Analytics Vidhya

FEBRUARY 6, 2023

Introduction HDFS (Hadoop Distributed File System) is not a traditional database but a distributed file system designed to store and process big data. It provides high-throughput access to data and is optimized for […] The post A Dive into the Basics of Big Data Storage with HDFS appeared first on Analytics Vidhya.

Data Storage 185

Data Storage Big Data Hadoop Datasets 185

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

Striim

OCTOBER 4, 2024

Join us as we sit down with Joe Reis, live at Big Data LDN (London) 2024. and AWS through his new course on Data Engineering. Joe’s new course promises to elevate your data skills with hands-on exercises that marry foundational knowledge with cutting-edge practices.

Big Data 52

Big Data AWS Data Architecture Certification 52

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 98

Big Data Media Data BI 98

Knowledge Hut

APRIL 23, 2024

Thus, it is no wonder that the origin of big data is a topic many big data professionals like to explore. The historical development of big data, in one form or another, started making news in the 1990s. Magnetic tapes were the next step in data storage.

Big Data 52

Big Data Amazon Web Services Cloud Computing Media 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 118

Big Data Tools Big Data Data Data Engineering 118

Knowledge Hut

APRIL 23, 2024

With the advent of technology and the arrival of modern communications systems, computer science professionals worldwide realized big data size and value. As big data evolves and unravels more technology secrets, it might help users achieve ambitious targets. Top 10 Disadvantages of Big Data 1.

Big Data 52

Big Data Media Government Big Data Skills 52

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

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

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. Apache Spark came in 2009 and gave a unified batch and streaming engine. Apache Flink came in 2011 and gave us our first real streaming engine. We lacked a scalable pub/sub system.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Knowledge Hut

APRIL 25, 2024

One of the industries with the quickest growth rates is big data. It refers to gathering and processing sizable amounts of data to produce insights that may be used by an organization to improve its various facets. You must become familiar with the fundamental elements of big data to comprehend it effectively.

Big Data 52

Big Data Data Analytics Manufacturing Retail 52

Confluent

MARCH 16, 2023

Big data was a core term for any company doing data engineering and analytics. Learn how big data has changed and evolved, leading to the fundamental cloud services of today.

Big Data 64

Big Data Data Data Engineering Data Engineer 64

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

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 70

Big Data Data Data Storage SQL 70

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

Emeritus

NOVEMBER 8, 2022

As you read this, people across the world are texting, posting on social media, and searching on Google, adding to the growing volume of big data. And as big data’s quantity increases so does its significance for companies. Big data has become a pivotal resource to generate information and make insightful decisions.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Lyft Engineering

OCTOBER 3, 2023

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. As such, we have reached a point where the quantity of data is no longer a boundary. Yet this has come at the cost of quality.

Big Data 85

Big Data Metadata Data Warehouse Data 85

Knowledge Hut

MARCH 27, 2024

You can check out the Big Data Certification Online to have an in-depth idea about big data tools and technologies to prepare for a job in the domain. To get your business in the direction you want, you need to choose the right tools for big data analysis based on your business goals, needs, and variety.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

ProjectPro

SEPTEMBER 26, 2021

Big Data Engineer is one of the most popular job profiles in the data industry. This blog on Big Data Engineer salary gives you a clear picture of the salary range according to skills, countries, industries, job titles, etc. Big Data gets over 1.2 What does a big data engineer do?

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

LinkedIn Engineering

JULY 19, 2023

Open source data lakehouse deployments are built on the foundations of compute engines (like Apache Spark, Trino, Apache Flink), distributed storage (HDFS, cloud blob stores), and metadata catalogs / table formats (like Apache Iceberg, Delta, Hudi, Apache Hive Metastore).

Big Data 78

Big Data Data Management Management Metadata 78

Confessions of a Data Guy

SEPTEMBER 24, 2024

I recently wrote on my Substack (Data Engineering Central) about how I used the new OpenAI o1 model to do some basic Data Engineering tasks surrounding PostgreSQL. It did ok.

Software Engineering 113

Software Engineering Software Engineer Coding Engineering 113

Knowledge Hut

DECEMBER 27, 2023

Accessing and storing huge data volumes for analytics was going on for a long time. But ‘big data’ as a concept gained popularity in the early 2000s when Doug Laney, an industry analyst, articulated the definition of big data as the 3Vs. What is Big Data? Some examples of Big Data: 1.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

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 103

Engineering Big Data Python Cloud 103

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

Uber Engineering

MARCH 21, 2024

Discover real-time query analytics and governance with DataCentral: Uber’s big data observability powerhouse, tackling millions of queries in petabyte-scale environments.

Big Data 68

Big Data Government Data 68

Seattle Data Guy

JANUARY 17, 2023

With all the recent data events I have put together I inevitably run into new data engineers who are either finishing up college or looking to transition into a data engineer or data scientist position. In fact I have talked to several newly graduated engineers who are struggling to find work.

Data Engineering 223

Data Engineering Data Engineer Engineering Data 223

Jesse Anderson

SEPTEMBER 14, 2023

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. Even at the height of the big data craze, the general public wasn’t as excited about it. How can we use LLMs in data engineering?

Data Engineering 147

Data Engineering Data Engineer Engineering NoSQL 147

Data Engineering Podcast

JANUARY 21, 2019

Summary Building internal expertise around big data in a large organization is a major competitive advantage. In this episode Jesper Søgaard and Keld Antonsen share the story of starting and growing the big data group at LEGO. My understanding is that the big data group at LEGO is a fairly recent development.

Big Data 100

Big Data Systems Building Hadoop 100

Knowledge Hut

APRIL 23, 2024

Big data has become the ultimate game-changer for organizations in today's data-driven environment. Organizations are utilizing the enormous potential of big data to help them succeed, from consumer insights that enable personalized experiences to operational efficiency that simplifies procedures.

Big Data 52

Big Data Recruitment Retail Transportation 52

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

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

AltexSoft

JUNE 7, 2021

Hadoop and Spark are the two most popular platforms for Big Data processing. They both enable you to deal with huge collections of data no matter its format — from Excel tables to user feedback on websites to images and video files. Which Big Data tasks does Spark solve most effectively? How does it work?

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

Knowledge Hut

DECEMBER 26, 2023

Big Data is a term that has gained popularity recently in the tech community. Larger and more complicated data quantities that are typically more challenging to manage than the typical spreadsheet is described by this idea. We will discuss some of the biggest data companies in this article. What Is a Big Data Company?

Big Data 52

Big Data Unstructured Data Amazon Web Services Hadoop 52

Knowledge Hut

SEPTEMBER 6, 2023

This influx of data is handled by robust big data systems which are capable of processing, storing, and querying data at scale. Consequently, we see a huge demand for big data professionals. In today’s job market data professionals, there are ample great opportunities for skilled data professionals.

Big Data 52

Big Data Certification Hadoop Kafka 52

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 84

Big Data Raw Data Aggregated Data Data 84

Data Engineering Weekly

AUGUST 4, 2024

Try For Free → Editor’s Note: The Data Engineering Evaluation Series For the last two weeks, we met several CDC experts and multiple iterations of preparing the evaluation guide for CDC tools. For a limited time, new sign-ups will receive a complimentary Airflow Fundamentals Certification exam (normally $150).

Data Engineering 80

Data Engineering Data Engineer Engineering Data 80

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