KDnuggets

JULY 13, 2022

Linear Algebra for Data Science; 10 Modern Data Engineering Tools; Python String Processing Cheatsheet; Simple Salary Guide for Tech Experts 2022; 16 Essential DVC Commands for Data Science.

Data Science 127

Data Science Data Engineering Data Engineer Engineering 127

Analytics Vidhya

JULY 25, 2023

In the world of data, two crucial roles play a significant part in unlocking the power of information: Data Scientists and Data Engineers. But what sets these wizards of data apart? Welcome to the ultimate showdown of Data Scientist vs Data Engineer! appeared first on Analytics Vidhya.

Data Engineering 200

Data Engineering Data Engineer Engineering Data 200

Jesse Anderson

JANUARY 29, 2024

The premier of my latest talk covering The State of Data Engineering. This starts with data warehousing and goes into data science. I finish off by showing how data engineering can avoid the same fate as data warehousing and data science.

Data Engineering 130

Data Engineering Data Engineer Engineering Data Science 130

KDnuggets

JANUARY 17, 2022

In this article, I will describe three of the most promising career options within the data industry? — data analytics, data science, and data engineering.

Data Engineering 147

Data Engineering Data Engineer Engineering Data 147

Jesse Anderson

SEPTEMBER 14, 2023

There has been quite a bit of writing covering GPT and LLMs from data science and business perspectives. I haven’t seen much from the data engineering side. Let me share my perspective, having been in data and AI for a while and using LLMs before they became popular. How can we use LLMs in data engineering?

Data Engineering 147

Data Engineering Data Engineer Engineering NoSQL 147

KDnuggets

FEBRUARY 28, 2024

Begin your data professional journey from the basics of statistics to building a production-grade AI application.

Machine Learning 160

Machine Learning Data Science Data Engineering Data Engineer 160

KDnuggets

FEBRUARY 14, 2023

Docker is dependency management on steroids, helping to ensure both reproducibility and collaboration, making it an important tool for data science. Our latest cheat sheet serves as a handy Docker reference. Check it out now!

Data Science 156

Data Science Data Management IT 156

Data Engineering Podcast

FEBRUARY 5, 2023

In that time there have been a number of generational shifts in how data engineering is done. Go to [dataengineeringpodcast.com/materialize]([link] Support Data Engineering Podcast Summary This podcast started almost exactly six years ago, and the technology landscape was much different than it is now.

Data Engineering 147

Data Engineering Data Engineer Engineering PostgreSQL 147

KDnuggets

DECEMBER 27, 2023

Discover a collection of top courses to launch your dream career or master a new skill, all for free!

Machine Learning 152

Machine Learning Data Science Data Engineering Data Engineer 152

Jesse Anderson

DECEMBER 12, 2022

As clearly evident as that sounds now, my writing about needing data engineering went heavily against the grain of everything that was written at the time. DJ Patil coined the term Data Scientist in 2008. For the majority of companies, that was the only title working on data problems at scale.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Data Engineering Weekly

JULY 21, 2024

Editor’s Note: A New Series on Data Engineering Tools Evaluation There are plenty of data tools and vendors in the industry. Data Engineering Weekly is launching a new series on software evaluation focused on data engineering to better guide data engineering leaders in evaluating data tools.

Data Engineering 119

Data Engineering Data Engineer Engineering Generalist 119

KDnuggets

NOVEMBER 7, 2023

No, they’re not the same jobs! Learn what responsibilities, skills, and tools used make them different. Then, choose the right career path for you.

Data Science 157

Data Science Data Engineering Data Engineer Engineering 157

Data Engineering Podcast

FEBRUARY 18, 2024

In this episode Dain Sundstrom, CTO of Starburst, explains how the combination of the Trino query engine and the Iceberg table format offer the ease of use and execution speed of data warehouses with the infinite storage and scalability of data lakes. Data lakes are notoriously complex. Your first 30 days are free!

Data Lake 262

Data Lake High Quality Data Data Warehouse Google Cloud 262

KDnuggets

FEBRUARY 27, 2023

5 SQL Visualization Tools for Data Engineers • Free TensorFlow 2.0 Complete Course • The Importance of Probability in Data Science • 4 Ways to Rename Pandas Columns • 5 Statistical Paradoxes Data Scientists Should Know

SQL 137

SQL Data Engineering Data Engineer Engineering 137

Data Engineering Weekly

JULY 28, 2024

Switching from Apache Spark to Ray improves compact 12X larger datasets than Apache Spark, improves cost efficiency by 91%, and processes 13X more data per hour. What are the different roles inside the data engineering functions, and what should their ratio be?

Data Engineering 111

Data Engineering Data Engineer Engineering Database-centric 111

KDnuggets

AUGUST 18, 2022

If you’re considering a career in data science, it’s important to understand how these two fields differ, and which one might be more appropriate for someone with your skills and interests.

Data Engineering 159

Data Engineering Data Engineer Engineering Data Science 159

KDnuggets

DECEMBER 9, 2022

As more people are entering the field of Data Science and more companies are hiring for data-centric roles, what type of jobs are currently in highest demand?

Engineering 160

Engineering Data Engineering Data Engineer Data Science 160

Confessions of a Data Guy

DECEMBER 29, 2022

Data engineering is a vital field within the realm of data science that focuses on the practical aspects of collecting, storing, and processing large amounts of data. appeared first on Confessions of a Data Guy. Here it is.

Data Engineering 130

Data Engineering Data Engineer Engineering IT 130

Seattle Data Guy

MAY 20, 2023

Starting new data engineering projects can be challenging. Data engineers can get stuck on finding the right data for their data engineering project or picking the right tools.

