Start Data Engineering

DECEMBER 11, 2022

Data pipeline patterns 3.1. Multi-hop pipelines 3.3.2. Conditional/ Dynamic pipelines 3.3.3. Disconnected data pipelines 4. Source Ordering 2.3. Sink Overwritability 3. Extraction patterns 3.1.1. Time ranged 3.1.2. Full Snapshot 3.1.3. Lookback 3.1.4. Streaming 3.2. Behavioral 3.2.1. Idempotent 3.2.2.

Data Pipeline 195

Data Pipeline Designing Data 195

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 Engineer Data Engineering Data 162

KDnuggets

NOVEMBER 25, 2024

Building data pipelines is a very important skill that you should learn as a data engineer. A data pipeline is just a series of procedures that transport data from one location to another, frequently changing it along the way.

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Data Pipeline Building Transportation Data 131

Start Data Engineering

MAY 13, 2021

What is an idempotent function Pre-requisites Why idempotency matters Making your data pipeline idempotent Conclusion Further reading References What is an idempotent function “Idempotence is the property of certain operations in mathematics and computer science whereby they can be applied multiple times without changing the result beyond the (..)

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Data Pipeline Computer Science Data Data Engineer 147

Start Data Engineering

OCTOBER 12, 2021

Introduction Testing your data pipeline 1. Data quality testing 3. Unit and contract testing Conclusion Further reading Introduction Testing data pipelines are different from testing other applications, like a website backend. End-to-end system testing 2. Monitoring and alerting 4.

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Data Pipeline Data Systems 173

Snowflake

APRIL 17, 2024

This traditional SQL-centric approach often challenged data engineers working in a Python environment, requiring context-switching and limiting the full potential of Python’s rich libraries and frameworks. To get started, explore the comprehensive API documentation , which will guide you through every step.

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Data Pipeline Python Data Engineer Data Engineering 113

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.

Data Pipeline 144

Data Pipeline Scala Metadata Food 144

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 Engineer Data Engineering Data 147

Databand.ai

JUNE 28, 2023

Data Pipeline Observability: A Model For Data Engineers Eitan Chazbani June 29, 2023 Data pipeline observability is your ability to monitor and understand the state of a data pipeline at any time. We believe the world’s data pipelines need better data observability.

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Data Pipeline Data Engineer Data Engineering Engineering 98

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.

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Data Pipeline Building Management Data 144

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 Engineer 189

Data Engineer Data Engineering Engineering Project 189

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.

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Data Engineer Data Engineering Python Engineering 225

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.

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Data Pipeline BI SQL Business Intelligence 130

KDnuggets

AUGUST 28, 2024

Learn how to build and deploy an end-to-end data pipeline using Prefect with a few lines of code.

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Data Pipeline Building Data Coding 120

LinkedIn Engineering

JUNE 26, 2023

However, we've found that this vertical self-service model doesn't work particularly well for data pipelines, which involve wiring together many different systems into end-to-end data flows. Data pipelines power foundational parts of LinkedIn's infrastructure, including replication between data centers.

Data Pipeline 112

Data Pipeline Kafka SQL MySQL 112

Data Engineering Podcast

APRIL 14, 2024

The default association with the term "database" is relational engines, but non-relational engines are also used quite widely. 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.

Non-relational Database 147

Non-relational Database Relational Database Database Designing 147

KDnuggets

SEPTEMBER 5, 2023

Build a streaming data pipeline using Formula 1 data, Python, Kafka, RisingWave as the streaming database, and visualize all the real-time data in Grafana.

Data Pipeline 146

Data Pipeline Kafka Building Python 146

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.

Data Pipeline 130

Data Pipeline Building MongoDB MySQL 130

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 Engineer 162

Data Engineer Data Engineering Engineering Data Pipeline 162

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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Data Pipeline Building Data IT 100

Data Engineering Podcast

FEBRUARY 18, 2024

In this episode Dain Sundstrom, CTO of Starburst, explains how the combination of the Trino query engine and the Iceberg table format offer the ease of use and execution speed of data warehouses with the infinite storage and scalability of data lakes. Data lakes are notoriously complex. Your first 30 days are free!

