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?

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Monte Carlo

DECEMBER 27, 2022

It definitely holds true for our Data Downtime blog with these five articles driving a majority of our traffic in 2022. The 5 Pillars You Need To Know Is the Modern Data Warehouse Broken? What is Data Observability? Is the Modern Data Warehouse Broken? The titular pun might have helped too… Read more.

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Knowledge Hut

FEBRUARY 16, 2023

Demand for data engineers is at a peak today globally due to the massive amount of data that companies accumulate and work with this data to draw actionable insights and make better business decisions. To do that, the generated data must be interpreted to be understood by the end user. What Does a Data Engineer Do?

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ProjectPro

FEBRUARY 16, 2023

The demand for skilled data engineers who can build, maintain, and optimize large data infrastructures does not seem to slow down any sooner. At the heart of these data engineering skills lies SQL that helps data engineers manage and manipulate large amounts of data. use SQL, compared to 61.7%

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Christophe Blefari

FEBRUARY 24, 2023

Data engineering team moving data manually ( credits ) Dear readers, I hope you had a great week. This is something I struggle with, I really like writing, I really like this newsletter, I really like the blog, but it takes me one day per week to be done. Hubert tries to explain stuff in the real-time category.

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Silectis

FEBRUARY 17, 2021

In this blog post, we’ll walk you through how data science and data engineering are complementary disciplines. We’ll also delineate a third category: data analysis. We’ll explore how both data engineering and data science should be marshaled to make better decisions.

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ProjectPro

FEBRUARY 21, 2023

With so many data engineering certifications available , choosing the right one can be a daunting task. There are over 133K data engineer job openings in the US, but how will you stand out in such a crowded job market? The answer is- by earning professional data engineering certifications! AWS or Azure?

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Data Engineering Podcast

SEPTEMBER 4, 2022

Summary Data observability is a product category that has seen massive growth and adoption in recent years. Monte Carlo is in the vanguard of companies who have been enabling data teams to observe and understand their complex data systems. The only thing worse than having bad data is not knowing that you have it.

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Christophe Blefari

MARCH 17, 2023

It also means that if you have any questions that you want me to ask you can send them to me beforehand 🫠 Gen AI 🤖 I will create a specific category for generative AI. Data with Rust — This is a handbook that will showcase how to work in data engineering with Rust.

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Cloudera

APRIL 24, 2023

To this six-part series, where we’ll look at how to get control of the health of your Cloudera Data platform (CDP) environment. With each blog we’ll outline the symptoms and root causes of common environmental health challenges and prescribe solutions. That’s observability. If you’ve got the symptoms, the doctors are in.

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Cloudera

JANUARY 12, 2018

I mentioned in an earlier blog titled, “Staffing your big data team, ” that data engineers are critical to a successful data journey. That said, most companies that are early in their journey lack a dedicated engineering group. Image 1: Data Engineering Skillsets.

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Christophe Blefari

DECEMBER 3, 2022

Joe Reis launched his Substack — Joe is the co-author of the great The Fundamentals of Data Engineering and his blog already have 2 articles I deeply recommend: No extra credit for complexity & Groundhog Days. This post tries to show how data team should work with finance team to avoid this spat.

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Data Engineering Weekly

MARCH 30, 2023

In this episode of Data Engineering Weekly Radio, we delve into modern data stacks under pressure and the potential consolidation of the data industry. Overall, we emphasized the importance of unifying user experiences and blurring the lines between individual categories in the data infrastructure landscape.

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Knowledge Hut

APRIL 25, 2024

It is especially true in the world of big data. If you want to stay ahead of the curve, you need to be aware of the top big data technologies that will be popular in 2024. In this blog post, we will discuss such technologies. The two most popular data warehouse systems are Teradata and Oracle Exadata.

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Databand.ai

AUGUST 30, 2023

Data testing tools: Key capabilities you should know Helen Soloveichik August 30, 2023 Data testing tools are software applications designed to assist data engineers and other professionals in validating, analyzing and maintaining data quality. There are several types of data testing tools.

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Cloudera

FEBRUARY 15, 2023

Snatching victory from the jaws of defeat Amogh and his fellow hackathon team members felt the rush of victory after winning Cloudera’s 2022 global hackathon in the product development category. Amogh has the unique experience of working on CDP Data Engineering during his internship. One way he does this is through blog writing.

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ProjectPro

JUNE 9, 2021

This blog on Data Science vs. Data Engineering presents a detailed comparison between the two domains. vs. What does a Data Engineer do? Are you a Data Scientist or a Data Engineer? Is data engineering more important than data science?

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Christophe Blefari

JULY 3, 2023

💡 If you want another view on both the conferences Ananth from Data Engineering Weekly wrote about the conferences extravaganza and a few trends he wanted to chat about. This is their way to democratise data to every employee. Also you might know Mode through Benn Stancil blog. Inflection AI raises $1.3b

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Databand.ai

AUGUST 30, 2023

Data Testing Tools: Key Capabilities and 6 Tools You Should Know Helen Soloveichik August 30, 2023 What Are Data Testing Tools? Data testing tools are software applications designed to assist data engineers and other professionals in validating, analyzing, and maintaining data quality.

