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?

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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?

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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.

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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.

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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.

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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 »

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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?

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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.

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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?

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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?

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Towards Data Science

MAY 22, 2023

Solving data preparation tasks with ChatGPT Photo by Ricardo Gomez Angel on Unsplash Data engineering makes up a large part of the data science process. In CRISP-DM this process stage is called “data preparation”. It comprises tasks such as data ingestion, data transformation and data quality assurance.

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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.

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Data Engineering Weekly

AUGUST 4, 2024

Take Astro (the fully managed Airflow solution) for a test drive today and unlock a suite of features designed to simplify, optimize, and scale your data pipelines. Hudi-rs project is an interesting one that provides an abstraction to bring part of Hudi data to DuckDB for interactive analytics.

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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.

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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.

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Data Engineering Data Engineer Engineering Data Science 77

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.

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Data Science BI Business Intelligence Machine Learning 97

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.

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Data Engineering Data Engineer Engineering Data Warehouse 81

Towards Data Science

JULY 26, 2024

Learn from Software Engineers and Discover the Joy of ‘Worse is Better’ Thinking source: unsplash.com Recently, I have had the fortune of speaking to a number of data engineers and data architects about the problems they face with data in their businesses. So, What the Heck is Radical Simplicity?

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Data Engineering Data Engineer Engineering Data Warehouse 59

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?

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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.

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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.

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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!

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Data Science Data Management IT 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.

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Data Engineering Data Engineer Project Engineering 147

Towards Data Science

NOVEMBER 20, 2024

It is worth mentioning that this article comes from an Electrical and Electronic Engineer graduate who went all the way and spent almost 8 years in academia learning about the Energy sector (and when I say all the way, I mean from a bachelor degree to a PhD and postdoc). Similarly, data engineering positions have seen a 98% increase.

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Data Engineering Data Engineer Engineering Electronics 40

Towards Data Science

FEBRUARY 10, 2024

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

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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

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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?

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Data Science Blog: Data Engineering

DECEMBER 23, 2022

Warum Data Engineering der Data Science in Bedeutung und Berufschancen längst die Show stiehlt, dabei selbst ebenso einem stetigen Wandel unterliegt. Was ein Data Engineer wirklich können muss Der Data Scientist als sexiest Job des 21. Data Engineer, der gefragteste Job des 21sten Jahrhunderts?

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Data Engineering Data Engineer Engineering Business Intelligence 52

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?

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Data Engineering Data Engineer Engineering Data Science 72

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.

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