Data Engineering 147

Data Engineering Data Engineer Project Engineering 147

KDnuggets

MAY 19, 2022

Read the best books on Programming, Statistics, Data Engineering, Web Scraping, Data Analytics, Business Intelligence, Data Applications, Data Management, Big Data, and Cloud Architecture.

Data Science 160

Data Science Business Intelligence Big Data Architecture 160

KDnuggets

MARCH 10, 2023

Mastering the most-used commands will allow you to become a productive of a data science, data engineering, or machine learning engineering development team. The GitHub CLI is a tool that allows for interaction with the GitHub platform with the command line interface.

Data Science 108

Data Science Machine Learning Data Data Engineering 108

KDnuggets

APRIL 19, 2024

The collection includes free courses on Python, SQL, Data Analytics, Business Intelligence, Data Engineering, Machine Learning, Deep Learning, Generative AI, and MLOps.

Data Science 155

Data Science Deep Learning Business Intelligence Machine Learning 155

KDnuggets

MARCH 29, 2023

The second part covers the list of Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Data Engineering, and MLOps.

Data Science 160

Data Science Deep Learning Machine Learning Data Engineering 160

KDnuggets

OCTOBER 12, 2022

10 Cheat Sheets You Need To Ace Data Science Interview • NLP Interview Questions • A Day in the Life of a Machine Learning Engineer • 11 Questions About Data Engineers: What's the profession about, and where's it heading? • The ABCs of NLP, From A to Z.

Data Science 134

Data Science Machine Learning Data Engineering Data Engineer 134

Knowledge Hut

SEPTEMBER 6, 2023

Nowadays, I often hear people saying they aspire to become data scientists or they want to work with data, but they don’t know the path to do so. I myself have faced this problem and data science certifications come as a rescue for this problem. What is Data Science Certification?

Data Science 97

Data Science Certification Business Analyst Machine Learning 97

Jesse Anderson

NOVEMBER 2, 2022

My guest this week is Erick Webbe , Head of Data Science at bol.com. Bol.com is the biggest online retailer in northwestern Europe, serving about 12 million customers, as a general retailer similar to Amazon.com. Erick has a Master’s degree in Applied Physics. His background in physics forms a basis for his philosophy on life and work.

Generalist 130

Generalist Data Science Building Retail 130

KDnuggets

FEBRUARY 21, 2022

A collection of cheat sheets that will help you prepare for a technical interview on Data Structures & Algorithms, Machine learning, Deep Learning, Natural Language Processing, Data Engineering, Web Frameworks.

Data Science 154

Data Science Deep Learning Algorithm Machine Learning 154

Knowledge Hut

JANUARY 18, 2024

Most organizations are still in the initial stages of learning how to apply data science to gain business benefits and healthy returns. What is Data Science? Data science is a collaborative field that deals with the study of data using various tools and methods. Who Is a Full-Stack Data Scientist?

Data Science 96

Data Science Computer Science Programming Language Machine Learning 96

Knowledge Hut

JANUARY 18, 2024

I’ve often noticed that people use terms like Data Science and Artificial Intelligence ( AI ) interchangeably. The key connection between Data Science and AI is data. Understanding  Data Science course eligibility  can help you understand more about Data Science. What is Data Science?

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

Knowledge Hut

DECEMBER 29, 2023

The market for analytics is flourishing, as is the usage of the phrase Data Science. Professionals from a variety of disciplines use data in their day-to-day operations and feel the need to understand cutting-edge technology to get maximum insights from the data, therefore contributing to the growth of the organization.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Analytics Vidhya

FEBRUARY 6, 2023

Introduction The demand for data to feed machine learning models, data science research, and time-sensitive insights is higher than ever thus, processing the data becomes complex. To make these processes efficient, data pipelines are necessary.

Amazon Web Services 218

Amazon Web Services Data Pipeline Machine Learning Data Science 218

Knowledge Hut

DECEMBER 26, 2023

Of course, handling such huge amounts of data and using them to extract data-driven insights for any business is not an easy task; and this is where Data Science comes into the picture. You can execute this by learning data science with python and working on real projects.

Data Science 97

Data Science BI Business Intelligence Machine Learning 97

KDnuggets

DECEMBER 5, 2022

The Complete Data Engineering Study Roadmap • How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.iat • Top 10 Data Science Myths Busted • What is Chebychev’s Theorem and How Does it Apply to Data Science? Scikit-learn for Machine Learning Cheatsheet.

Data Engineering 116

Data Engineering Data Engineer Engineering Data Science 116

KDnuggets

DECEMBER 12, 2022

4 Useful Intermediate SQL Queries for Data Science • How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.iat • 3 Free Machine Learning Courses for Beginners • 7 Essential Cheat Sheets for Data Engineering • 7 Techniques to Handle Imbalanced Data.

Data Science 116

Data Science SQL Machine Learning Data Engineering 116

Towards Data Science

MAY 13, 2024

Engineers, scientists, and analysts have the potential to greatly reduce carbon emissions by introducing sustainable, efficient, and… Continue reading on Towards Data Science »

Data Engineering 97

Data Engineering Data Engineer Engineering Data Science 97

Knowledge Hut

JANUARY 18, 2024

Per the BLS, the expected growth rate of job vacancies for data scientists and software engineers is around 22% by 2030. Although both Data Science and Software Engineering domains focus on math, code, data, etc., Is mastering data science beneficial or building software is a better career option?

Software Engineer 97

Software Engineer Software Engineering Data Science Engineering 97

KDnuggets

AUGUST 15, 2022

The second part covers the list of Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Data Engineering, and MLOps.

Data Science 139

Data Science Project Deep Learning Machine Learning 139