Confessions of a Data Guy

MARCH 29, 2024

Have you ever wondered at a high level what it’s like to build production-level data pipelines on Databricks? The post Building Databricks Data Pipelines 101 appeared first on Confessions of a Data Guy. What does it look like, what tools do you use?

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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! In this video, Sr.

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Towards Data Science

NOVEMBER 4, 2023

In this article, I want to talk about crucial things that affect data engineers. We will discuss how to use this knowledge to power advanced analytics pipelines and operational excellence. I’d like to discuss some popular Data engineering questions: Modern data engineering (DE). What is it?

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Monte Carlo

JANUARY 23, 2024

In the world of data engineering, Maxime Beauchemin is someone who needs no introduction. Currently, Maxime is CEO and co-founder of Preset , a fast-growing startup that’s paving the way forward for AI-enabled data visualization for modern companies. Enter, the data engineer. What is a data engineer today?

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Data Engineering Podcast

JULY 2, 2023

In this episode Razi Raziuddin shares how data engineering teams can support the machine learning workflow through the development and support of systems that empower data scientists and ML engineers to build and maintain their own features. How is this distinct from other forms of data pipeline development and delivery?

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Machine Learning Data Engineering Data Engineer Engineering 130

Netflix Tech

DECEMBER 3, 2022

by Jasmine Omeke , Obi-Ike Nwoke , Olek Gorajek Intro This post is for all data practitioners, who are interested in learning about bootstrapping, standardization and automation of batch data pipelines at Netflix. You may remember Dataflow from the post we wrote last year titled Data pipeline asset management with Dataflow.

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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 Podcast

APRIL 21, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Dagster offers a new approach to building and running data platforms and data pipelines. Data lakes are notoriously complex. Go to dataengineeringpodcast.com/dagster today to get started.

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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.

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Data Engineering Data Engineer SQL Engineering 52

Data Engineering Podcast

FEBRUARY 18, 2024

Summary A data lakehouse is intended to combine the benefits of data lakes (cost effective, scalable storage and compute) and data warehouses (user friendly SQL interface). Data lakes are notoriously complex. Visit: dataengineeringpodcast.com/data-council today. Your first 30 days are free!

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Towards Data Science

AUGUST 19, 2023

How I made the transition to an analytics engineer Photo by Campaign Creators on Unsplash A few years ago, I was at a point where I was feeling unfulfilled in my career. I had been working in data engineering for three years and the initial excitement of starting in the world of tech had faded.

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Data Engineering Podcast

SEPTEMBER 11, 2022

Building reliable data pipelines is a complex and costly undertaking with many layered requirements. In order to reduce the amount of time and effort required to build pipelines that power critical insights Manish Jethani co-founded Hevo Data. Data stacks are becoming more and more complex.

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Start Data Engineering

OCTOBER 11, 2021

Leetcode: data structures and algorithms 4. Data modeling 4.1 Data warehousing 4.2 Data pipelines 6. Introduction Skills 1. Distributed system fundamentals 7. Event streaming 8. System design 9. Business questions 10. Cloud computing 11.

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Data Engineering Data Engineer Engineering Cloud Computing 130

Data Engineering Podcast

APRIL 28, 2024

In this episode he explains the data collection and preparation process, the collection of model types and sizes that work together to power the experience, and how to incorporate it into your workflow to act as a second brain. Data lakes are notoriously complex. Go to dataengineeringpodcast.com/dagster today to get started.

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Building Data Lake High Quality Data Machine Learning 130

RandomTrees

FEBRUARY 2, 2024

GPT-based data engineering accelerators make the working of data more accessible. These accelerators use GPT models to do data tasks faster, fix any issues, and save a lot of time. GPT models change data in simple language and also provide summaries and explanations. One can rely on this information.

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Data Engineering Data Engineer Engineering Data Pipeline 52

Knowledge Hut

MAY 3, 2023

With companies increasingly relying on data-driven insights to make informed decisions, there has never been a greater need for skilled specialists who can manage and evaluate vast amounts of data. The roles of data analyst and data engineer have emerged as two of the most in-demand professions in today's job market.

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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 Podcast

APRIL 14, 2024

In this episode Oren Eini, CEO and creator of RavenDB, explores the nuances of relational vs. non-relational engines, and the strategies for designing a non-relational database. Dagster offers a new approach to building and running data platforms and data pipelines. Data lakes are notoriously complex.

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Data Engineering Weekly

OCTOBER 1, 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. What is the data behavior? See how it works today. Dropbox: Is this a date?

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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.

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Data Engineering Data Engineer Engineering Data Governance 52

Knowledge Hut

MARCH 28, 2024

Data engineering is one of them. According to AnalytixLabs , the data science market is expected to be worth USD 230.80 All these numbers point to one thing–increased job roles and careers, especially when we talk about data engineering jobs in Azure, which are on the rise every year. Let’s get started.

