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

Knowledge Hut

APRIL 26, 2024

In the age of big data processing, how to store these terabytes of data surfed over the internet was the key concern of companies until 2010. Now that the issue of storage of big data has been solved successfully by Hadoop and various other frameworks, the concern has shifted to processing these data.

Data Science 52

Data Science Machine Learning Hadoop Programming Language 52

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 83

Data Engineering Data Engineer Engineering Data Science 83

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 Engineering 204

Data Engineering Data Engineer 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.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Knowledge Hut

APRIL 25, 2024

In the world of data science, Spatial data science is at the heart of contributing to solving planet-threatening problems such as deciding the location of solar park installation, building urban resilience, predicting crop yield, population density analysis for immunization or disease mapping, and more.

Data Science 52

Data Science Telecommunication Transportation Big Data 52

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 Engineering 75

Data Engineering Data Engineer Engineering Data Science 75

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 93

Data Pipeline Python Data Engineering Data Engineer 93

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?

Data Science 96

Data Science Computer Science Programming Language Machine Learning 96

Towards Data Science

FEBRUARY 10, 2024

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

Data Engineering 95

Data Engineering Data Engineer Engineering Data Science 95

KDnuggets

FEBRUARY 28, 2024

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

Machine Learning 157

Machine Learning Data Science Data Engineering Data Engineer 157

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 107

Data Science Data Engineering Data Engineer Engineering 107

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

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

Data Engineering Weekly

MARCH 17, 2024

Compliance is mandatory, with strict penalties for violations, emphasizing the importance of data scientists familiarizing themselves with the law to avoid prohibited AI uses and ensure ethical, safe AI development. It discusses the significance of data governance, sharing history, and generative AI's impact on data economy standards.

Data Engineering 70

Data Engineering Data Engineer Engineering Data Governance 70

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

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?

Software Engineer 97

Software Engineer Software Engineering Data Science Engineering 97

Towards Data Science

MARCH 23, 2024

Data pipelines that would turn you into a decorated data professional Continue reading on Towards Data Science »

Data Engineering 96

Data Engineering Data Engineer Project Engineering 96

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 Data Mining 97

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

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 120

Data Science Business Intelligence Deep Learning Machine Learning 120

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 77

Data Engineering Data Engineer Engineering Data Science 77

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

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

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

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 143

Data Science Data Engineering Data Engineer Engineering 143

Netflix Tech

DECEMBER 14, 2023

Engineers from across the company came together to share best practices on everything from Data Processing Patterns to Building Reliable Data Pipelines. The result was a series of talks which we are now sharing with the rest of the Data Engineering community!

Data Engineering 103

Data Engineering Data Engineer Engineering Metadata 103

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 Engineering Data Engineer Engineering 52

Towards Data Science

JANUARY 6, 2024

Knowledge and skills for successful data leadership Continue reading on Towards Data Science »

Data Engineering 97

Data Engineering Data Engineer Engineering Data Science 97

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 149

Data Science Data Management IT 149

Data Engineering Weekly

DECEMBER 3, 2023

RudderStack is the Warehouse Native CDP, built to help data teams deliver value across the entire data activation lifecycle, from collection to unification and activation. link] Microsoft: Generative AI for Beginners Understanding Gen-AI becomes a mandatory skill for application developers and data engineers.

Data Engineering 70

Data Engineering Data Engineer Engineering Bytes 70

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 Data Engineering 130

Towards Data Science

FEBRUARY 24, 2023

The Chaos Data-Engineering Manifesto Another lesson we can learn from software engineers: break stuff to make it more reliable. While this idea isn’t completely foreign to data engineering, it can certainly be described as an extremely uncommon practice. Data is different. Let’s introduce some chaos.”

Data Engineering 98

Data Engineering Data Engineer Engineering Software Engineer 98

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 99

Data Science Machine Learning Data Data Engineering 99

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

Towards Data Science

DECEMBER 11, 2023

Streaming data pipelines and real-time analytics Continue reading on Towards Data Science »

Data Engineering 80

Data Engineering Data Engineer Engineering Data Pipeline 80

Towards Data Science

AUGUST 19, 2023

How I made the transition to an analytics engineer Photo by Campaign Creators on Unsplash A few years ago, I was at a point where I was feeling unfulfilled in my career. I had been working in data engineering for three years and the initial excitement of starting in the world of tech had faded.

Data Engineering 85

Data Engineering Data Engineer Engineering SQL 85