KDnuggets

JANUARY 7, 2020

An estimated 8,650% growth of the volume of Data to 175 zetabytes from 2010 to 2025 has created an enormous need for Data Engineers to build an organization's big data platform to be fast, efficient and scalable.

Data Engineering 160

Data Engineering Data Engineer Engineering Big Data 160

Edureka

APRIL 22, 2025

Data engineering can help with it. It is the force behind seamless data flow, enabling everything from AI-driven automation to real-time analytics. Key Trends in Data Engineering for 2025 In the fast-paced world of technology, data engineering services keep companies that focus on data running.

Data Engineering 52

Data Engineering Data Engineer Engineering Consulting 52

KDnuggets

SEPTEMBER 11, 2023

Where do you start in a field as vast as big data? We explore this and talk about the most common tools in big data. Which tools and techniques to use?

Big Data Tools 146

Big Data Tools Big Data Data Data Engineering 146

Seattle Data Guy

JANUARY 17, 2023

Are data engineers all learning Rust? Our team is putting together an all day event focused on helping answer some… Read more The post What Is The State Of Data Engineering And Infrastructure In 2023 appeared first on Seattle Data Guy. Are Snowflake and Databricks still fighting over total cost of ownership?

Data Engineering 211

Data Engineering Data Engineer Engineering Data 211

Monte Carlo

OCTOBER 31, 2024

One job that has become increasingly popular across enterprise data teams is the role of the AI data engineer. Demand for AI data engineers has grown rapidly in data-driven organizations. But what does an AI data engineer do? Table of Contents What Does an AI Data Engineer Do?

Data Engineering 52

Data Engineering Data Engineer Engineering Unstructured Data 52

Data Engineering Weekly

MARCH 2, 2025

Get the report → Editor’s Note: Data Council 2025, Apr 22-24, Oakland, CA Data Council has always been one of my favorite events to connect with and learn from the data engineering community. Data Council 2025 is set for April 22-24 in Oakland, CA. DeepSeek’s smallpond Takes on Big Data.

Data Engineering 63

Data Engineering Data Engineer Engineering Datasets 63

Team Data Science

MAY 20, 2020

Should companies go full blowing big data/data science platform right away? Are you in the Proof-of-Concept phase, where you are just working with offline data, where you are proving your concepts? To answer the question at the beginning: No, I wouldn't go for a big data solution. What do you think about it?

Big Data 130

Big Data Building AWS Kafka 130

Team Data Science

JANUARY 8, 2021

Big Data has become the dominant innovation in all high-performing companies. Notable businesses today focus their decision-making capabilities on knowledge gained from the study of big data. Big Data gives you an advantage in competition as true for businesses as it is for professionals working in the area of analytics.

Data Engineering 130

Data Engineering Data Engineer Engineering Unstructured Data 130

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.

Data Engineering 147

Data Engineering Data Engineer Engineering PostgreSQL 147

Knowledge Hut

MARCH 7, 2024

Foresighted enterprises are the ones who will be able to leverage this data for maximum profitability through data processing and handling techniques. With the rise in opportunities related to Big Data, challenges are also bound to increase. Below are the 5 major Big Data challenges that enterprises face in 2024: 1.

Big Data 98

Big Data Bytes Data Governance Raw Data 98

Seattle Data Guy

FEBRUARY 11, 2023

Apache Airflow is a very popular tool that data engineers rely on. Why do data engineers like Airflow? What are… Read more The post What Is Apache Airflow – Data Engineering Consulting appeared first on Seattle Data Guy. Also, what does Apache Airflow event do? What is a DAG?

Consulting 147

Consulting Data Engineering Data Engineer Engineering 147

Christophe Blefari

JANUARY 20, 2024

Learn data engineering, all the references ( credits ) This is a special edition of the Data News. But right now I'm in holidays finishing a hiking week in Corsica 🥾 So I wrote this special edition about: how to learn data engineering in 2024. Who are the data engineers?

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Confessions of a Data Guy

APRIL 28, 2024

The funny thing is, at the time, and today, it […] The post Why did Golang lose to Rust for Data Engineering? appeared first on Confessions of a Data Guy. When I first wrote a little Golang (~2+ years ago) I was just trying to see what the hype was all about.

Data Engineering 162

Data Engineering Data Engineer Engineering Data 162

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

Data Engineering Weekly

FEBRUARY 2, 2025

[link] Alireza Sadeghi: The rise of single-node processing engines The article highlights the growing popularity of single-node processing frameworks like DuckDB, Apache DataFusion, and Polars in 2024, challenging the distributed-first mindset of the "big data" era.

Data Engineer 58

Data Engineer Data Engineering Engineering Data Lake 58

Analytics Vidhya

FEBRUARY 28, 2023

A collaborative and interactive workspace allows users to perform big data processing and machine learning tasks easily. Introduction Azure Databricks is a fast, easy, and collaborative Apache Spark-based analytics platform that is built on top of the Microsoft Azure cloud.

Big Data 312

Big Data Machine Learning Cloud Data Process 312

InData Labs

AUGUST 24, 2023

From online transactions and social media interactions to sensor readings and scientific research, the sheer volume, velocity, and variety of data have given rise to the concept of “Big data.”

Big Data 92

Big Data Media Data BI 92

Knowledge Hut

APRIL 25, 2024

Big data in information technology is used to improve operations, provide better customer service, develop customized marketing campaigns, and take other actions to increase revenue and profits. It is especially true in the world of big data. It is especially true in the world of big data.

