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

Monte Carlo

MARCH 14, 2023

Data ingestion is the process of collecting data from various sources and moving it to your data warehouse or lake for processing and analysis. It is the first step in modern data management workflows. Table of Contents What is Data Ingestion? Decision making would be slower and less accurate.

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Data Ingestion Data Warehouse Lambda Architecture Raw Data 52

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.

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Data Engineer Data Engineering Building Engineering 52

Knowledge Hut

JULY 3, 2023

This is where real-time data ingestion comes into the picture. Data is collected from various sources such as social media feeds, website interactions, log files and processing. This refers to Real-time data ingestion. To achieve this goal, pursuing Data Engineer certification can be highly beneficial.

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Data Ingestion Google Cloud Pipeline-centric Media 52

Team Data Science

MAY 10, 2020

I can now begin drafting my data ingestion/ streaming pipeline without being overwhelmed. With careful consideration and learning about your market, the choices you need to make become narrower and more clear.

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Data Pipeline Data Ingestion AWS Kafka 130

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.

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Data Pipeline Python SQL Database 103

Ascend.io

DECEMBER 19, 2022

We hope the real-time demonstrations of Ascend automating data pipelines were a real treat—a long with the special edition T-Shirt designed specifically for the show (picture of our founder and CEO rocking the t-shirt below). Improved performance by upgrading our ingestion engine from Spark 3.2.0

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Data Ingestion Data Pipeline Metadata AWS 52

Databand.ai

JULY 19, 2023

Complete Guide to Data Ingestion: Types, Process, and Best Practices Helen Soloveichik July 19, 2023 What Is Data Ingestion? Data Ingestion is the process of obtaining, importing, and processing data for later use or storage in a database. In this article: Why Is Data Ingestion Important?

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Data Ingestion Process Data Cleanse Data Governance 52

Ascend.io

MAY 31, 2023

In the modern world of data engineering, two concepts often find themselves in a semantic tug-of-war: data pipeline and ETL. Fast forward to the present day, and we now have data pipelines. Data Ingestion Data ingestion is the first step of both ETL and data pipelines.

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Data Pipeline ETL Tools Pipeline-centric Data Warehouse 52

Monte Carlo

APRIL 24, 2023

Data ingestion When we think about the flow of data in a pipeline, data ingestion is where the data first enters our platform. Data ingestion When we think about the flow of data in a pipeline, data ingestion is where the data first enters our platform.

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Data Pipeline Building Data Ingestion BI 52

Ascend.io

JANUARY 2, 2024

But let’s be honest, creating effective, robust, and reliable data pipelines, the ones that feed your company’s reporting and analytics, is no walk in the park. From building the connectors to ensuring that data lands smoothly in your reporting warehouse, each step requires a nuanced understanding and strategic approach.

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Data Pipeline Building Raw Data Data Warehouse 52

Ascend.io

AUGUST 29, 2023

A star-studded baseball team is analogous to an optimized “end-to-end data pipeline” — both require strategy, precision, and skill to achieve success. Just as every play and position in baseball is key to a win, each component of a data pipeline is integral to effective data management.

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Data Pipeline Pipeline-centric Database-centric Data Ingestion 52

Ascend.io

MAY 8, 2023

The costs of developing and running data pipelines are coming under increasing scrutiny because the bills for infrastructure and data engineering talent are piling up. For data teams, it is time to ask: “How can we have an impact on these runaway costs and still deliver unprecedented business value?”

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Data Pipeline Data Ingestion Metadata Data 52

Snowflake

MARCH 2, 2023

Snowflake enables organizations to be data-driven by offering an expansive set of features for creating performant, scalable, and reliable data pipelines that feed dashboards, machine learning models, and applications. But before data can be transformed and served or shared, it must be ingested from source systems.

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Kafka Data Ingestion Data Pipeline Cloud Storage 126

Ascend.io

MARCH 17, 2023

As a result, stakeholders limit their reliance on data, making decisions based on gut instinct rather than facts. To shift this harmful approach, companies need to make fundamental changes to their data engineering function and start running at speed and with agility. In fact, it’s been a recurring theme in software engineering.

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Data Pipeline Datasets Data Software Engineer 52

Ascend.io

MARCH 17, 2023

As a result, stakeholders limit their reliance on data, making decisions based on gut instinct rather than facts. To shift this harmful approach, companies need to make fundamental changes to their data engineering function and start running at speed and with agility. In fact, it’s been a recurring theme in software engineering.

Data Pipeline 52

Data Pipeline Datasets Data Software Engineer 52

Data Engineering Weekly

JULY 7, 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. Hudi seems to be a de facto choice for CDC data lake features.

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Data Engineer Data Engineering Engineering Data Lake 98

Monte Carlo

JUNE 14, 2023

In this post, we will help you quickly level up your overall knowledge of data pipeline architecture by reviewing: Table of Contents What is data pipeline architecture? Why is data pipeline architecture important? What is data pipeline architecture? Why is data pipeline architecture important?

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Data Pipeline Architecture Data Lake Data Warehouse 52

Snowflake

JUNE 13, 2024

But at Snowflake, we’re committed to making the first step the easiest — with seamless, cost-effective data ingestion to help bring your workloads into the AI Data Cloud with ease. Like any first step, data ingestion is a critical foundational block. Ingestion with Snowflake should feel like a breeze.

