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 Spark came in 2009 and gave a unified batch and streaming engine.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Analytics Vidhya

MARCH 8, 2023

The Biggest Data Science Blogathon is now live! Martin Uzochukwu Ugwu Analytics Vidhya is back with the largest data-sharing knowledge competition- The Data Science Blogathon. Knowledge is power. Sharing knowledge is the key to unlocking that power.”―

Data Science 245

Data Science Data Cloud Computing Deep Learning 245

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?

Data Engineering 147

Data Engineering Data Engineer Engineering PostgreSQL 147

Towards Data Science

NOVEMBER 4, 2023

Platform Specific Tools and Advanced Techniques Photo by Christopher Burns on Unsplash The modern data ecosystem keeps evolving and new data tools emerge now and then. In this article, I want to talk about crucial things that affect data engineers. Are your data pipelines efficient? Data warehouse exmaple.

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Data Engineering Data Engineer Engineering BI 87

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 Engineering Data Engineer Engineering Data Science 94

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 81

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

Knowledge Hut

DECEMBER 26, 2023

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. What is Data Science? What are the roles and responsibilities of a Data Engineer? What is Data Science?

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Data Engineering Data Engineer Engineering Pipeline-centric 98

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 108

Data Pipeline Python Data Engineering Data Engineer 108

Data Engineering Weekly

APRIL 28, 2024

Intuit: The Data Mesh Strategy Behind Intuit’s Global Financial Technology Platform The Data Product Builder platform is becoming increasingly important in enterprise data engineering. It offers more targeted and customized data asset building than the general-purpose data stack.

Data Engineering 52

Data Engineering Data Engineer Engineering Hospitality 52

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!

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Data Engineering Data Engineer Engineering Metadata 103

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 Engineer Software Engineering Data Science Engineering 97

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.

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Data Engineering Data Engineer Engineering Data Governance 70

Data Engineering Weekly

MAY 5, 2024

In an ideal world, data should be thought of as “borrowed” (possibly unpermitted) and thus can be “returned,” and unlearning should enable such revocation. link] LinkedIn: LakeChime - A Data Trigger Service for Modern Data Lakes LinkedIn points out two critical flaws in a partitioned approach to data management.

Data Engineering 67

Data Engineering Data Engineer Engineering Google Cloud 67

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 Engineering Data Engineer Engineering Project 189

Towards Data Science

FEBRUARY 10, 2024

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

Data Engineering 94

Data Engineering Data Engineer Engineering Data Science 94

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 »

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Data Engineering Data Engineer Engineering Data Science 74

Towards Data Science

DECEMBER 4, 2023

A Glossary with Use Cases for First-Timers in Data Engineering An happy Data Engineer at work Are you a data engineering rookie interested in knowing more about modern data infrastructures? In this guide Data Engineering meets Formula 1. I bet you are, this article is for you!

Data Engineering 88

Data Engineering Data Engineer Engineering Data Lake 88

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 Engineering Data Engineer Engineering Cloud Computing 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. As a result, the 2020 election was the first I can remember where the on-call engineers weren’t on the edge of their seats, white-knuckling their keyboards…At least not for system reliability reasons.

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Data Engineering Data Engineer Engineering Software Engineer 98

Analytics Vidhya

FEBRUARY 28, 2023

Introduction Data science has taken over all economic sectors in recent times. To achieve maximum efficiency, every company strives to use various data at every stage of its operations.

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Data Science Data Preparation Big Data Data 285

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

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 Engineering Data Engineer Engineering IT 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 76

Data Engineering Data Engineer Engineering Data Science 76

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 84

Data Engineering Data Engineer Engineering SQL 84

Data Engineering Weekly

FEBRUARY 4, 2024

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. Joe Reis: Definition of Data Modeling & What Data Modeling Is not Joe raised a very fundamental question in data engineering.

Data Engineering 62

Data Engineering Data Engineer Engineering PostgreSQL 62

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 Engineering Data Engineer Engineering 102

Knowledge Hut

MAY 3, 2023

Did you know that data is now an essential component of modern business operations? With companies increasingly relying on data-driven insights to make informed decisions, there has never been a greater need for skilled specialists who can manage and evaluate vast amounts of data.

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Data Engineering Data Engineer Engineering Data Cleanse 98

Towards Data Science

JANUARY 6, 2024

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

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Data Engineering Data Engineer Engineering Data Science 97

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 Engineering Data Engineer 152

Towards Data Science

NOVEMBER 12, 2023

Readers Digest to Learn Data Engineering Gradually Continue reading on Towards Data Science »

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Data Engineering Data Engineer Engineering Data Science 52

Analytics Vidhya

APRIL 13, 2023

The job opportunities for data scientists will grow by 36% between 2021 and 2031, as suggested by BLS. It has become one of the most demanding job profiles of the current era.

Data Science 248

Data Science Certification Recruitment Data 248

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?

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Data Engineering Data Engineer Engineering Data Science 160

Towards Data Science

MARCH 23, 2024

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

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Data Engineering Data Engineer Project Engineering 95

Knowledge Hut

MARCH 5, 2024

Data engineers are highly in demand and short in supply. Data engineering is one of the hottest jobs that is trending across the globe. Singapore has a thriving technical market that has been on the lookout for data engineers. Who is Data Engineer and What Do They Do?

Data Engineering 52

Data Engineering Data Engineer Engineering Education 52

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.

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Data Engineering Data Engineer Engineering Data 133

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?

Data Engineering 52

Data Engineering Data Engineer Engineering Business Intelligence 52