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?

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LinkedIn Engineering

JANUARY 19, 2024

Data consistency, feature reliability, processing scalability, and end-to-end observability are key drivers to ensuring business as usual (zero disruptions) and a cohesive customer experience. With our new data processing framework, we were able to observe a multitude of benefits, including 99.9%

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Netflix Tech

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty In the inaugural blog post of this series, we introduced you to the state of our pipelines before Psyberg and the challenges with incremental processing that led us to create the Psyberg framework within Netflix’s Membership and Finance data engineering team.

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Netflix Tech

DECEMBER 14, 2023

Engineers from across the company came together to share best practices on everything from Data Processing Patterns to Building Reliable Data Pipelines. The result was a series of talks which we are now sharing with the rest of the Data Engineering community!

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Tweag

APRIL 26, 2023

Moreover, these steps can be combined in different ways, perhaps omitting some or changing the order of others, producing different data processing pipelines tailored to a particular task at hand.

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Towards Data Science

NOVEMBER 16, 2023

Data Management A tutorial on how to use VDK to perform batch data processing Photo by Mika Baumeister on Unsplash Versatile Data Ki t (VDK) is an open-source data ingestion and processing framework designed to simplify data management complexities. The following figure shows a snapshot of VDK UI.

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Towards Data Science

NOVEMBER 4, 2023

Platform Specific Tools and Advanced Techniques Photo by Christopher Burns on Unsplash The modern data ecosystem keeps evolving and new data tools emerge now and then. In this article, I want to talk about crucial things that affect data engineers. It was created by Spotify to manage massive data processing workloads.

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Data Engineering Data Engineer Engineering BI 85

Data Engineering Weekly

MAY 5, 2024

[link] Uber: From Predictive to Generative – How Michelangelo Accelerates Uber’s AI Journey Constantly adopting and implementing tech advancement with an existing system indicates efficient engineering. Uber wrote an in-depth article about the evolution of its centralized ML platform, Michelangelo.

Data Engineering 67

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Data Engineering Podcast

SEPTEMBER 24, 2021

In this episode Ehsan Totoni explains how he built the Bodo project to bring the speed and processing power of HPC techniques to the Python data ecosystem without requiring any re-work. Atlan is a collaborative workspace for data-driven teams, like Github for engineering or Figma for design teams. Missing data?

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Data Process Python Process Data Lake 100

Knowledge Hut

JANUARY 18, 2024

“Big data Analytics” is a phrase that was coined to refer to amounts of datasets that are so large traditional data processing software simply can’t manage them. For example, big data is used to pick out trends in economics, and those trends and patterns are used to predict what will happen in the future.

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Data Engineering Weekly

JANUARY 28, 2024

I had a chance to meet some of the amazing humans of data engineering. The article narrates various stages, including business intelligence, data platform, event-bus backbone, and machine learning, leading to decentralizing data engineering expertise and code.

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Data Engineering Data Engineer Engineering AWS 57

Data Engineering Weekly

APRIL 28, 2024

Intuit: The Data Mesh Strategy Behind Intuit’s Global Financial Technology Platform The Data Product Builder platform is becoming increasingly important in enterprise data engineering. It offers more targeted and customized data asset building than the general-purpose data stack.

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Data Engineering Podcast

JANUARY 30, 2022

As a result it has become a standard tool for data engineers for a wide range of applications. Matt Harrison is a Python expert with a long history of working with data who now spends his time on consulting and training. What are the main tasks that you have seen Pandas used for in a data engineering context?

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DataKitchen

NOVEMBER 4, 2021

The typical pharmaceutical organization faces many challenges which slow down the data team: Raw, barely integrated data sets require engineers to perform manual , repetitive, error-prone work to create analyst-ready data sets. Cloud computing has made it much easier to integrate data sets, but that’s only the beginning.

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Data Engineering Weekly

FEBRUARY 18, 2024

Our hope is only with the amazing community of data practitioners who constantly support us. One thing I learned while writing Data Engineering Weekly is that persistence and consistency are the keys to success. link] Sponsored: Data modeling and exploration in Playground 2.0 Elevate your data skills!

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Data Engineering Data Engineer Engineering Data 62

Data Engineering Weekly

DECEMBER 18, 2023

Lorin Hochstein: “Human error” means they don’t understand how the system worked The post is not directly related to Data Engineering but system operations in general. I included this post because I often see high-pitched LinkedIn posts stating it is the human fault, especially around data quality issues.

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Data Engineering Data Engineer Engineering Food 67

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. Let’s dive in! Psyberg: The Game Changer!

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Data Engineering Data Engineer Engineering Metadata 105

Towards Data Science

FEBRUARY 12, 2024

Let’s learn what… Continue reading on Towards Data Science » In this first article, we’re exploring Apache Beam, from a simple pipeline to a more complicated one, using GCP Dataflow.