Big Data 98

Big Data Technology Hadoop NoSQL 98

Confessions of a Data Guy

NOVEMBER 5, 2022

There are probably few things in life that will strike more fear and tumult in the heart of the Data Engineer than historical loads. How could it possibly be, just take a bunch of data stored somewhere and shove it into a table. […] The post Introduction to Historical Loads – for Data Engineers.

Data Engineering 130

Data Engineering Data Engineer Engineering Data 130

Confessions of a Data Guy

AUGUST 7, 2024

One thing I find myself doing these days (I am unsure how I feel about this), is teaching others to solve problems … Data Engineering problems to be specific. I […] The post How to Solve Data Engineering Problems appeared first on Confessions of a Data Guy.

Data Engineering 113

Data Engineering Data Engineer Engineering Data 113

Towards Data Science

JANUARY 17, 2024

Parquet vs ORC vs Avro vs Delta Lake Photo by Viktor Talashuk on Unsplash The big data world is full of various storage systems, heavily influenced by different file formats. These are key in nearly all data pipelines, allowing for efficient data storage and easier querying and information extraction. schema(schema).load("s3a://mybucket/ten_million_parquet.csv")

Big Data 97

Big Data Data Data Storage SQL 97

Pinterest Engineering

JULY 25, 2023

Soam Acharya | Data Engineering Oversight; Keith Regier | Data Privacy Engineering Manager Background Businesses collect many different types of data. The result is a multi-tenant Data Engineering platform, allowing users and services access to only the data they require for their work.

Big Data 98

Big Data Accessibility Accessible Hadoop 98

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. What is it? The downside of this approach is it’s pricing model though.

Data Engineering 98

Data Engineering Data Engineer Engineering BI 98

Seattle Data Guy

APRIL 19, 2024

It’s unavoidable that as businesses demand that their data teams implement AI, they will also realize that data engineers are a crucial piece of the data pipeline.

Data Engineering 130

Data Engineering Data Engineer Engineering Machine Learning 130

Knowledge Hut

JUNE 26, 2023

Welcome to the world of data engineering, where the power of big data unfolds. If you're aspiring to be a data engineer and seeking to showcase your skills or gain hands-on experience, you've landed in the right spot. What are Data Engineering Projects?

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

WeCloudData

FEBRUARY 6, 2025

Data scientists and engineers are two of the most important data professions and it is important to understand the difference between data engineering vs data science.

Data Science 52

Data Science Data Engineering Data Engineer Engineering 52

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? And many more. And many more.

Data Engineering 98

Data Engineering Data Engineer Engineering Hadoop 98

Confessions of a Data Guy

SEPTEMBER 13, 2024

Did you know there are only 3 types of Data Engineers? The post The 3 Types of Data Engineers. appeared first on Confessions of a Data Guy. It’s true. I hope you are the right one.

Data Engineering 100

Data Engineering Data Engineer Engineering Data 100

Data Engineering Podcast

MAY 22, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

Machine Learning 130

Machine Learning Data Engineering Data Engineer Cloud 130

Towards Data Science

JANUARY 26, 2023

Summary In this post we have covered the topic of pulling big data files from cloud storage. We have seen that the best approach will likely vary based on the particular needs of the data application in question. Be sure to run your own in-depth, use-case driven experiments before making any design decisions.

Cloud Storage 98

Cloud Storage Big Data Cloud AWS 98

Towards Data Science

FEBRUARY 9, 2023

This post is for those poor souls that need to scan terabytes of data in BigQuery to calculate some counts, sums, or rolling totals over huge event data on a daily or even at a higher frequency basis. In this post, I will go over a technique for enabling a cheap data injestion and cheap data consumption for “big data”.

Big Data 98

Big Data Raw Data Aggregated Data Data 98

Analytics Vidhya

FEBRUARY 28, 2023

To achieve maximum efficiency, every company strives to use various data at every stage of its operations.

Data Science 290

Data Science Data Preparation Big Data Data 290

Towards Data Science

FEBRUARY 28, 2023

Continue reading on Towards Data Science » Parquet vs ORC vs AVRO vs JSON. Which one to choose and how to use them?

Big Data 98

Big Data Data Science Data Data Lake 98

Analytics Vidhya

FEBRUARY 15, 2023

Introduction BigQuery is a robust data warehousing and analytics solution that allows businesses to store and query large amounts of data in real time. Its importance lies in its ability to handle big data and provide insights that can inform business decisions.

Datasets 206

Datasets Big Data Designing Data Analysis 206

Snowflake

JUNE 20, 2024

In the age of AI, enterprises are increasingly looking to extract value from their data at scale but often find it difficult to establish a scalable data engineering foundation that can process the large amounts of data required to build or improve models.

Data Engineering 111

Data Engineering Data Engineer Scala Engineering 111

Analytics Vidhya

FEBRUARY 2, 2023

Introduction Big data processing is crucial today. Big data analytics and learning help corporations foresee client demands, provide useful recommendations, and more. Hadoop, the Open-Source Software Framework for scalable and scattered computation of massive data sets, makes it easy.

Hadoop 237

Hadoop Big Data Data Analytics Data Process 237

Lyft Engineering

OCTOBER 3, 2023

This delay increased the difficulty and cost of data backfills. The lack of centralization in data quality also made the data discovery process inefficient, making it hard for data scientists and data engineers to identify trustworthy data.

Big Data 90

Big Data Metadata Data Warehouse Data 90