Data Engineering Podcast

OCTOBER 28, 2021

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

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Data Pipeline SQL Data Warehouse Data Lake 100

Start Data Engineering

JANUARY 12, 2023

Introduction Sample project Code design patterns 1. Functional design 2. Factory pattern 3. Strategy pattern 4. Singleton, & Object pool patterns Python helpers 1. Dataclass 3. Context Managers 4. Testing with pytest 5.

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Designing Coding Python Data Pipeline 147

Data Engineering Podcast

APRIL 19, 2021

Summary Most of the time when you think about a data pipeline or ETL job what comes to mind is a purely mechanistic progression of functions that move data from point A to point B. Sometimes, however, one of those transformations is actually a full-fledged machine learning project in its own right.

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Data Pipeline Machine Learning Data Warehouse Datasets 100

Towards Data Science

MARCH 23, 2024

Data pipelines that would turn you into a decorated data professional Continue reading on Towards Data Science »

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Data Engineering Data Engineer Project Engineering 95

Team Data Science

MAY 10, 2020

I'll use Python and Spark because they are the top 2 requested skills in Toronto. Kafka, while not in the top 5 most in demand skills, was still the most requested buffer technology requested which makes it worthwhile to include it.

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Knowledge Hut

JUNE 26, 2023

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. Get ready to delve into fascinating data engineering project concepts and explore a world of exciting data engineering projects in this article.

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Towards Data Science

APRIL 6, 2023

Today’s post follows the same philosophy: fitting local and cloud pieces together to build a data pipeline. And, when it comes to data engineering solutions, it’s no different: They have databases, ETL tools, streaming platforms, and so on — a set of tools that makes our life easier (as long as you pay for them). not sponsored.

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AWS Data Pipeline Amazon Web Services Python 80

DataKitchen

JANUARY 18, 2023

Any good plumber can give you some hard-won tips on managing data pipelines effectively, insights that might save your career from going down the drain. Green fields smell sweet, and a nice long design phase can give you a rosy view of your project. The post Plumbing Wisdom for Data Pipelines first appeared on DataKitchen.

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Data Engineering Podcast

SEPTEMBER 30, 2019

Summary Building an end-to-end data pipeline for your machine learning projects is a complex task, made more difficult by the variety of ways that you can structure it. In this episode Tom Goldenberg explains how it works, how it is being used at Quantum Black for customer projects, and how it can help you structure your own.

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Data Pipeline Machine Learning Media Data 100

Databand.ai

SEPTEMBER 9, 2022

How to analyze and resolve data pipeline incidents in Databand Niv Sluzki 2022-09-09 13:00:12 A data pipeline failure can cripple your downstream data flows. Whether it failed to start or quit unexpectedly, you need to know immediately if there is a pipeline incident.

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Ascend.io

MARCH 2, 2023

“But we also had over 75 projects orchestrated with Airflow and a combination of tools, cloud services, and bespoke code. This limited the value of analytics for the business, and led to lengthy projects to fill the gaps.” The Ascend team also really partnered with our data team and is teaching us the platform as we go.

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Data Pipeline Media Portfolio Data Ingestion 52

KDnuggets

NOVEMBER 23, 2021

Also: How I Redesigned over 100 ETL into ELT Data Pipelines; Where NLP is heading; Don’t Waste Time Building Your Data Science Network; Data Scientists: How to Sell Your Project and Yourself.

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Data Engineering Podcast

JANUARY 26, 2020

Summary Data pipelines are complicated and business critical pieces of technical infrastructure. With 200Gbit private networking, scalable shared block storage, and a 40Gbit public network, you’ve got everything you need to run a fast, reliable, and bullet-proof data platform.

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Data Pipeline PostgreSQL Media Data Validation 100

ProjectPro

DECEMBER 7, 2021

Data pipelines are a significant part of the big data domain, and every professional working or willing to work in this field must have extensive knowledge of them. Table of Contents What is a Data Pipeline? The Importance of a Data Pipeline What is an ETL Data Pipeline?

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Data Pipeline Architecture Kafka AWS 52

Simon Späti

MARCH 9, 2021

This post focuses on practical data pipelines with examples from web-scraping real-estates, uploading them to S3 with MinIO, Spark and Delta Lake, adding some Data Science magic with Jupyter Notebooks, ingesting into Data Warehouse Apache Druid, visualising dashboards with Superset and managing everything with Dagster.

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Data Engineering Podcast

DECEMBER 16, 2018

As the organization grows and gains more customers, the requirements for that pipeline will change. In this episode Christian Heinzmann, Head of Data Warehousing at Grubhub, discusses the various requirements for data pipelines and how the overall system architecture evolves as more data is being processed.

Data Pipeline 100

Data Pipeline Data Lake Data Warehouse Python 100

Data Engineering Podcast

JUNE 17, 2017

Preamble Hello and welcome to the Data Engineering Podcast, the show about modern data infrastructure When you’re ready to launch your next project you’ll need somewhere to deploy it. Can you start by giving an overview of your pipeline and the type of workload that you are optimizing for?

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Data Pipeline Kafka Business Intelligence Architecture 100

Ascend.io

APRIL 12, 2023

From this research, we developed a framework with a sequence of stages to implement data integrity quickly and measurably via data pipelines. Table of Contents Why does data integrity matter? At every level of a business, individuals must trust the data, so they can confidently make timely decisions. Let’s explore!

