Maxime Beauchemin

AUGUST 28, 2017

This post follows up on The Rise of the Data Engineer , a recent post that was an attempt at defining data engineering and described how this new role relates to historical and modern roles in the data space. In my experience, it’s rare to find any sort of decent dev or test environments in the big data world.

Data Engineering 174

Data Engineering Data Engineer Engineering Software Engineer 174

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.

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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

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.

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Data Science Data Mining Deep Learning Programming Language 98

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

Knowledge Hut

SEPTEMBER 6, 2023

Nowadays, I often hear people saying they aspire to become data scientists or they want to work with data, but they don’t know the path to do so. I myself have faced this problem and data science certifications come as a rescue for this problem. What is Data Science Certification?

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Data Science Certification Business Analyst Machine Learning 97

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?

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Data Engineering Data Engineer Engineering NoSQL 147

Knowledge Hut

DECEMBER 26, 2023

Of course, handling such huge amounts of data and using them to extract data-driven insights for any business is not an easy task; and this is where Data Science comes into the picture. You can execute this by learning data science with python and working on real projects.

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Data Science BI Business Intelligence Machine Learning 97

Knowledge Hut

JANUARY 29, 2024

Some techniques add to the development of technology in the business sectors, including Data Science and Cloud Computing, essential aspects of the technology industry. With the help of data science, one can gather all the critical analyses from vast chunks of data stored in clouds.

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Cloud Computing Data Science Cloud Amazon Web Services 98

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.”

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Big Data Media Data BI 98

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.

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Engineering Professional Services Big Data Data Science 122

Knowledge Hut

JANUARY 18, 2024

Data Science has risen to become one of the world's topmost emerging multidisciplinary approaches in technology. Recruiters are hunting for people with data science knowledge and skills these days. Data Scientists collect, analyze, and interpret large amounts of data. Well, you are at the right place.

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Data Science Business Analyst Data Architect ETL Method 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

Knowledge Hut

JANUARY 18, 2024

Data science is a multidisciplinary field that requires a broad set of skills from mathematics and statistics to programming, machine learning, and data visualization. The world has been swept by the rise of data science and machine learning. It can be daunting for someone new to data science.

Programming Language 98

Programming Language Data Science Programming Java 98

Knowledge Hut

JANUARY 18, 2024

I’ve often noticed that people use terms like Data Science and Artificial Intelligence ( AI ) interchangeably. The key connection between Data Science and AI is data. Understanding  Data Science course eligibility  can help you understand more about Data Science. What is Data Science?

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Data Science Deep Learning Business Analyst Data Mining 98

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 Algorithm 97

Jesse Anderson

NOVEMBER 14, 2023

It’s a team that connects naturally into the constellation of the three data teams Operations team Data engineering team Data Science team as described in Jesse Anderson’s book Data Teams (2020) Before I explain what the data discovery team should do, it is necessary to add a bit of context on the concept of data discovery itself.

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Metadata Data Science Big Data Data 147

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?

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Data Engineering Data Engineer Coding Project 98

Knowledge Hut

JUNE 25, 2024

Many aspiring data scientists are working hard to earn a Certificate in Data Science with Python since Python is widely used in artificial intelligence for robots and voice assistants like Alexa, Siri, and Google Assistant, among others. This is the best-selling programming language data science python handbook in the world.

Data Science 97

Data Science Python Hadoop Media 97

Knowledge Hut

JANUARY 18, 2024

Data science is a multidisciplinary field that requires a broad set of skills from mathematics and statistics to programming, machine learning, and data visualization. The world has been swept by the rise of data science and machine learning. It can be daunting for someone new to data science.

Programming Language 75

Programming Language Data Science Programming Java 75

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”.

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Big Data Raw Data Aggregated Data Data 82

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.

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Big Data Metadata Data Warehouse Data 86

LinkedIn Engineering

OCTOBER 2, 2023

When Javier signed up for a programming course during the pandemic, he had no idea that his career was about to shift from the world of music to data science. Making the leap from music to LinkedIn Engineering with REACH My journey to LinkedIn and passion for coding came from an entirely different background than programming.

Data Science 85

Data Science Machine Learning Algorithm Scala 85

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

AltexSoft

JUNE 29, 2021

This article will focus on the role of a machine learning engineer, their skills and responsibilities, and how they contribute to an AI project’s success. The role of a machine learning engineer in the data science team. The focus here is on engineering, not on building ML algorithms.

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Machine Learning Engineering Algorithm Programming Language 105

Knowledge Hut

DECEMBER 27, 2023

What will be the key skills for a software engineer in 2024? The top software developers stand out from the crowd thanks to their extensive technical skills as software engineers. Thus, to become a highly sought-after software developer, you must increase and update the technical skills required for software engineering.

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Software Engineer Software Engineering Engineering Programming Language 98

Team Data Science

NOVEMBER 10, 2020

Currently, the big buzz about big data is probably apt with the number of technologies and tools available to build products and services. I personally believe once due to this success of big data companies, the hype behind AI has blown out of proportions.

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Big Data Data Science Datasets Data Pipeline 130

AltexSoft

OCTOBER 30, 2021

Was Nikola Tesla a scientist or engineer? These men didn’t stop at scientific research and ended up conceptualizing or engineering their inventions. Engineers are not only the ones bearing helmets and operating on construction sites. Data science vs data engineering. How about Edison? Or Da Vinci?

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Data Engineering Data Engineer Engineering Machine Learning 98

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 76

Big Data Data Science Data Data Lake 76

Christophe Blefari

SEPTEMBER 28, 2023

What are the current trends and why are people fighting around the concept of the modern data stack. Last week it was Big Data London , this week it was Big Data & AI Paris. Let's go through the current state of data to understand what you should do next. I wasn't able to go. Something boring.

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Big Data Cloud Storage Hadoop SQL 147

AltexSoft

MAY 14, 2021

Big Data enjoys the hype around it and for a reason. But the understanding of the essence of Big Data and ways to analyze it is still blurred. This post will draw a full picture of what Big Data analytics is and how it works. Big Data and its main characteristics. Key Big Data characteristics.

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Big Data Data Analytics IT NoSQL 78

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")

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Big Data Data Data Storage SQL 68

Cloudera

MAY 19, 2021

This year, we expanded our partnership with NVIDIA , enabling your data teams to dramatically speed up compute processes for data engineering and data science workloads with no code changes using RAPIDS AI. Feature Engineering. What is RAPIDS. And analysing the results. Register Now. .

Machine Learning 140

Machine Learning Datasets Data Science Raw Data 140

Towards Data Science

FEBRUARY 10, 2024

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

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Data Engineering Data Engineer Engineering Data Science 89

Netflix Tech

JULY 15, 2021

Data Engineers of Netflix?—?Interview Interview with Kevin Wylie This post is part of our “Data Engineers of Netflix” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Kevin, what drew you to data engineering?

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Data Engineering Data Engineer Engineering Entertainment 80

DataKitchen

APRIL 13, 2021

Airflow — An open-source platform to programmatically author, schedule, and monitor data pipelines. DBT (Data Build Tool) — A command-line tool that enables data analysts and engineers to transform data in their warehouse more effectively. Reflow — A system for incremental data processing in the cloud.

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Consulting Machine Learning Data Science Data Pipeline 124

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 94