark and stormy night, an innocent data team completed a crucial user-facing system conversion. The change in high-level metrics set off alarm bells, summoning their colleagues on product and engineering teams to run to the rescue and determine what was going wrong with the customer experience.

Pipeline-centric 52

Pipeline-centric Database-centric Data Manufacturing 52

DareData

JULY 29, 2020

We have heard news of machine learning systems outperforming seasoned physicians on diagnosis accuracy, chatbots that present recommendations depending on your symptoms , or algorithms that can identify body parts from transversal image slices , just to name a few. What makes a good Data Pipeline?

Healthcare 52

Healthcare Data Pipeline Medical Pipeline-centric 52

Databand.ai

DECEMBER 20, 2022

1) Neelesh Salian Staff Software Engineer at dbt Labs Neelesh has nearly a decade of experience as a software engineer, working at companies like Stitch Fix and dbt Labs. On LinkedIn, he posts frequently about data engineering, data architecture, interview preparation, and career advice.

Data Analytics 52

Data Analytics Google Cloud Data Science Data Mining 52

Knowledge Hut

JULY 26, 2023

Flexibility: Backend technologies give developers the freedom to choose the finest ones for their individual needs in terms of programming languages, databases, and operating systems. It provides a wide range of fully managed mobile-centric services, such as authentication, push messaging, analytics, file storage, and NoSQL databases.

Database-centric 52

Database-centric Programming Language Pipeline-centric Utilities 52

Databand.ai

DECEMBER 29, 2022

Quality, Engineering, Security) Frequent keynote speaker, book author, community leader (e.g. Follow Priya on LinkedIn 6) Niv Sluzki Director of Engineering at Databand Niv is dedicated to solving data health and data quality issues for code-intensive data engineering teams.

BI 52

BI Consulting Data Science Data Governance 52

phData: Data Engineering

JULY 18, 2023

This has led to the development of many different tools and platforms that provide scalable and economical solutions to work with these systems. However, before exploring the benefits and potential of the Modern Data Stack, it’s crucial to identify and understand the major challenges associated with legacy data systems.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52

AltexSoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics. Data analysis.

Big Data 52

Big Data Data Process Process Hadoop 52

Knowledge Hut

NOVEMBER 15, 2023

Technical resumes are often used by people who are seeking jobs in the engineering or computer science fields, but they can also be used by people in other fields who have developed strong technical skills. Example 2: To use my strong computer science skills to develop innovative software solutions for a major tech company.

Finance 98

Finance Business Intelligence Database-centric Certification 98

Knowledge Hut

JULY 7, 2023

Modes Blended Learning Provider + Instructors The course is provided by KnowledgeHut based on the industry-validated curriculum from the Software Engineering Advisory Board, which comprises industry veterans, thought leaders, and seasoned experts in the field. Placement or Job Assistance Yes, KnowledgeHut also provides job assistance.

Certification 52

Certification MongoDB Database-centric Programming 52

Confluent

SEPTEMBER 25, 2019

Here, the bank loan business division has essentially become software. Of course, this is not to imply that companies will become only software (there are still plenty of people in even the most software-centric companies), just that the full scope of the business is captured in an integrated software defined process.

Database-centric 56

Database-centric Kafka Pipeline-centric Retail 56

Knowledge Hut

JULY 11, 2023

Modes Blended Learning Provider + Instructors The course is provided by KnowledgeHut based on the industry-validated curriculum from the Software Engineering Advisory Board, which comprises industry veterans, thought leaders, and seasoned experts in the field. Placement or Job Assistance Yes, KnowledgeHut also provides job assistance.

Certification 40

Certification MongoDB Database-centric Programming 40