Confessions of a Data Guy

JULY 24, 2024

We all keep hearing about Arrow this and Arrow that … seems every new tool built today for Data Engineering seems to be at least partly based on Arrow’s in-memory format. So, […] The post PyArrow vs Polars (vs DuckDB) for Data Pipelines. appeared first on Confessions of a Data Guy.

Data Pipeline 162

Data Pipeline Data Engineering Data Engineer Data 162

Data Engineering Weekly

JUNE 24, 2024

Experience Enterprise-Grade Apache Airflow Astro augments Airflow with enterprise-grade features to enhance productivity, meet scalability and availability demands across your data pipelines, and more. Bessemer publishes the Data + AI infrastructure market map to help companies understand the landscape and the key players.

Data Engineering 109

Data Engineering Data Engineer Engineering Google Cloud 109

Data Engineering Weekly

JUNE 10, 2024

Experience Enterprise-Grade Apache Airflow Astro augments Airflow with enterprise-grade features to enhance productivity, meet scalability and availability demands across your data pipelines, and more. As I have shared , its impact on data engineering is exciting.

Data Engineering 103

Data Engineering Data Engineer Engineering Kafka 103

Data Engineering Weekly

JUNE 30, 2024

Experience Enterprise-Grade Apache Airflow Astro augments Airflow with enterprise-grade features to enhance productivity, meet scalability and availability demands across your data pipelines, and more. Engineering jobs saw a 10.42% decline. Learn More → Ozge Demirci, Jonas Hannane & Xinrong Zhu: Who Is AI Replacing?

Data Engineering 102

Data Engineering Data Engineer Engineering Unstructured Data 102

Confessions of a Data Guy

SEPTEMBER 9, 2023

In the vast world of data, it’s not just about gathering and analyzing information anymore; it’s also about ensuring that data pipelines, processes, and platforms run seamlessly and efficiently.

Data Engineering 162

Data Engineering Data Engineer Engineering Data Pipeline 162

Analytics Vidhya

FEBRUARY 6, 2023

Introduction The demand for data to feed machine learning models, data science research, and time-sensitive insights is higher than ever thus, processing the data becomes complex. To make these processes efficient, data pipelines are necessary. appeared first on Analytics Vidhya.

Amazon Web Services 218

Amazon Web Services Data Pipeline Machine Learning Data Science 218

Data Engineering Podcast

JUNE 25, 2023

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management RudderStack helps you build a customer data platform on your warehouse or data lake. Rudderstack]([link] RudderStack provides all your customer data pipelines in one platform.

Data Engineering 225

Data Engineering Data Engineer Python Engineering 225

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!

Data Engineering 105

Data Engineering Data Engineer Engineering Metadata 105

Data Engineering Weekly

NOVEMBER 3, 2024

The blog emphasizes the importance of starting with a clear client focus to avoid over-engineering and ensure user-centric development. Sampling is an obvious strategy for data size, but the layered approach and dynamic inclusion of dependencies are some key techniques I learned with the case study.

Data Engineering 62

Data Engineering Data Engineer Engineering Pipeline-centric 62

Data Engineering Weekly

AUGUST 25, 2024

Take Astro (the fully managed Airflow solution) for a test drive today and unlock a suite of features designed to simplify, optimize, and scale your data pipelines. Try For Free → Conference Alert: Data Engineering for AI/ML This is a virtual conference at the intersection of Data and AI.

Data Engineering 70

Data Engineering Data Engineer Engineering Database-centric 70

Data Engineering Weekly

SEPTEMBER 2, 2024

Take Astro (the fully managed Airflow solution) for a test drive today and unlock a suite of features designed to simplify, optimize, and scale your data pipelines. Try For Free → Conference Alert: Data Engineering for AI/ML This is a virtual conference at the intersection of Data and AI.

Data Engineering 67

Data Engineering Data Engineer Engineering Entertainment 67

Data Engineering Weekly

NOVEMBER 11, 2024

Slack: Empowering Engineers with AI In our most recent internal developer survey, 65% of respondents said they prefer an IDE as the primary platform to engage with generative-AI for development tasks. The blog is an excellent overview of building dynamic data pipelines with Airflow datasets and pub/sub.

