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

Analytics Vidhya

APRIL 17, 2023

These sessions will cover everything from conversational intelligence to people analytics covering topics like […] The post Ace Your Data Science Skills with DataHour Sessions appeared first on Analytics Vidhya.

Data Science 224

Data Science Data Technology Deep Learning 224

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 118

Data Science Data Engineering Data Engineer Engineering 118

Knowledge Hut

JULY 5, 2024

Large enterprises heavily rely on data for informed decision-making, and this reliance is where data engineers step in. Data engineers like myself play a pivotal role in assessing infrastructure and taking relevant actions. Looking ahead, the future of data engineering appears promising.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Cleanse 52

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

Analytics Vidhya

JUNE 24, 2023

He is an experienced data engineer with a passion for problem-solving and a drive for continuous growth. Thus, providing valuable insights into the field of data engineering. Introduction We had an amazing opportunity to learn from Mr. Pavan.

Data Engineer 204

Data Engineer Data Engineering Engineering Data 204

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

Team Data Science

JANUARY 14, 2021

Job change within Data Science is definitely possible Well, it is possible to switch from one profession to another if only you can learn the fundamental and core things you must know before jumping into it. in data science in their research. These tools have helped a lot of people who do not have a Ph.D. See you later.

Data Science 130

Data Science Computer Science Algorithm Data Engineering 130

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 98

Data Engineering Data Engineer Engineering Data Science 98

Silectis

FEBRUARY 17, 2021

In this blog post, we’ll walk you through how data science and data engineering are complementary disciplines. We’ll also delineate a third category: data analysis. We’ll explore how both data engineering and data science should be marshaled to make better decisions.

Data Science 52

Data Science Data Engineer Data Engineering Engineering 52

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

Towards Data Science

AUGUST 23, 2024

Expert techniques to elevate your analysis Continue reading on Towards Data Science »

Data Science 66

Data Science SQL Data Data Engineering 66

Simon Späti

MARCH 9, 2021

This post focuses on practical data pipelines with examples from web-scraping real-estates, uploading them to S3 with MinIO, Spark and Delta Lake, adding some Data Science magic with Jupyter Notebooks, ingesting into Data Warehouse Apache Druid, visualising dashboards with Superset and managing everything with Dagster.

Data Engineering 189

Data Engineering Data Engineer Engineering Project 189

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

Towards Data Science

MARCH 26, 2024

In this article we dive into some practical examples for Data Engineers Continue reading on Towards Data Science » Generative AI is all the rage.

Data Engineering 77

Data Engineering Data Engineer Engineering Data Science 77

Netflix Tech

JUNE 20, 2024

A summary of sessions at the first Data Engineering Open Forum at Netflix on April 18th, 2024 The Data Engineering Open Forum at Netflix on April 18th, 2024. At Netflix, we aspire to entertain the world, and our data engineering teams play a crucial role in this mission by enabling data-driven decision-making at scale.

Data Engineering 80

Data Engineering Data Engineer Engineering Data Warehouse 80

Team Data Science

DECEMBER 17, 2020

Organizations in several industries such as banking, healthcare, and automobiles are now acknowledging the value of data science in their mode of operation. Thus, an ideal and efficacious data science team are therefore expected to manage numerous volume of tasks.

Data Engineering 130

Data Engineering Data Engineer Engineering Cloud Computing 130

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 Data Mining 97

Team Data Science

MAY 26, 2020

Should you do a masters degree in data science in Germany? I mean the data science umbrella is not just data science, it's data engineering and data analysts and so on. Does it only go into data science? Is there more of a computer science or data technology orientation?

Data Science 130

Data Science Computer Science Data Engineering Data Engineer 130

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

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

WeCloudData

JULY 17, 2024

Data engineering is a hot topic in recent years, mainly due to the rise of artificial intelligence, big data, and data science. For enterprises, data is full of infinite value. Every enterprise is transforming in the direction of digitalization.

Data Engineer 52

Data Engineer Data Engineering Engineering Big Data 52

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

Snowflake

APRIL 17, 2024

This traditional SQL-centric approach often challenged data engineers working in a Python environment, requiring context-switching and limiting the full potential of Python’s rich libraries and frameworks. This allows your applications to handle large data sets and complex workflows efficiently.

Data Pipeline 124

Data Pipeline Python Data Engineering Data Engineer 124

Knowledge Hut

NOVEMBER 27, 2023

The Data Science learning path is a collective set of curated courses that comprise a learning plan for achieving the required skills for the data scientist role. While the time limit to complete the learning path to become a data scientist can expect 8-9 months to get through all Data Science courses.

Data Science 97

Data Science Healthcare Machine Learning Telecommunication 97

Knowledge Hut

APRIL 26, 2024

The pandemic has led to an increase in data science demand as the world has shifted in pursuit of the "new normal" from offline to online. But what is Data Science? Let's take a look at all the fuss about data science , its courses, and the path to the future. What is Data Science?

Data Science 52

Data Science Machine Learning Hadoop Programming Language 52

Towards Data Science

FEBRUARY 10, 2024

Advanced techniques to process and load data efficiently Continue reading on Towards Data Science »

Data Engineering 91

Data Engineering Data Engineer Engineering Data Science 91

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 155

Data Science Data Management IT 155

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

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 156

Data Science Data Engineering Data Engineer Engineering 156

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

Team Data Science

SEPTEMBER 1, 2020

In which regions or countries is there a boom in the field of Data Sciences and thus a large number of jobs? The USA as an advanced country Companies in the USA are obviously very, very advanced with Data Science. Germany's Silicon Valley But there are also some centers in Germany that work a lot with Data Science.

Data Science 130

Data Science Computer Science Manufacturing Education 130

Towards Data Science

AUGUST 31, 2023

Optimizing queries, improving runtimes, and geospatial data science applications Photo by Tamas Tuzes-Katai on Unsplash Intro: why is a spatial index useful? In doing geospatial data science work, it is very important to think about optimizing the code you are writing. Let’s get started! ? What’s a spatial index?

Data Engineering 72

Data Engineering Data Engineer Engineering Data Science 72

Knowledge Hut

NOVEMBER 30, 2023

Are you interested in knowing how to become a data scientist with no experience  but not sure how to go about it? Here you will learn how to get your first data science job. To get a data science job without prior experience, you can first pursue o n line courses in Data Science.

Data Science 98

Data Science Portfolio Programming Language Programming 98

Data Engineering Weekly

MAY 26, 2024

seconds, enhancing real-time sports data analytics efficiency! link] Zillow: Building a strong foundation to accelerate StreetEasy’s data science efforts There is a huge difference between data and easy-to-use data. Query times have been reduced from over 90 seconds to less than 0.5

Data Engineering 76

Data Engineering Data Engineer Engineering Google Cloud 76

Knowledge Hut

MAY 9, 2024

Data Science, with its interdisciplinary approach, combines statistics, computer science, and domain knowledge and has opened up a world of exciting and lucrative career opportunities for professionals with the right skills and expertise. The market is flooding with the highest paying data science jobs.

Data Science 52

Data Science Data Mining Data Architect Programming Language 52

KDnuggets

SEPTEMBER 25, 2019

Today, as companies have finally come to understand the value that data science can bring, more and more emphasis is being placed on the implementation of data science in production systems.

Data Science 101

Data Science Data Engineering Data Engineer Engineering 101