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Data Ingestion MySQL PostgreSQL Data Pipeline 92

Cloudera

AUGUST 13, 2021

Whether it is consuming log files, sensor metrics, and other unstructured data, most enterprises manage and deliver data to the data lake and leverage various applications like ETL tools, search engines, and databases for analysis. Let’s transform the first mile of the data pipeline.

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Data Pipeline Data Lake ETL Tools Unstructured Data 111

Ascend.io

JULY 28, 2023

Data pipelines are integral to business operations, regardless of whether they are meticulously built in-house or assembled using various tools. As companies become more data-driven, the scope and complexity of data pipelines inevitably expand. Ready to fortify your data management practice?

Data Pipeline 52

Data Pipeline Architecture Lambda Architecture Data Architecture 52

Cloudera

FEBRUARY 8, 2021

Below is the entire set of steps in the data lifecycle, and each step in the lifecycle will be supported by a dedicated blog post(see Fig. 1): Data Collection – data ingestion and monitoring at the edge (whether the edge be industrial sensors or people in a vehicle showroom). Conclusion.

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Data Pipeline Building Manufacturing Data Warehouse 117

Data Engineering Weekly

MAY 16, 2023

I won’t bore you with the importance of data quality in the blog. Instead, Let’s examine the current data pipeline architecture and ask why data quality is expensive. Instead of looking at the implementation of the data quality frameworks, Let's examine the architectural patterns of the data pipeline.

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Engineering Kafka Data Pipeline Data Warehouse 110

Ascend.io

MARCH 2, 2023

It won with ease of use by our analysts, the comprehensive scope of its automation, and the speed of end-to-end pipeline development. Terry Dougal Intelligent Data Pipelines at Audacy Instead of hiring more data engineers to patch over all the tooling with more bespoke code, Terry shifted gears and looked for a new solution.

Data Pipeline 52

Data Pipeline Media Portfolio Data Ingestion 52

Data Engineering Weekly

MARCH 17, 2024

Compliance is mandatory, with strict penalties for violations, emphasizing the importance of data scientists familiarizing themselves with the law to avoid prohibited AI uses and ensure ethical, safe AI development. As you know, I’m fascinated by data products and the potential to change the data engineering practice.

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Data Engineer Data Engineering Engineering Kafka 70

Ascend.io

AUGUST 24, 2023

This article introduces you to the Data Automation Engineer — a pivotal role in today’s data-driven world. What Is a Data Automation Engineer? We intentionally defined them as “data professionals” because this role isn’t confined to data engineers, analytics engineers, or technical data analysts.

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Engineering Data Pipeline Data Ingestion Data 52

Monte Carlo

JUNE 2, 2024

Data Infrastructure Engineers are the professionals who ensure that this data flows smoothly and reliably. But what does a data infrastructure engineer do exactly? Table of Contents What is a Data Infrastructure Engineer? Check out our Ultimate Guide To Data Quality for more on this topic.)

Engineering 52

Engineering Amazon Web Services Data Science AWS 52

Monte Carlo

JUNE 2, 2024

Data Infrastructure Engineers are the professionals who ensure that this data flows smoothly and reliably. But what does a data infrastructure engineer do exactly? Table of Contents What is a Data Infrastructure Engineer? Check out our Ultimate Guide To Data Quality for more on this topic.)

Engineering 52

Engineering Amazon Web Services Data Science AWS 52

Ascend.io

MARCH 2, 2023

It won with ease of use by our analysts, the comprehensive scope of its automation, and the speed of end-to-end pipeline development. Terry Dougal Intelligent Data Pipelines at Audacy Instead of hiring more data engineers to patch over all the tooling with more bespoke code, Terry shifted gears and looked for a new solution.

Data Pipeline 52

Data Pipeline Media Portfolio Data Ingestion 52

DareData

JANUARY 30, 2023

Learn the most important data engineering concepts that data scientists should be aware of. As the field of data science and machine learning continues to evolve, it is increasingly evident that data engineering cannot be separated from it.

Data Engineer 52

Data Engineer Data Engineering NoSQL Engineering 52

Data Engineering Weekly

JUNE 4, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. Perhaps unit test the pipeline? Sign up free to test out the tool today.

Data Engineer 52

Data Engineer Data Engineering Engineering Medical 52

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.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Governance 52

Data Engineering Weekly

SEPTEMBER 18, 2024

The advent of data lakes has changed the landscape of data infrastructure in two fundamental ways: 1. Decoupling of Storage and Compute : Data lakes allow observability tools to run alongside core data pipelines without competing for resources by separating storage from compute resources.

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Data Lake Data Pipeline Unstructured Data Datasets 98

Data Engineering Podcast

OCTOBER 30, 2022

Summary One of the most impactful technologies for data analytics in recent years has been dbt. It’s hard to have a conversation about data engineering or analysis without mentioning it. Despite its widespread adoption there are still rough edges in its workflow that cause friction for data analysts.

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Engineering MongoDB Scala MySQL 100

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 Engineer Data Engineering Project Coding 52

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?

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Knowledge Hut

JUNE 26, 2023

Welcome to the world of data engineering, where the power of big data unfolds. 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. What are Data Engineering Projects?

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