Data Engineering 57

Data Engineering Data Engineer Engineering Datasets 57

Data Engineering Weekly

SEPTEMBER 22, 2024

Uber: QueryGPT – Natural Language to SQL Using Generative AI Companies are increasingly adopting the natural language interface to interact with the enterprise data. Dropbox writes a case study on integrating Lakera Guard into their prompt engineering to secure the LLM infrastructure.

Data Engineering 70

Data Engineering Data Engineer Engineering Data Lake 70

Data Engineering Weekly

AUGUST 4, 2024

Take Astro (the fully managed Airflow solution) for a test drive today and unlock a suite of features designed to simplify, optimize, and scale your data pipelines. link] Jason Liu & Eugene Yan: 10 Ways to Be Data Illiterate (and How to Avoid Them) If you ask any executives in an organization, they will say they are data-driven.

Data Engineering 80

Data Engineering Data Engineer Engineering Data 80

Ascend.io

OCTOBER 8, 2024

Data engineering is the backbone of any data-driven organization, responsible for building and maintaining the infrastructure that supports data collection, storage, and analysis. Traditionally, data engineers have focused on the technical aspects of data management, ensuring data pipelines run smoothly and efficiently.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Architecture 52

Data Engineering Podcast

JULY 2, 2023

Summary Feature engineering is a crucial aspect of the machine learning workflow. 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.

Machine Learning 130

Machine Learning Data Engineering Data Engineer Engineering 130

Seattle Data Guy

FEBRUARY 11, 2023

Apache Airflow is a very popular tool that data engineers rely on. Why do data engineers like Airflow? What are… Read more The post What Is Apache Airflow – Data Engineering Consulting appeared first on Seattle Data Guy. Also, what does Apache Airflow event do? What is a DAG?

Consulting 147

Consulting Data Engineering Data Engineer Engineering 147

Data Engineering Weekly

SEPTEMBER 15, 2024

During his keynote, he’ll share his insights into how data and pattern recognition shape the world, build trust, and—sometimes—even help us predict the future. The blog narrates how the lack of neutral guidance or standards leads to ambiguity and the formation of a central team to bring trust in data.

Data Engineering 67

Data Engineering Data Engineer Engineering Data Lake 67

Data Engineering Weekly

OCTOBER 20, 2024

link] Zach Wilson: How GenAI will impact data engineering An excellent overview of the potential impact of GenAI in data engineering workflow that can change the pipeline authoring, shipping pipeline, and maintaining the pipeline. I presume the typescript-to-js conversion helps here.

Data Engineering 52

Data Engineering Data Engineer Engineering Manufacturing 52

Monte Carlo

OCTOBER 31, 2024

One job that has become increasingly popular across enterprise data teams is the role of the AI data engineer. Demand for AI data engineers has grown rapidly in data-driven organizations. But what does an AI data engineer do? Table of Contents What Does an AI Data Engineer Do?

Data Engineering 52

Data Engineering Data Engineer Engineering Unstructured Data 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.

Data Engineering 189

Data Engineering Data Engineer Engineering Project 189

Knowledge Hut

JULY 5, 2024

Large enterprises heavily rely on data for informed decision-making, and this reliance is where data engineers step in. Data engineers like myself play a pivotal role in assessing infrastructure and taking relevant actions. Looking ahead, the future of data engineering appears promising.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Cleanse 52

Data Engineering Weekly

OCTOBER 6, 2024

The learning goes back to the fundamentals of pipeline design principles. Regularly review if pipelines are still required. Minimize the data used in pipelines, aka do incremental data pipeline design. Optimize pipeline schedules. Filter data effectively to make sure the query uses partition pruning.

Data Engineering 62

Data Engineering Data Engineer Engineering Data Warehouse 62

Ascend.io

NOVEMBER 14, 2024

Why Future-Proofing Your Data Pipelines Matters Data has become the backbone of decision-making in businesses across the globe. The ability to harness and analyze data effectively can make or break a company’s competitive edge. Resilience and adaptability are the cornerstones of a future-proof data pipeline.

