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 152

Big Data Tools Big Data Data Data Engineering 152

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

Seattle Data Guy

JANUARY 17, 2023

What is the state of data infra? 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. Is everyone switching to DuckDB?

Data Engineering 211

Data Engineering Data Engineer Engineering Data 211

Knowledge Hut

MARCH 7, 2024

The year 2024 saw some enthralling changes in volume and variety of data across businesses worldwide. The surge in data generation is only going to continue. Foresighted enterprises are the ones who will be able to leverage this data for maximum profitability through data processing and handling techniques.

Big Data 98

Big Data Bytes Data Governance Raw Data 98

Monte Carlo

AUGUST 27, 2024

Another Big Data London is right around the corner, and we couldn’t be more excited. Coming in hot on September 18-19, Big Data London is easily the UK’s biggest data event of the year. And with an event as rare and prestigious as Big Data London, it’s normal to want to maximize your time.

Big Data 98

Big Data Government Retail Data 98

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

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

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.

Data Science 285

Data Science Data Preparation Big Data Data 285

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

InData Labs

AUGUST 24, 2023

The world is generating an unprecedented amount of data every second. 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 98

Big Data Media Data BI 98

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

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

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

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?

Data Engineering 147

Data Engineering Data Engineer Engineering NoSQL 147

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 310

Big Data Machine Learning Cloud Data Process 310

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

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 Accessible Accessibility Hadoop 98

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

KDnuggets

AUGUST 16, 2024

Explore essential tools and skills for AI engineers: Python, R, big data frameworks, and cloud services essential for building and optimizing AI systems.

Engineering 139

Engineering Big Data Python Cloud 139

LinkedIn Engineering

DECEMBER 19, 2023

Co-authors: Arjun Mohnot , Jenchang Ho , Anthony Quigley , Xing Lin , Anil Alluri , Michael Kuchenbecker LinkedIn operates one of the world’s largest Apache Hadoop big data clusters. Historically, deploying code changes to Hadoop big data clusters has been complex.

Big Data 92

Big Data Hadoop Metadata Data 92

Seattle Data Guy

APRIL 19, 2024

How data is structured, managed and processed will continue to grow in importance as the demand for AI and machine learning increase. 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 Data Pipeline 130

Data Engineering Podcast

MAY 22, 2022

Summary Machine learning has become a meaningful target for data applications, bringing with it an increase in the complexity of orchestrating the entire data flow. With simple pricing, fast networking, object storage, and worldwide data centers, you’ve got everything you need to run a bulletproof data platform.

Machine Learning 130

Machine Learning Data Engineering Data Engineer Cloud 130

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

Lyft Engineering

OCTOBER 3, 2023

High-quality data is necessary for the success of every data-driven company. It is now the norm for tech companies to have a well-developed data platform. This makes it easy for engineers to generate, transform, store, and analyze data at the petabyte scale. What and Where is Data Quality?

Big Data 86

Big Data Metadata Data Warehouse Data 86

KDnuggets

NOVEMBER 28, 2023

This posts talks about what needs to be taken care of in IoV data analysis, and shows the difference between a near real-time analytic platform and an actual real-time analytic platform with a real-world example.

Big Data 144

Big Data Data Analytics Data Analysis Data 144

Cloudera

JULY 30, 2021

Solutions Engineer (SE) working in Australia. . I’ve always wanted to be part of the ‘Big Data Movement’”. Because of this, Vini partners very closely with Support and regularly engages with our Critical Incident and Engineering teams to bring about quick case resolutions. . Solutions Engineer (SE), Cloudera Australia.

Engineering 122

Engineering Professional Services Big Data Data Science 122

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

Christophe Blefari

SEPTEMBER 28, 2023

Make your data stack take-off ( credits ) Hello, another edition of Data News. This week, we're going to take a step back and look at the current state of data platforms. What are the current trends and why are people fighting around the concept of the modern data stack. Is the modern data stack dying?

Big Data 147

Big Data Cloud Storage Hadoop SQL 147

Jesse Anderson

NOVEMBER 14, 2023

A Guest Post by Ole Olesen-Bagneux In this blog post I would like to describe a new data team, that I call ‘the data discovery team’. Data discovery is thought of in different ways in data science and in information science respectfully. In an enterprise data reality, searching for data is a bit of a hassle.

Metadata 147

Metadata Data Science Big Data Data 147

KDnuggets

MAY 19, 2022

Read the best books on Programming, Statistics, Data Engineering, Web Scraping, Data Analytics, Business Intelligence, Data Applications, Data Management, Big Data, and Cloud Architecture.

Data Science 160

Data Science Business Intelligence Big Data Architecture 160

Confessions of a Data Guy

MAY 30, 2024

Of all the duties that Data Engineers take on during the regular humdrum of business and work, it’s usually filled with the same old, same old. Build new pipeline, update pipeline, new data model, fix bug, etc, etc. It’s never-ending.

Building 184

Building Data Warehouse Data Data Engineering 184

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 201

Datasets Big Data Designing Data Analysis 201

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

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 230

Hadoop Big Data Data Analytics Data Process 230

Jesse Anderson

AUGUST 28, 2024

In the spring of 2024, I ran a new survey to gather more data for my Data Teams book and update my 2023 and 2020 surveys. This survey was designed to get information about how management uses data teams, the value they’re creating, and how they’re creating it. We start by asking some questions about each respondent’s data team.

Data 147

Data Consulting Big Data Data 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 Engineering 81

Data Engineering Data Engineer Engineering Data 81