Start Data Engineering

AUGUST 29, 2021

Understanding your data engineering task 2.1. Data infrastructure overview 2.2. Delivering your data engineering task 3.1. You are given a quick overview of the business and data architecture and are assigned your very first data engineering task. Introduction 2. What exactly 2.3.

Data Engineer 130

Data Engineer Data Engineering Engineering Data Architecture 130

InData Labs

OCTOBER 17, 2023

Big data is central to the efficient running of all modern organizations, but to be of use, raw data must be suitably organized. Запись The benefits of modern data architecture впервые появилась InData Labs.

Data Architecture 105

Data Architecture Architecture Raw Data Big Data 105

Simon Späti

APRIL 3, 2023

Amidst the excitement and hype surrounding artificial intelligence, the significance of data engineering and its critical foundation—data modeling—can often be overlooked.

Data Engineer 130

Data Engineer Data Engineering Engineering Data Architecture 130

Simon Späti

APRIL 3, 2023

Amidst the excitement and hype surrounding artificial intelligence, the significance of data engineering and its critical foundation—data modeling—can often be overlooked.

Data Engineer 130

Data Engineer Data Engineering Engineering Data Architecture 130

Simon Späti

MAY 26, 2023

Welcome to the third and final installment of our series “Data Modeling: The Unsung Hero of Data Engineering.” In this third part, we’ll delve into data architecture patterns and their influence on data modeling.

Architecture 130

Architecture Data Engineer Data Engineering Engineering 130

Simon Späti

MAY 26, 2023

Welcome to the third and final installment of our series “Data Modeling: The Unsung Hero of Data Engineering.” In this third part, we’ll delve into data architecture patterns and their influence on data modeling.

Architecture 130

Architecture Data Engineer Data Engineering Engineering 130

Cloudera

DECEMBER 21, 2021

Since the release of Cloudera Data Engineering (CDE) more than a year ago , our number one goal was operationalizing Spark pipelines at scale with first class tooling designed to streamline automation and observability. The post Cloudera Data Engineering 2021 Year End Review appeared first on Cloudera Blog.

Data Engineer 118

Data Engineer Data Engineering Engineering Data Pipeline 118

Towards Data Science

DECEMBER 4, 2023

A Glossary with Use Cases for First-Timers in Data Engineering An happy Data Engineer at work Are you a data engineering rookie interested in knowing more about modern data infrastructures? In this guide Data Engineering meets Formula 1. I bet you are, this article is for you!

Data Engineer 98

Data Engineer Data Engineering Engineering Data Lake 98

Towards Data Science

OCTOBER 3, 2024

Three important lessons I have learned on my journey as data engineer and architect Continue reading on Towards Data Science »

Data Architecture 75

Data Architecture Architecture Data Science Data 75

Cloudera

FEBRUARY 14, 2022

When we introduced Cloudera Data Engineering (CDE) in the Public Cloud in 2020 it was a culmination of many years of working alongside companies as they deployed Apache Spark based ETL workloads at scale. Each unlocking value in the data engineering workflows enterprises can start taking advantage of. Usage Patterns.

Data Engineer 113

Data Engineer Data Engineering Engineering Data Pipeline 113

Data Engineering Podcast

JUNE 24, 2019

Summary Building a data platform that works equally well for data engineering and data science is a task that requires familiarity with the needs of both roles. Data engineering platforms have a strong focus on stateful execution and tasks that are strictly ordered based on dependency graphs.

Data Engineer 100

Data Engineer Data Engineering Engineering Data Science 100

Cloudera

AUGUST 30, 2022

Modern data architectures. To eliminate or integrate these silos, the public sector needs to adopt robust data management solutions that support modern data architectures (MDAs). Deploying modern data architectures. Lack of sharing hinders the elimination of fraud, waste, and abuse.

Data Architecture 79

Data Architecture Architecture Data Lake NoSQL 79

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. To measure, but not track.

Data Pipeline 98

Data Pipeline Data Engineer Data Engineering Engineering 98

Data Engineering Podcast

SEPTEMBER 7, 2020

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management What are the pieces of advice that you wish you had received early in your career of data engineering? If you hand a book to a new data engineer, what wisdom would you add to it?

Architecture 100

Architecture Data Architecture SQL Engineering 100

Snowflake

APRIL 2, 2025

Without adopting Iceberg tables, data teams are forced to spend significant time and resources managing migrations and governance before being able to capture the opportunities new technologies and solutions offer. Iceberg does away with this trade-off. We are excited to support the community as a headlining sponsor for the inaugural event.

Data Lake 97

Data Lake Cloud Storage Metadata Data Warehouse 97

Netflix Tech

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty At Netflix, our Membership and Finance Data Engineering team harnesses diverse data related to plans, pricing, membership life cycle, and revenue to fuel analytics, power various dashboards, and make data-informed decisions.

Data Engineer 108

Data Engineer Data Engineering Engineering Metadata 108

Knowledge Hut

DECEMBER 26, 2023

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. What is Data Science? What are the roles and responsibilities of a Data Engineer? And many more. And many more.

Data Engineer 98

Data Engineer Data Engineering Engineering Hadoop 98

AltexSoft

OCTOBER 30, 2021

If you’re an executive who has a hard time understanding the underlying processes of data science and get confused with terminology, keep reading. We will try to answer your questions and explain how two critical data jobs are different and where they overlap. Data science vs data engineering.