Data Pipeline 52

Data Pipeline Amazon Web Services Data Integration Data 52

Start Data Engineering

OCTOBER 12, 2021

Introduction Responsibilities of a data engineer 1. Move data between systems 2. Manage data warehouse 3. Schedule, execute, and monitor data pipelines 4. Serve data to the end-users 5. Data strategy for the company 6.

Data Engineering 130

Data Engineering Data Engineer Engineering Data Warehouse 130

Data Engineering Podcast

AUGUST 13, 2023

Summary Data pipelines are the core of every data product, ML model, and business intelligence dashboard. The folks at Rivery distilled the seven principles of modern data pipelines that will help you stay out of trouble and be productive with your data.

Data Pipeline 130

Data Pipeline BI SQL Business Intelligence 130

Data Engineering Weekly

MAY 26, 2024

[link] Meta: Composable data management at Meta Meta writes about its transition to a composable data management system to improve interoperability, reusability, and engineering efficiency. It is a long standing question on people wondering In what situations should you use SQL instead of Pandas as a data scientist?

Data Engineering 76

Data Engineering Data Engineer Engineering Google Cloud 76

Data Engineering Podcast

JUNE 4, 2023

Summary A significant portion of the time spent by data engineering teams is on managing the workflows and operations of their pipelines. Agile Data Engine is a platform designed to handle the infrastructure side of the DataOps equation, as well as providing the insights that you need to manage the human side of the workflow.

Data Engineering 130

Data Engineering Data Engineer Engineering Data Lake 130

Data Engineering Weekly

JUNE 16, 2024

Experience Enterprise-Grade Apache Airflow Astro augments Airflow with enterprise-grade features to enhance productivity, meet scalability and availability demands across your data pipelines, and more. Unity Catalog's source code is available on GitHub, and people have already conducted exciting experiments with it.

Data Engineering 104

Data Engineering Data Engineer Engineering Kafka 104

Analytics Vidhya

SEPTEMBER 12, 2024

Introduction Imagine yourself as a data professional tasked with creating an efficient data pipeline to streamline processes and generate real-time information. Sounds challenging, right? That’s where Mage AI comes in to ensure that the lenders operating online gain a competitive edge.

Data Pipeline 144

Data Pipeline Building Management Data 144

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.

Data Engineering 81

Data Engineering Data Engineer Engineering Data Warehouse 81

Start Data Engineering

FEBRUARY 22, 2024

Data Pipeline Logging Best Practices 3.1. Metadata: Information about pipeline runs, & data flowing through your pipeline 3.2. Introduction 2. Setup & Logging architecture 3. Obtain visibility into the code’s execution sequence using text logs 3.3. Understand resource usage by tracking Metrics 3.4.

Metadata 130

Metadata Data Engineering Data Engineer Engineering 130

Towards Data Science

NOVEMBER 20, 2024

It is worth mentioning that this article comes from an Electrical and Electronic Engineer graduate who went all the way and spent almost 8 years in academia learning about the Energy sector (and when I say all the way, I mean from a bachelor degree to a PhD and postdoc). Similarly, data engineering positions have seen a 98% increase.

Data Engineering 40

Data Engineering Data Engineer Engineering Electronics 40

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.

Data Engineering 126

Data Engineering Data Engineer Engineering Pipeline-centric 126

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.

Data Pipeline 104

Data Pipeline Data Engineering Data Engineer Engineering 104

Start Data Engineering

APRIL 8, 2021

Understand the current state of the data pipeline 1. Timelines & deliverables Deliver iteratively Conclusion Further reading References Introduction As data engineers, you will have to re-engineer legacy data pipelines. While re-engineering data pipelines, if you have struggled with

Data Pipeline 130

Data Pipeline Engineering Data Engineering Data Engineer 130

Confessions of a Data Guy

JANUARY 13, 2023

Rust has been on my mind a lot lately, probably because of Data Engineering boredom, watching Spark clusters chug along like some medieval farm worker endlessly trudging through the muck and mire of life. appeared first on Confessions of a Data Guy.

Data Pipeline 147

Data Pipeline Data Engineering Data Engineer Data 147