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Data Engineering Weekly

MAY 16, 2023

In the second part, we will focus on architectural patterns to implement data quality from a data contract perspective. Why is Data Quality Expensive? I won’t bore you with the importance of data quality in the blog. Let’s talk about the data processing types.

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Monte Carlo

DECEMBER 27, 2022

In fact, the first blog post I published on Medium sat as a draft for months. Data downtime , anyone?) Prior to launching Monte Carlo, I interviewed hundreds of data leaders. In fact, their perspectives, experience, and encouragement are the reasons Monte Carlo and the data observability category exist today.

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Knowledge Hut

JULY 28, 2023

If you are new to this domain and wanted to learn how to label data for machine learning problems, then you’ve landed on the right page. Here we shall discuss all the essentials around data labelling. What is Data Labeling for Machine Learning? It is the most used labeling type. Say you want to build a pet classifier.

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Data Science Blog: Data Engineering

SEPTEMBER 24, 2021

In this series of articles I would like to explain what a data warehouse actually is and how it is set up. However, I would also like to explain basic topics regarding Data Engineering and concepts about databases and data flows.

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Cloudera

DECEMBER 21, 2020

In this blog we will take you through a persona-based data adventure, with short demos attached, to show you the A-Z data worker workflow expedited and made easier through self-service, seamless integration, and cloud-native technologies. In our data adventure we assume the following: . The Data Scientist.

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phData: Data Engineering

JULY 12, 2022

Within data engineering , one of the most frequent tasks is modeling data into data marts and data products. Traditionally, if a company wanted to model some data, there were two types of resources available that could accomplish this: data engineers or data analysts.

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Datakin

SEPTEMBER 2, 2021

Blog Data Quality + Data Lineage = Written by Peter Hicks on Sep 2, 2021 In a prior life, I dwelled in the day-to-day cycles of an e-commerce platform. We had both an application engineering team and a data team consuming our data and building dashboards at various cadences and informing business decisions at large.

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DataKitchen

JULY 12, 2023

Customers are asking for new data, people need questions answered, and the tech stack is barely running – data engineers don’t have time to create tests. They have a backlog full of new customer features or data requests, and they go to work every day knowing that they won’t and can’t meet customer expectations.

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LinkedIn Engineering

OCTOBER 19, 2023

The LinkedIn engineering team has open-sourced over 75 projects across multiple categories, with several gaining widespread adoption and becoming part of the Apache Software Foundation. More details about this use case can be found on LinkedIn’s engineering blog. hours to 25 minutes).

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ProjectPro

FEBRUARY 16, 2023

While both BI and AI provide data-driven insights, they differ in how they help businesses gain a competitive edge in the data-driven marketplace. The blog will also guide you through how combining AI and BI will help improve business solutions. So, let’s understand the difference between both based on such parameters.

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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.

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Rockset

SEPTEMBER 8, 2021

In the community, we’ll be sharing topics related to product releases, blogs, events, memes, and more. We’ll also have our engineering team actively monitoring the forums from 9am PT - 5pm PT, where support questions will be answered within minutes, as they were in Live Chat. He's always sharing helpful tidbits about data engineering

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Rockset

SEPTEMBER 2, 2022

Prabhu has also worked in search and data engineering roles at Twitter, Google, and Microsoft. Before Facebook, Garg was Head of Platform and Infrastructure at Quora, where he supported a team of 40 engineers and managers and was responsible for all technical efforts and metrics. View the blog summary and video here.

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Knowledge Hut

JULY 4, 2023

The rising demand for data analysts along with the increasing salary potential of these roles is making this an increasingly attractive field. But which are the highest-paying data analytics jobs available? This blog lists some of the most lucrative positions for aspiring data analysts. Build data systems and pipelines.

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Knowledge Hut

JANUARY 22, 2024

Cloud Computing Cloud computing courses focus on deploying and managing big data platforms like Hadoop, Spark, Kafka etc on cloud infrastructure. Students learn skills to build data pipelines, query data lakes and develop cloud-native applications using services from AWS, Azure and Google Cloud.

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Confluent

FEBRUARY 6, 2019

The blog posts How to Build and Deploy Scalable Machine Learning in Production with Apache Kafka and Using Apache Kafka to Drive Cutting-Edge Machine Learning describe the benefits of leveraging the Apache Kafka ® ecosystem as a central, scalable and mission-critical nervous system. For now, we’ll focus on Kafka.

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Cloudera

JULY 24, 2023

data engineering pipelines, machine learning models). The Challenges of DIY Open Source Analytics Platforms appeared first on Cloudera Blog. If you would like to learn more about the advanced capabilities of CDP, check out a quick overview of the platform , or contact Cloudera for a discussion tailored to your situations.

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Data Science Blog: Data Engineering

AUGUST 14, 2022

We rely on the best minds and the most comprehensive method and technology portfolio for the use of data for business optimization. The post 6 Steps of Process Mining – Infographic appeared first on Data Science Blog (English only).

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