Data Engineer 98

Data Engineer Data Engineering Engineering Machine Learning 98

Data Engineering Podcast

MAY 29, 2022

Summary A large fraction of data engineering work involves moving data from one storage location to another in order to support different access and query patterns. Singlestore aims to cut down on the number of database engines that you need to run so that you can reduce the amount of copying that is required.

Database 100

Database Architecture Data Architecture PostgreSQL 100

KDnuggets

APRIL 5, 2023

Learn about Apache Kafka architecture and its implementation using a real-world use case of a taxi booking app.

Kafka 108

Kafka Architecture Data Architecture Building 108

Data Engineering Podcast

JUNE 16, 2024

In this episode Kevin Liu shares some of the interesting features that they have built by combining those technologies, as well as the challenges that they face in supporting the myriad workloads that are thrown at this layer of their data platform. Can you describe what role Trino and Iceberg play in Stripe's data architecture?

Data Lake 147

Data Lake High Quality Data Metadata Machine Learning 147

Snowflake

MARCH 19, 2025

Attendees will discover how to accelerate their critical business workflows with the right data, technology and ecosystem access. The Snowflake AI Data Cloud on Microsoft Azure simplifies access to data securely, empowering customers to maximize the value of their data efficiently.

Retail 96

Retail Media Entertainment Unstructured Data 96

Edureka

APRIL 22, 2025

Although they take quite different approaches, Microsoft Fabric and Snowflake, two of the top players in the current data landscape, both provide strong capabilities. The company wants to combine its sales, inventory, and customer data in order to facilitate real-time reporting and predictive analytics.

BI 52

BI Pipeline-centric Data Lake Google Cloud 52

Towards Data Science

MARCH 17, 2024

Outlining strategies and solution architectures to incrementally load data from various data sources. Continue reading on Towards Data Science »

Data Engineer 97

Data Engineer Data Engineering Engineering Data Science 97

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

Monte Carlo

FEBRUARY 21, 2023

Despite its prevalence, data can be messy, siloed, ungovernable, and inaccessible—especially to the non-technical employees who rely on it. Enter data fabric: a data management architecture designed to serve the needs of the business, not just those of data engineers.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Monte Carlo

FEBRUARY 21, 2023

Despite its prevalence, data can be messy, siloed, ungovernable, and inaccessible—especially to the non-technical employees who rely on it. Enter data fabric: a data management architecture designed to serve the needs of the business, not just those of data engineers.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Data Engineering Weekly

DECEMBER 10, 2023

As a data practitioner, I feel OneTable is one of the critical projects in the LakeHouse era. From a data architecture point of view, this enables a lot of flexibility in integrating multiple systems. The OneTable, as promised in this article, enables seamless interoperability among Hudi, Iceberg, and Delta Lake.

Data Engineer 77

Data Engineer Data Engineering Engineering Metadata 77

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 Engineer 52

Data Engineer Data Engineering Engineering Hadoop 52

Data Engineering Weekly

MARCH 3, 2024

Editor’s Note: Chennai, India Meetup - March-08 Update We are thankful to Ideas2IT to host our first Data Hero’s meetup. There will be food, networking, and real-world talks around data engineering.

Data Engineer 68

Data Engineer Data Engineering Engineering Pipeline-centric 68

Data Engineering Podcast

JUNE 17, 2023

By incorporating column-level lineage in the data modeling process it encourages a more robust and well-informed design. In this episode Satish Jayanthi explores the benefits of incorporating column-aware tooling in the data modeling process.

Data Lake 130

Data Lake Machine Learning Metadata Data Architecture 130

Team Data Science

JANUARY 14, 2021

Such conversion can be from being a data analyst to a data scientist, data engineering to a data statistician, or data engineering to a data analyst. in data science in their research. These tools have helped a lot of people who do not have a Ph.D. See you later.

Data Science 130

Data Science Computer Science Data Engineer Data Engineering 130

DataKitchen

NOVEMBER 5, 2024

This architecture is valuable for organizations dealing with large volumes of diverse data sources, where maintaining accuracy and accessibility at every stage is a priority. It sounds great, but how do you prove the data is correct at each layer? How do you ensure data quality in every layer ?

Architecture 78

Architecture Raw Data Pipeline-centric Data Ingestion 78

Data Engineering Weekly

AUGUST 6, 2024

TL;DR Aswin and I are thrilled to announce the release of the first version of our comprehensive guide for evaluating Change Data Capture. Why CDC is More Relevant in Unified Data Architecture As we advance into the Gen AI era, Change Data Capture (CDC) systems are emerging as crucial components of the ever-evolving data architecture.

Data Lake 126

Data Lake Data Warehouse Database Data Architecture 126

Data Engineering Weekly

FEBRUARY 25, 2024

Are you ready to take Europe's data engineering scene to the next level? If you want to shape the future of data in Europe, join our core working group. This initiative reduced costs and enhanced computational efficiency, demonstrating the significant benefits of GPUs in big data environments.

Data Engineer 63

Data Engineer Data Engineering Engineering Kafka 63

Snowflake

OCTOBER 23, 2023

Every day, we witness approximately 20 million Snowpark queries² driving a spectrum of data engineering and data science tasks, with Python leading the way.

Python 141

Python Cloud Data Science Machine Learning 141

Towards Data Science

SEPTEMBER 26, 2024

One step forward; no steps back Continue reading on Towards Data Science »

Data Engineer 74

Data Engineer Data Engineering Engineering Data Science 74