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Knowledge Hut

NOVEMBER 2, 2023

Azure Data engineering projects are complicated and require careful planning and effective team participation for a successful completion. While many technologies are available to help data engineers streamline their workflows and guarantee that each aspect meets its objectives, ensuring that everything works properly takes time.

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Data Engineering Data Engineer Coding Project 52

Simon Späti

MARCH 9, 2021

This post focuses on practical data pipelines with examples from web-scraping real-estates, uploading them to S3 with MinIO, Spark and Delta Lake, adding some Data Science magic with Jupyter Notebooks, ingesting into Data Warehouse Apache Druid, visualising dashboards with Superset and managing everything with Dagster.

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Data Engineering Data Engineer Engineering Project 130

KDnuggets

MARCH 17, 2020

As the role of the data engineer continues to grow in the field of data science, so are the many tools being developed to support wrangling all that data. Five of these tools are reviewed here (along with a few bonus tools) that you should pay attention to for your data pipeline work.

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Data Engineering Data Engineer Engineering Project 136

Knowledge Hut

OCTOBER 27, 2023

Organizations can leverage this data to gain insights into their operations, customers, markets, competitors, and more, enabling them to make better decisions, improve efficiency, enhance customer experiences, increase revenue, reduce costs, mitigate risks, and stay ahead of the competition. What are Data Analytics Projects?

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Marc Lamberti

SEPTEMBER 29, 2023

Then you will set up and run your local development environment using the Astro CLI to create your first data pipeline. Concretely, you must create data pipelines to produce valuable data for later analytics or machine learning. To create, schedule, and monitor this kind of data pipeline you need a tool.

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Data Pipeline Python AWS Project 130

KDnuggets

NOVEMBER 23, 2021

Also: How I Redesigned over 100 ETL into ELT Data Pipelines; Where NLP is heading; Don’t Waste Time Building Your Data Science Network; Data Scientists: How to Sell Your Project and Yourself.

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Knowledge Hut

OCTOBER 26, 2023

To help professionals learn cloud computing, create AWS projects, and become job-ready, we provide various Cloud Computing training courses. If you want to gain practical experience that can be added to your profile, working on AWS projects is a great way to achieve your goal. Why You Should Work on AWS Projects?

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AWS Coding Project Cloud Computing 52

Grouparoo

MAY 11, 2021

Start by installing the grouparoo package from NPM globally, moving to whatever folder you want the project to live in, and initiating a new project. the-folder-that-my-grouparoo-project-will-live-in grouparoo init. The way Grouparoo breaks everything down into these manageable pieces makes the whole project manageable.

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Snowflake

APRIL 4, 2024

The Snowflake Data Cloud includes powerful capabilities for transforming data and orchestrating data pipelines, and we partner with best-in-class providers to give customers a choice in the data transformation technologies they use. The Coalesce platform is uniquely built for Snowflake.

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Cloud Management Data Pipeline SQL 104

ProjectPro

JULY 23, 2021

AWS (Amazon Web Services) is the world’s leading and widely used cloud platform, with over 200 fully featured services available from data centers worldwide. This blog presents some of the most unique and innovative AWS projects from beginner to advanced levels. Applications of AWS Projects Why should you work on AWS Projects?

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AWS Project Amazon Web Services Cloud Computing 52

KDnuggets

NOVEMBER 17, 2021

Don’t Waste Time Building Your Data Science Network; 19 Data Science Project Ideas for Beginners; How I Redesigned over 100 ETL into ELT Data Pipelines; Anecdotes from 11 Role Models in Machine Learning; The Ultimate Guide To Different Word Embedding Techniques In NLP.

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know.bi

JUNE 7, 2023

The Apache Beam project released 2.48.0 just in time to be included in the upcoming Apache Hop 2.5.0 release.

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Google Cloud Data Pipeline Cloud Project 52

Christophe Blefari

JUNE 3, 2023

How DoorDash uses XcodeGen to eliminate project merge conflicts — Ok now I don't want to resolve a Git conflit anymore 😅 US researchers developed a LLM-powered Minecraft agent: Voyager. With a few configuration and a CLI you can write data pipelines using hundreds of connectors (using Singer spec).

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Data Engineering Weekly

MAY 3, 2024

We can generate plots and charts directly in the Notebook, making interpreting data easier and explaining it to non-technical stakeholders. Documentation support Notebooks support intuitive code documentation, which allows developers to include explanations, thought processes, analysis conclusions, and project goals.

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Programming Language ETL Tools Data Pipeline Coding 117

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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Towards Data Science

AUGUST 25, 2023

Automatic, scalable, and powerful Continue reading on Towards Data Science »

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Christophe Blefari

APRIL 19, 2024

Fast News ⚡️ Theseus against really big data ( credits ) Principal Engineer — Although staffs and principals have been on the career ladder for a long time, there are very few articles on what it takes to become one of the greats. This article covers the whole ladder and the mix of skills needed to reach the top.

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MySQL Data Datasets SQL 130

Monte Carlo

FEBRUARY 4, 2021

And for many software teams, SLAs are developed for internal projects or users, not just end customers. The best data platform won’t just measure data downtime, but will ultimately help prevent it in the first place through end-to-end data observability — making the highest standards of data reliability attainable for your team.

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Marc Lamberti

OCTOBER 1, 2023

Airflow Sensors are one of the most common tasks in data pipelines. If you want to make complex and robust data pipelines, you have to understand how Sensors work genuinely. Increasing or decreasing this number depends on your resources and the way you share your Airflow instance with other teams, projects, etc.

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