Towards Data Science

MAY 19, 2023

Data Entropy — More Data, More Problems? How to navigate and embrace complexity in a modern data organisation. Business users are unable to find and access data assets critical to their workflows. Data engineers spend countless hours troubleshooting broken pipelines. The list goes on.

Pipeline-centric 105

Pipeline-centric Data Software Engineer Software Engineering 105

Maxime Beauchemin

JANUARY 20, 2017

I joined Facebook in 2011 as a business intelligence engineer. By the time I left in 2013, I was a data engineer. We were data engineers! Data Engineering? Data science as a discipline was going through its adolescence of self-affirming and defining itself. We were pioneers.

Data Engineering 130

Data Engineering Data Engineer Engineering ETL Tools 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? Data Science is an emerging discipline and so are the roles and job titles pretty much evolving.

Machine Learning 52

Machine Learning Engineering Pipeline-centric Database-centric 52

Christophe Blefari

DECEMBER 19, 2022

of the Data News. But this article is not about the pricing which can be very subjective depending on the context—what is 1200$ for dev tooling when you pay them more than $150k per year, yes it's US-centric but relevant. If we do a parallel with software development, this is your codebase.

Management 130

Management Pipeline-centric Database-centric SQL 130

DoorDash Engineering

NOVEMBER 28, 2023

DoorDash has been building an internal Machine Learning Workbench over the past year to enhance data operations and assist our data scientists, analysts, and AI/ML engineers. As shown in Figure 1, data science intersects ML in multiple ways and is paramount to DoorDash’s success.

Machine Learning 90

Machine Learning Pipeline-centric Data Science Designing 90

Knowledge Hut

MARCH 19, 2024

Essentially, this is a suite of tools and resources that support software development through the entire software development life cycle, from its planning all through to the deployment. There are many types of environments in software development which we will learn about shortly.

Pipeline-centric 52

Pipeline-centric Database-centric Software Engineer Software Engineering 52

Monte Carlo

JULY 28, 2022

There are virtually an unlimited number of ways data can break. But perhaps one of the most common reasons for data quality challenges are software feature updates and other changes made upstream by software engineers. In fact, most of the time they are unaware of these data quality challenges.

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

The Challenges of Medical Data In recent times, there have been several developments in applications of machine learning to the medical industry. Odds are that your local hospital, pharmacy or medical institution's definition of being data-driven is keeping files in labelled file cabinets, as opposed to one single drawer.

Healthcare 52

Healthcare Data Pipeline Medical Pipeline-centric 52

Databand.ai

DECEMBER 20, 2022

The Top Data Analytics and Science Influencers and Content Creators on LinkedIn Ryan Yackel 2022-12-20 11:06:32 If you’re looking to brush up on all things data analytics and science, then LinkedIn certainly has no shortage of content. Fortunately for you, we’ve done the hard work for you.

Data Analytics 52

Data Analytics Google Cloud Data Science Data Mining 52

Databand.ai

DECEMBER 29, 2022

The Top Data Strategy Influencers and Content Creators on LinkedIn Eitan Chazbani 2022-12-29 14:08:41 What’s the latest in the data world? When it comes to LinkedIn (and beyond) here are our recommendations for the top 25 data strategy influencers and content creators to keep tabs on. So who should you be following?

BI 52

BI Consulting Data Science Data Governance 52

phData: Data Engineering

JULY 18, 2023

The Ultimate Modern Data Stack Migration Guide phData Marketing July 18, 2023 This guide was co-written by a team of data experts, including Dakota Kelley, Ahmad Aburia, Sam Hall, and Sunny Yan. Imagine a world where all of your data is organized, easily accessible, and routinely leveraged to drive impactful outcomes.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52

Knowledge Hut

JULY 26, 2023

Developers utilize software tools and frameworks to create the server-side of web applications, or backend tools. These tools give programmers the capabilities to handle application logic, manage data storage, and interact with the application's front end. Benefits of Backend Tools 1.

Database-centric 52

Database-centric Programming Language Pipeline-centric Utilities 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.

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

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

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