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Data Lake High Quality Data Data Warehouse Google Cloud 262

Seattle Data Guy

APRIL 19, 2024

It’s unavoidable that as businesses demand that their data teams implement AI, they will also realize that data engineers are a crucial piece of the data pipeline.

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Data Engineer Data Engineering Engineering Data Pipeline 130

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?

Data Engineer 130

Data Engineer Data Engineering Engineering Hadoop 130

Data Engineering Podcast

JUNE 30, 2024

Petr shares his journey from being an engineer to founding Synq, emphasizing the importance of treating data systems with the same rigor as engineering systems. He discusses the challenges and solutions in data reliability, including the need for transparency and ownership in data systems.

Pipeline-centric 147

Pipeline-centric Engineering Data Lake High Quality Data 147

Data Engineering Podcast

MAY 18, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management This episode is supported by Code Comments, an original podcast from Red Hat. Data lakes are notoriously complex. My thanks to the team at Code Comments for their support.

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Building Data Lake High Quality Data Business Intelligence 278

Precisely

DECEMBER 28, 2023

Business success is based on how we use continuously changing data. That’s where streaming data pipelines come into play. This article explores what streaming data pipelines are, how they work, and how to build this data pipeline architecture. What is a streaming data pipeline?

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Data Pipeline Building Kafka Big Data 91

Striim

SEPTEMBER 11, 2024

Data pipelines are the backbone of your business’s data architecture. Implementing a robust and scalable pipeline ensures you can effectively manage, analyze, and organize your growing data. We’ll answer the question, “What are data pipelines?” Table of Contents What are Data Pipelines?

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Data Pipeline Designing Data Lake Data Warehouse 98

databricks

JULY 8, 2024

We are proud to announce two new analyst reports recognizing Databricks in the data engineering and data streaming space: IDC MarketScape: Worldwide Analytic.

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Data Pipeline Process Cloud Data Engineer 137

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 Engineer 111

Data Engineer Data Engineering Engineering Google Cloud 111

Snowflake

JUNE 4, 2024

The rise of AI, for example, will depend on the collaboration between data and development. We’re increasingly seeing software engineering workloads that are deeply intertwined with a strong data foundation. Additionally, Dynamic Tables are a new table type that you can use at every stage of your processing pipeline.

Data Pipeline 105

Data Pipeline Python SQL Government 105

Data Engineering Podcast

NOVEMBER 12, 2023

Generative AI has accelerated the ability of developer tools to provide useful suggestions that speed up the work of engineers. Tabnine is one of the main platforms offering an AI powered assistant for software engineers. Learn more about Datafold by visiting dataengineeringpodcast.com/datafold Data lakes are notoriously complex.

Software Engineer 147

Software Engineer Software Engineering Engineering Data Lake 147

Simon Späti

JUNE 20, 2022

Data consumers, such as data analysts, and business users, care mostly about the production of data assets. On the other hand, data engineers have historically focused on modeling the dependencies between tasks (instead of data assets) with an orchestrator tool. How can we reconcile both worlds?

Data Pipeline 147

Data Pipeline Data Data Engineer Data Engineering 147

Christophe Blefari

MARCH 15, 2024

Cognition AI introduced Devin — Devin is the first AI software engineer, Devin can, unassisted, do software engineering tasks like fixing Github issues (13% of success, previously best was ~5%), apply to jobs on Upwork, train and fine-tune its own models. Arrow doing a lot of the data operation heavy lifting.

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Metadata Datasets Data Data Warehouse 272

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 Engineer 104

Data Engineer Data Engineering Engineering Kafka 104

databricks

JUNE 13, 2024

Today, we are excited to announce Databricks LakeFlow, a new solution that contains everything you need to build and operate production data pipelines.

Data Engineer 144

Data Engineer Data Engineering Engineering Data Pipeline 144

Snowflake

OCTOBER 3, 2023

We are excited to announce the availability of data pipelines replication, which is now in public preview. In the event of an outage, this powerful new capability lets you easily replicate and failover your entire data ingestion and transformations pipelines in Snowflake with minimal downtime.

Data Pipeline 91

Data Pipeline Management Data Ingestion Data 91

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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Data Engineer Data Engineering Engineering Metadata 106