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

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

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

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. No contracts, no interfaces, no guarantees.

Pipeline-centric 52

Pipeline-centric Software Engineer Software Engineering Database-centric 52

Monte Carlo

JANUARY 9, 2024

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. And as both your data and software engineering teams grow, it becomes more complex to add contracts to services. “It

Pipeline-centric 52

Pipeline-centric Database-centric Data Manufacturing 52

Knowledge Hut

JULY 26, 2023

Features: Data Storage (Relational) Cloud Code Functions APIs (GraphQL and REST) File Storage Pros: Great documentation CLI tool Graphql support Cons: Need to learn a lot to get started The cloud code is in javascript not typescript 2. It doesn't have anything else other than source code repositories hosting.

Database-centric 52

Database-centric Programming Language Pipeline-centric Utilities 52

DareData

JULY 29, 2020

One paper suggests that there is a need for a re-orientation of the healthcare industry to be more "patient-centric". Furthermore, clean and accessible data, along with data driven automations, can assist medical professionals in taking this patient-centric approach by freeing them from some time-consuming processes.

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

phData: Data Engineering

JULY 18, 2023

Common Limitations from Legacy Data Systems Long Turn-Around Time to Set up Infrastructure: Having large on-premise infrastructure results in a setup that is deeply interconnected and often requires an army of engineers to maintain. This typically results in long-running ETL pipelines that cause decisions to be made on stale or old data.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 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

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. Prior coding knowledge is preferred but not mandatory.

Certification 52

Certification MongoDB Database-centric Programming 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 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. Prior coding knowledge is preferred but not mandatory.

Certification 40

Certification MongoDB Database-centric Programming 40

Confluent

SEPTEMBER 25, 2019

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. These applications are all what software engineers call “CRUD” apps.

Database-centric 56

Database-centric Kafka Pipeline-centric Retail 56