O'Reilly Media - Data

APRIL 11, 2018

It’s important to understand the differences between a data engineer and a data scientist. Misunderstanding or not knowing these differences are making teams fail or underperform with big data. I think some of these misconceptions come from the diagrams that are used to describe data scientists and data engineers.

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TechCrunch

JANUARY 20, 2022

Prophecy , a low-code platform for data engineering, today announced that it has raised a $25 million Series A round led by Insight Partners. “It will read their old data pipelines and automatically write these new data pipelines for the cloud and cloud technologies.

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TechCrunch

NOVEMBER 19, 2020

Data engineering is one of these new disciplines that has gone from buzzword to mission critical in just a few years. As data has exploded, so has their challenge of doing this key work, which is why a new set of tools has arrived to make data engineering easier, faster and better than ever.

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Netflix Tech

JUNE 20, 2024

A summary of sessions at the first Data Engineering Open Forum at Netflix on April 18th, 2024 The Data Engineering Open Forum at Netflix on April 18th, 2024. At Netflix, we aspire to entertain the world, and our data engineering teams play a crucial role in this mission by enabling data-driven decision-making at scale.

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TechCrunch

SEPTEMBER 15, 2022

As long-term partners, we are excited to double down on their goal to be the premier engineered data solutions and AI provider for accelerating digital transformation for enterprises across industries,” said Anandamoy Roychowdhary, principal, Sequoia Southeast Asia, in a prepared statement.

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Cloudera

JULY 13, 2021

After the launch of CDP Data Engineering (CDE) on AWS a few months ago, we are thrilled to announce that CDE, the only cloud-native service purpose built for enterprise data engineers, is now available on Microsoft Azure. . Prerequisites for deploying CDP Data Engineering on Azure can be found here.

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O'Reilly Media - Data

JULY 16, 2018

Get a basic overview of data engineering and then go deeper with recommended resources. As the the data space has matured, data engineering has emerged as a separate and related role that works in concert with data scientists. Continue reading Data engineering: A quick and simple definition.

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TechCrunch

NOVEMBER 11, 2020

Fishtown Analytics , the Philadelphia-based company behind the dbt open-source data engineering tool, today announced that it has raised a $29.5 The company is building a platform that allows data analysts to more easily create and disseminate organizational knowledge.

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Mobilunity

MAY 3, 2024

When it comes to financial technology, data engineers are the most important architects. As fintech continues to change the way standard financial services are done, the data engineer’s job becomes more and more important in shaping the future of the industry.

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Daffodil Software

AUGUST 24, 2022

Artificial Intelligence (AI) and data engineering are closely interlinked. On one hand, making sense of unstructured data is the process known as data science or data engineering.

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Netflix Tech

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty At Netflix, our Membership and Finance Data Engineering team harnesses diverse data related to plans, pricing, membership life cycle, and revenue to fuel analytics, power various dashboards, and make data-informed decisions.

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Cloudera

DECEMBER 21, 2021

Since the release of Cloudera Data Engineering (CDE) more than a year ago , our number one goal was operationalizing Spark pipelines at scale with first class tooling designed to streamline automation and observability. The post Cloudera Data Engineering 2021 Year End Review appeared first on Cloudera Blog.

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Apiumhub

JANUARY 26, 2022

Data engineer roles have gained significant popularity in recent years. Number of studies show that the number of data engineering job listings has increased by 50% over the year. And data science provides us with methods to make use of this data. Who are data engineers?

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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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Altexsoft

JUNE 25, 2019

If we look at the hierarchy of needs in data science implementations, we’ll see that the next step after gathering your data for analysis is data engineering. This discipline is not to be underestimated, as it enables effective data storing and reliable data flow while taking charge of the infrastructure.

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Netflix Tech

OCTOBER 28, 2021

Data Engineers of Netflix?—?Interview Interview with Pallavi Phadnis 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. Pallavi Phadnis is a Senior Software Engineer at Netflix.

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Altexsoft

OCTOBER 30, 2021

If you’re an executive who has a hard time understanding the underlying processes of data science and get confused with terminology, keep reading. We will try to answer your questions and explain how two critical data jobs are different and where they overlap. Data science vs data engineering.

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Trigent

JUNE 20, 2022

To do this, they are constantly looking to partner with experts who can guide them on what to do with that data. This is where data engineering services providers come into play. Data engineering consulting is an inclusive term that encompasses multiple processes and business functions.

