Analytics Vidhya

APRIL 17, 2023

Introduction Well, hold onto your seats because the DataHour sessions are here to revolutionize how you learn about data-driven technologies. If you’re tired of boring, dry sessions that put you to sleep faster than a lullaby, you’re in for a treat.

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Data Science Data Technology Deep Learning 224

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 Engineer Data Engineering Engineering NoSQL 147

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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Data Engineer Data Engineering Engineering Data 200

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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Data Engineer Data Engineering Engineering Data 204

Jesse Anderson

DECEMBER 12, 2022

They were the first companies to commercialize open source big data technologies and pushed the marketing and commercialization of Hadoop. With an immutable file system like HDFS, we needed scalable databases to read and write data randomly. Apache Kafka came in 2011 and gave the industry a much better way to move real-time data.

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Data Engineer Data Engineering Engineering Hadoop 130

Data Engineering Podcast

FEBRUARY 5, 2023

In that time there have been a number of generational shifts in how data engineering is done. Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? Materialize]([link] Looking for the simplest way to get the freshest data possible to your teams?

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Data Engineer Data Engineering Engineering PostgreSQL 147

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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Data Science Computer Science Data Engineer 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 »

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Data Engineer Data Engineering Engineering Data Science 98

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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Data Science Certification Business Analyst Machine Learning 97

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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Data Science Data Engineer Data Engineering Engineering 110

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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Data Engineer Data Engineering Engineering Cloud Computing 130

Knowledge Hut

JULY 5, 2024

In my experience, data silos have emerged as a significant challenge for organizations. 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.

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Data Engineer Data Engineering Engineering Data Cleanse 52

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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Data Engineer Data Engineering Engineering Project 189

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. People working as full stack data scientists are responsible for implementing the project from start to finish. What is Data Science? Who Is a Full-Stack Data Scientist?

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Data Science Computer Science Programming Language Machine Learning 96

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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Data Engineer Data Engineering Engineering Data Science 90

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 Engineer 147

Data Engineer Data Engineering Project Engineering 147

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. As the next edition of the evaluation series, we are looking to take Data Observability. The blog makes an excellent point on what makes data illiterate. Stay Tuned.

Data Engineer 80

Data Engineer Data Engineering Engineering Data 80

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

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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Data Science Deep Learning Business Analyst Data Mining 98

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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Data Engineer Data Engineering Engineering IT 130

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 Engineer Data Engineering 130

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 Engineer 76

Data Engineer Data Engineering Engineering Data Science 76

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.

Data Engineer 58

Data Engineer Data Engineering Engineering Software Engineering 58

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

FEBRUARY 10, 2024

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

Data Engineer 90

Data Engineer Data Engineering Engineering Data Science 90

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

Knowledge Hut

DECEMBER 26, 2023

According to the World Economic Forum, the amount of data generated per day will reach 463 exabytes (1 exabyte = 10 9 gigabytes) globally by the year 2025. Thus, almost every organization has access to large volumes of rich data and needs “experts” who can generate insights from this rich data.

Data Science 97

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 Engineer Data Engineering Engineering Data Warehouse 81

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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Data Science Healthcare Machine Learning Algorithm 97

Knowledge Hut

JANUARY 18, 2024

Speaking of job vacancies, the two careers have high demands till date and in upcoming years are Data Scientist and a Software Engineer. Per the BLS, the expected growth rate of job vacancies for data scientists and software engineers is around 22% by 2030. What is Data Science? What is Software Engineering?

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Software Engineering Software Engineer Data Science Engineering 97

Towards Data Science

NOVEMBER 20, 2024

Data is booming. Is it worth switching to a data career now? 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).

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Data Engineer Data Engineering Engineering Electronics 40

KDnuggets

FEBRUARY 28, 2024

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

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Machine Learning Data Science Data Engineer Data Engineering 154

Snowflake

APRIL 17, 2024

In today’s data-driven world, developer productivity is essential for organizations to build effective and reliable products, accelerate time to value, and fuel ongoing innovation. This allows your applications to handle large data sets and complex workflows efficiently.

Data Pipeline 109

Data Pipeline Python Data Engineer Data Engineering 109

Towards Data Science

MARCH 17, 2024

Outlining strategies and solution architectures to incrementally load data from various data sources. Continue reading on Towards Data Science »

Data Engineer 69

Data Engineer Data Engineering Engineering Data Science 69

Data Engineering Weekly

MAY 26, 2024

link] Meta: Composable data management at Meta Meta writes about its transition to a composable data management system to improve interoperability, reusability, and engineering efficiency. seconds, enhancing real-time sports data analytics efficiency! The author highlights some of the key missing features from S3.

Data Engineer 76

Data Engineer Data Engineering Engineering Google Cloud 76

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 Engineer 71

Data Engineer Data Engineering Engineering Data Science 71

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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Data Science Computer Science Manufacturing Education 130