Analytics Vidhya

APRIL 3, 2023

Real-time dashboards such as GCP provide strong data visualization and actionable information for decision-makers. Nevertheless, setting up a streaming data pipeline to power such dashboards may […] The post Data Engineering for Streaming Data on GCP appeared first on Analytics Vidhya.

Data Engineer 251

Data Engineer Data Engineering Engineering Data 251

Analytics Vidhya

NOVEMBER 8, 2023

In the data-driven world […] The post Monitoring Data Quality for Your Big Data Pipelines Made Easy appeared first on Analytics Vidhya. Determine success by the precision of your charts, the equipment’s dependability, and your crew’s expertise. A single mistake, glitch, or slip-up could endanger the trip.

Big Data 246

Big Data Data Pipeline Data IT 246

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

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

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

Analytics Vidhya

FEBRUARY 19, 2023

Introduction Data pipelines play a critical role in the processing and management of data in modern organizations. A well-designed data pipeline can help organizations extract valuable insights from their data, automate tedious manual processes, and ensure the accuracy of data processing.

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Data Pipeline Data Designing Data Process 197

Cloudera

NOVEMBER 21, 2024

As advanced analytics and AI continue to drive enterprise strategy, leaders are tasked with building flexible, resilient data pipelines that accelerate trusted insights. A New Level of Productivity with Remote Access The new Cloudera Data Engineering 1.23 Why Cloudera Data Engineering?

Pipeline-centric 66

Pipeline-centric Data Engineer Data Engineering Engineering 66

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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Data Engineer Data Engineering Engineering Hadoop 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 Engineer Data Engineering Data 147

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

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

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 103

Data Engineer Data Engineering Engineering Kafka 103

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 (..)

Data Pipeline 148

Data Pipeline Computer Science Data Data Engineer 148

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. Should we term this as an AI product curve of disappointment ?

Data Engineer 109

Data Engineer Data Engineering Engineering Google Cloud 109

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.

Data Engineer 105

Data Engineer Data Engineering Engineering Metadata 105

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. It is a good reminder to the data industry that we need to solve the fundamentals of data engineering to utilize AI better.

Data Engineer 102

Data Engineer Data Engineering Engineering Unstructured Data 102

Monte Carlo

NOVEMBER 22, 2024

Your data engineering pipeline started simple: a few CSV exports, some Python scripts, and manual updates every week. You’re left wondering if there’s a breaking point where your DIY data solution won’t cut it anymore—and honestly, you might be there already. It means you’re scaling!

Data Engineer 52

Data Engineer Data Engineering Building Engineering 52

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 Engineer 225

Data Engineer Data Engineering Python Engineering 225

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 Engineer Data Engineering Engineering 104

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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Data Pipeline Scala Metadata Food 144

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 Engineer 61

Data Engineer Data Engineering Engineering Electronics 61

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 Engineer 52

Data Engineer Data Engineering Engineering Unstructured Data 52

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 Engineer 67

Data Engineer Data Engineering Engineering Entertainment 67

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 Engineer 70

Data Engineer Data Engineering Engineering Database-centric 70

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 Engineer Data Engineering Engineering Project 189

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 83

Data Engineering Weekly

NOVEMBER 3, 2024

Data Engineering Weekly readers get 15% discount by registering the following link, [link] Gustavo Akashi: Building data pipelines effortlessly with a DAG Builder for Apache Airflow Every code-first data workflow grew into a UI-based or Yaml-based workflow.

Data Engineer 62

Data Engineer Data Engineering Engineering Pipeline-centric 62

Hevo

SEPTEMBER 11, 2024

A Data Pipeline is an indispensable part of a data engineering workflow. It enables the extraction, transformation, and storage of data across disparate data sources and ensures that the right data is available at the right time.

Data Pipeline 40

Data Pipeline Python Coding Data Engineer 40

Start Data Engineering

DECEMBER 12, 2021

Introduction If you are building data pipelines from the ground up, the number of available data engineering tools to choose from can be overwhelming. Components 4. Choosing tools 4.1 Requirement x Component framework 4.2 Conclusion 6. Further reading 1.

Data Pipeline 130

Data Pipeline Data Engineer Data Engineering Data 130

Data Engineering Weekly

NOVEMBER 11, 2024

dbt’s Jinja templating and non-deterministic macros Elimination of YAML Plan-Apply workflow [link] Astrafy: Dynamic Data Pipelines with Airflow Datasets and Pub/Sub Airflow is increasing support for data-aware scheduling as it takes a more prominent role in the upcoming releases.

Data Engineer 57

Data Engineer Data Engineering Engineering Datasets 57

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 Engineer 52

Data Engineer Data Engineering Engineering Data Architecture 52

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 89

Data Pipeline Management Data Ingestion Data 89

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?

Machine Learning 130

Machine Learning Data Engineer Data Engineering Engineering 130

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. link] Sponsored: IMPACT - Have you seen the agenda for IMPACT: The Data Observability Summit yet?

Data Engineer 70

Data Engineer Data Engineering Engineering Data Lake 70

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 Scala 130

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 Engineer Data Engineering Engineering 130

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 Engineer 80

Data Engineer Data Engineering Engineering Data 80