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Gorilla Logic

APRIL 27, 2022

Are you a data engineer or seeking to become one? This is the first entry of a series of articles about skills you’ll need in your everyday life as a data engineer. This blog post is for you. So let’s begin with the first and, in my opinion, the most useful tool in your technical tool belt, SQL.

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Perficient

FEBRUARY 13, 2023

Introduction: We often end up creating a problem while working on data. So, here are few best practices for data engineering using snowflake: 1.Transform

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Cloudera

SEPTEMBER 17, 2020

With growing disparate data across everything from edge devices to individual lines of business needing to be consolidated, curated, and delivered for downstream consumption, it’s no wonder that data engineering has become the most in-demand role across businesses — growing at an estimated rate of 50% year over year.

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O'Reilly Media - Data

MAY 24, 2018

In particular, we examined the evolution of key topics covered in this podcast: data science and machine learning, data engineering and architecture, AI, and the impact of each of these areas on businesses and companies. Continue reading The evolution of data science, data engineering, and AI.

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O'Reilly Media - Ideas

APRIL 9, 2019

A few months ago, I wrote about the differences between data engineers and data scientists. An interesting thing happened: the data scientists started pushing back, arguing that they are, in fact, as skilled as data engineers at data engineering. Data engineering is not in the limelight.

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Altexsoft

AUGUST 25, 2020

That’s why a data specialist with big data skills is one of the most sought-after IT candidates. Data Engineering positions have grown by half and they typically require big data skills. Data engineering vs big data engineering. Big data processing. maintaining data pipeline.

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Cloudera

SEPTEMBER 2, 2021

At Cloudera, we introduced Cloudera Data Engineering (CDE) as part of our Enterprise Data Cloud product — Cloudera Data Platform (CDP) — to meet these challenges. The post Optimizing Cloudera Data Engineering Autoscaling Performance appeared first on Cloudera Blog. fixed sized clusters).

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Dataiku

FEBRUARY 9, 2021

While we know that data engineers are very different than data architects — as the latter conceptualize data frameworks and the former build and maintain them — the data engineer function has evolved quite a bit in recent years.

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Dzone - DevOps

NOVEMBER 7, 2023

Databricks is a cloud-based platform designed to simplify the process of building data engineering pipelines and developing machine learning models. It offers a collaborative workspace that enables users to work with data effortlessly, process it at scale, and derive insights rapidly using machine learning and advanced analytics.

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The Programmer's Paradox

OCTOBER 14, 2022

So, the core of data engineering is to be able to craft models for the incoming data that correctly list out the size, frequency, usage, and structure of each different ‘type’ of record. It is way, way more efficient to fix the foundations first, instead of just piling more problems on top. All of them.

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Netflix Tech

JUNE 1, 2021

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

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Netflix Tech

JUNE 1, 2021

Data Engineers of Netflix?—?Interview Interview with Dhevi Rajendran Dhevi Rajendran This post is part of our “Data Engineers of Netflix” interview series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Data Engineers of Netflix?—?Interview

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Cloudera

APRIL 14, 2021

What is Cloudera Data Engineering (CDE) ? Cloudera Data Engineering is a serverless service for Cloudera Data Platform (CDP) that allows you to submit jobs to auto-scaling virtual clusters. Refer to the following cloudera blog to understand the full potential of Cloudera Data Engineering. .

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Erik Bernhardsson

JANUARY 27, 2018

I’m interrupting the regular programming for a quick announcement: we’re looking for data engineers at Better. You would be the first one to join and would work a lot directly with me. Productionize it in the form of a job that posts an updated visualization to Slack every night.

Data Engineering 100

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Erik Bernhardsson

JANUARY 27, 2018

I’m interrupting the regular programming for a quick announcement: we’re looking for data engineers at Better. You would be the first one to join and would work a lot directly with me. Productionize it in the form of a job that posts an updated visualization to Slack every night.

Data Engineering 100

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STX Next

OCTOBER 20, 2023

In today's fast-paced business environment, data has become the lifeblood of modern enterprises, especially in the FinTech sector.

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O'Reilly Media - Data

AUGUST 27, 2018

David Schaaf explains how data science and data engineering can work together to deliver results to decision makers. Continue reading Jupyter notebooks and the intersection of data science and data engineering.

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