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Data Engineering Data Engineer Engineering Data Warehouse 52

Data Engineering Podcast

APRIL 7, 2024

Summary Maintaining a single source of truth for your data is the biggest challenge in data engineering. Different roles and tasks in the business need their own ways to access and analyze the data in the organization. Dagster offers a new approach to building and running data platforms and data pipelines.

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Data Lake High Quality Data BI Data Workflow 162

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. One of the highlights for me in the blog is the next step of ClickHouse adoption; as a believer in bringing “query to the data” rather than “data to query,” I love it.

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Data Engineering Podcast

MARCH 24, 2024

In this episode Pete Hunt, CEO of Dagster labs, outlines these new capabilities, how they reduce the burden on data teams, and the increased collaboration that they enable across teams and business units. Data lakes are notoriously complex. Go to dataengineeringpodcast.com/dagster today to get started. Your first 30 days are free!

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Data Lake High Quality Data Hadoop Data Pipeline 162

Data Engineering Weekly

FEBRUARY 11, 2024

One common thing is that every company produces high-volume data, historically reserved only for big Internet companies. link] Alireza Sadeghi: Open Source Data Engineering Landscape 2024 Popular open-source tools like Airbyte and Snowplow have recently changed their licenses. See: 10 Things I hate about SQL ].

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Data Engineering Data Engineer Engineering SQL 62

Data Engineering Podcast

DECEMBER 24, 2023

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Introducing RudderStack Profiles. 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.

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Data Engineering Podcast

FEBRUARY 6, 2022

In order to make geospatial analytics more maintainable and scalable there has been an increase in the number of database engines that provide extensions to their SQL syntax that supports manipulation of spatial data. Once you’re up and running, your smart data pipelines are resilient to data drift.

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Towards Data Science

FEBRUARY 24, 2023

The Chaos Data-Engineering Manifesto Another lesson we can learn from software engineers: break stuff to make it more reliable. While this idea isn’t completely foreign to data engineering, it can certainly be described as an extremely uncommon practice. Data is different. It’s terrifying. I’m afraid so.

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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. It is great to see an internal tech talk with a series focus on data engineering. Visit rudderstack.com to learn more.

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Data Engineering Data Engineer Engineering Food 67

Towards Data Science

SEPTEMBER 10, 2023

Realities of company and cloud complexities require new levels of control and autonomy to meet business goals at scale Image by Cosmin Paduraru As data teams scale up on the cloud, data platform teams need to ensure the workloads they are responsible for are meeting business objectives. Okay, so what’s the problem?

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Data Engineering Podcast

DECEMBER 26, 2021

Summary Data Engineering is still a relatively new field that is going through a continued evolution as new technologies are introduced and new requirements are understood. In this episode Maxime Beauchemin returns to revisit what it means to be a data engineer and how the role has changed over the past 5 years.

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Data Engineering Data Engineer Engineering Data Warehouse 100

Data Engineering Podcast

MARCH 17, 2024

Validating that the information is stored and processed correctly can be complex and time-consuming, especially when the source and destination speak different dialects of SQL. Data lakes are notoriously complex. Visit dataengineeringpodcast.com/data-council and use code dataengpod20 to register today!

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Towards Data Science

OCTOBER 25, 2023

As a data or analytics engineer, you knew where to find all the transformation logic and models because they were all in the same codebase. You probably work closely with the colleague who builds the data pipeline that you were consuming. There was only one data team, two at most.

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Ascend.io

FEBRUARY 28, 2024

The rise of generative AI is changing more than just technology; it’s reshaping our professional landscapes — and yes, data engineering is directly experiencing the impact. How does AI recalibrate the workload and priorities of data teams? How can data engineers harness the power of AI?

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Knowledge Hut

SEPTEMBER 25, 2023

This demonstrates how in-demand Microsoft Certified Data Engineers are becoming. They are moving their servers and on-premises data to Azure Cloud. What does all of this mean for Data Engineering professionals? Who is an Azure Data Engineer? Azure Data Engineers work with these and other solutions.

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Monte Carlo

JUNE 6, 2023

Generative AI is taking the world by storm – here’s what it means for data engineering and why data observability is critical for this groundbreaking technology to succeed. Simultaneously, those who are proficient will be able to answer their own questions and build data products quicker and more efficiently.

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Data Engineering Data Engineer Engineering Business Intelligence 84

Knowledge Hut

DECEMBER 21, 2023

Data Science is the world's most rapidly growing sector and data engineers are at the forefront. In this article, we will understand the promising data engineer career outlook and what it takes to succeed in this role. What is Data Engineering? What are the Data Engineer Career Opportunities?

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