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Data Engineering Weekly

DECEMBER 3, 2023

link] Microsoft: Generative AI for Beginners Understanding Gen-AI becomes a mandatory skill for application developers and data engineers. We made the decision that we could no longer rely on enforcement to scale data quality at Airbnb, and we instead needed to rely on the incentivization of both the data producer and consumer.

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Data Engineering Data Engineer Engineering Bytes 70

Data Engineering Weekly

FEBRUARY 25, 2024

Are you ready to take Europe's data engineering scene to the next level? If you want to shape the future of data in Europe, join our core working group. They opted for GitHub Copilot, emphasizing a thorough evaluation process, cross-functional collaboration, and extensive trials to address potential risks and gather feedback.

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Data Engineering Data Engineer Engineering Kafka 62

AltexSoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics.

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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.

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Data Engineering Weekly

SEPTEMBER 24, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack Profiles takes the SaaS guesswork and SQL grunt work out of building complete customer profiles so you can quickly ship actionable, enriched data to every downstream team. See how it works today. link] Leo Godin: Are You Using Elementary for DBT?

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Data Engineering Data Engineer Engineering Kafka 67

Knowledge Hut

MARCH 15, 2024

At the same time, it has opened up a wealth of opportunities for data engineers. With businesses harnessing the power of Azure’s services, the need for skilled data engineers has topped the charts. Speaking from experience, the data engineers in this role are right in the thick of it all.

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Data Engineering Data Engineer Engineering Data Governance 52

Data Engineering Podcast

NOVEMBER 27, 2022

In this episode Wes McKinney shares the ways that Arrow and its related projects are improving the efficiency of data systems and driving their next stage of evolution. Missing data? Data engineers struggling with unreliable data need look no further than Monte Carlo, the leading end-to-end Data Observability Platform!

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Data Process Process Metadata Business Intelligence 100

Striim

NOVEMBER 17, 2023

Real-time data processing in the world of machine learning allows data scientists and engineers to focus on model development and monitoring. Here’s the SQL query for this transformation: SELECT * FROM pg_output_ml SELECT * FROM pg_output_ml MODIFY(data[1] = CASE WHEN data[1] IS NULL THEN TO_FLOAT(0.0)

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Knowledge Hut

MARCH 20, 2024

At the same time, it has opened up a wealth of opportunities for data engineers. With businesses harnessing the power of Azure’s services, the need for skilled data engineers has topped the charts. Speaking from experience, the data engineers in this role are right in the thick of it all.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

Data Engineering Podcast

FEBRUARY 20, 2022

Summary Python has grown to be one of the top languages used for all aspects of data, from collection and cleaning, to analysis and machine learning. Atlan is a collaborative workspace for data-driven teams, like Github for engineering or Figma for design teams. for abstracting over the execution engine?

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Team Data Science

DECEMBER 17, 2020

Even then, developing a team to successfully manage AI tasks is essential to tackle any challenges faced by organizations as regard data. While studies over the last few years have shown that data engineering, a vital phase forward to Data Science and AI, it is still a phase that many businesses completely skip, misunderstand, or neglect.

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KDnuggets

AUGUST 21, 2023

A comprehensive comparison between OLAP and OLTP systems, exploring their features, data models, performance needs, and use cases in data engineering.

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Systems Data Process Process Data 66

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 Weekly

DECEMBER 25, 2023

Welcome to another insightful edition of Data Engineering Weekly. As we approach the end of 2023, it's an opportune time to reflect on the key trends and developments that have shaped the field of data engineering this year. The future of MDS remains a subject of keen interest as we move into 2024.

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Data Engineering Data Engineer Engineering Unstructured Data 52

Towards Data Science

DECEMBER 4, 2023

A Glossary with Use Cases for First-Timers in Data Engineering An happy Data Engineer at work Are you a data engineering rookie interested in knowing more about modern data infrastructures? In this guide Data Engineering meets Formula 1. I bet you are, this article is for you!

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Data Engineering Weekly

JULY 30, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack Profiles takes the SaaS guesswork and SQL grunt work out of building complete customer profiles, so you can quickly ship actionable, enriched data to every downstream team. We handle Petabytes of data!!! All our data is in S3!!! If you’re a.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Data Engineering Weekly

MAY 16, 2023

Architectural Patterns for Data Quality Now we understand the trade-off between speed & correctness and the difference between data testing and observability. Let’s talk about the data processing types. Two-Phase WAP The Two-Phase WAP, as the name suggests, follows two copy processes.

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Data Engineering Weekly

SEPTEMBER 11, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack Profiles takes the SaaS guesswork and SQL grunt work out of building complete customer profiles so you can quickly ship actionable, enriched data to every downstream team. See how it works today. You can see that DuckDB throws OOM in a few benchmarks.

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Data Engineering Data Engineer Engineering Kafka 62

DoorDash Engineering

NOVEMBER 21, 2022

While building out DashMart’s internal inventory management system to help DashMart associates manage inventory, the DashMart engineering team came to realize that since the inventory tables were so core and foundational to different operational use cases in a DashMart, some actions or code must be triggered every time the inventory level changes.

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