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). Towards Data Science ). Solutions that support MDAs are purpose-built for data collection, processing, and sharing.

Data Architecture 79

Data Architecture Architecture Data Lake NoSQL 79

Monte Carlo

OCTOBER 31, 2024

AI data engineers are data engineers that are responsible for developing and managing data pipelines that support AI and GenAI data products. Essential Skills for AI Data Engineers Expertise in Data Pipelines and ETL Processes A foundational skill for data engineers?

Data Engineering 52

Data Engineering Data Engineer Engineering Unstructured Data 52

Striim

AUGUST 14, 2024

When implemented effectively, smart data pipelines seamlessly integrate data from diverse sources, enabling swift analysis and actionable insights. They empower data analysts and business users alike by providing critical information while protecting sensitive production systems. What is a Smart Data Pipeline?

Data Pipeline 52

Data Pipeline Data Transportation Architecture 52

ProjectPro

JUNE 6, 2025

." - Ian Abramson, director of product management at data warehousing company, Snowflake Who is a Data Engineer? Data Engineers are data scientists who design and maintain analytics infrastructure. Data Engineers are responsible for integrating and cleaning data for usage in analytics applications.

Data Architect 40

Data Architect Data Engineering Data Engineer Building 40

ProjectPro

JUNE 6, 2025

With the right tools, mindset, and hands-on experience, you can become a key player in transforming how organizations use data to drive innovation and decision-making. According to a 2023 survey by the Data Engineering Academy, 78% of companies plan to increase their investment in data infrastructure, including cloud-based solutions.

Data Engineering 40

Data Engineering Data Engineer Engineering ETL Tools 40

Teradata

MAY 30, 2025

Register now Home Insights Data platform Article How To Use Airbyte, dbt-teradata, Dagster, and Teradata Vantage™ for Seamless Data Integration Build and orchestrate a data pipeline in Teradata Vantage using Airbyte, Dagster, and dbt. Assets are central to Dagster's data management and orchestration.

Data Integration 52

Data Integration Raw Data Metadata Data Pipeline 52

ProjectPro

JUNE 6, 2025

This blog post provides an overview of the top 10 data engineering tools for building a robust data architecture to support smooth business operations. Table of Contents What are Data Engineering Tools? Data engineers manage that massive amount of data using various data engineering tools, frameworks, and technologies.

Data Engineering 45

Data Engineering Data Engineer Engineering Kafka 45

Data Engineering Podcast

JUNE 16, 2024

Your host is Tobias Macey and today I'm interviewing Kevin Liu about his use of Trino and Iceberg for Stripe's data lakehouse Interview Introduction How did you get involved in the area of data management? Can you describe what role Trino and Iceberg play in Stripe's data architecture?

Data Lake 147

Data Lake High Quality Data Metadata Government 147

ProjectPro

JUNE 6, 2025

Here are four key benefits of pursuing these courses- Enhanced Cloud Data Management Skills Data engineering courses provide cloud professionals or data engineers with the knowledge and skills to effectively manage data in cloud environments. Ratings/Reviews This certificate program has an overall rating of 4.6

Data Engineering 45

Data Engineering Data Engineer Cloud Engineering 45

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

Striim

APRIL 18, 2025

How Organizations Can Overcome Data Quality and Availability Challenges Many businesses are shifting toward real-time data pipelines to ensure their AI and analytics strategies are built on reliable information. Enabling AI & ML with Adaptive Data Pipelines AI models require ongoing updates to stay relevant.

High Quality Data 52

High Quality Data Business Intelligence Unstructured Data Data Pipeline 52

ProjectPro

JUNE 6, 2025

Big Data Engineers are professionals who handle large volumes of structured and unstructured data effectively. They are responsible for changing the design, development, and management of data pipelines while also managing the data sources for effective data collection.

Big Data 40

Big Data Data Engineering Data Engineer Engineering 40

Data Engineering Weekly

JUNE 1, 2025

Data Engineering Weekly recently published a reference architecture for a composable data architecture. ICE stack elegantly represents the reference architecture. link] Sponsored: The Data Platform Fundamentals Guide Learn the fundamental concepts to build a data platform in your organization.

Data Engineer 70

Data Engineer Data Engineering Engineering Relational Database 70

The Modern Data Company

JULY 29, 2024

BCG research reveals a striking trend: the number of unique data vendors in large companies has nearly tripled over the past decade, growing from about 50 to 150. This dramatic increase in vendors hasn’t led to the expected data revolution. The limited reusability of data assets further exacerbates this agility challenge.

Data Architecture 52

Data Architecture Architecture Building Pipeline-centric 52

Data Engineering Podcast

JUNE 17, 2023

Sign up free at dataengineeringpodcast.com/rudderstack - Your host is Tobias Macey and today I'm interviewing Satish Jayanthi about the practice and promise of building a column-aware data architecture through intentional modeling Interview Introduction How did you get involved in the area of data management?

Data Lake 130

Data Lake Metadata Data Architecture Data Warehouse 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

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?

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 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 Data Lake 52

ProjectPro

JUNE 6, 2025

As technology advances, their role will become increasingly crucial, and excellent data architects will embrace this transition by staying up-to-date with the new tools and technologies. What Does a Data Architect Do? Now, what is a data architect responsible for? These certifications are acquired mainly by taking an exam.

Data Architect 40

Data Architect Data Mining Programming Language Java 40

Data Engineering Weekly

FEBRUARY 23, 2025

It allows different data platforms to access and share the same underlying data without copying, treating OTFs as a storage-layer abstraction. link] Sponsored: Webinar - The State of Airflow 2025 We asked 5,000+ data engineers how Airflow is shaping the modern DataOps landscape.

Data Engineer 62

Data Engineer Data Engineering Engineering Kafka 62

Snowflake

JULY 27, 2023

Over the course of this journey, HomeToGo’s data needs have evolved considerably. After we had a successful trial period that checked all the boxes, we started our migration in autumn 2021 — together with moving all our data transformation management into the OSS version of dbt.

Data Architecture 52

Data Architecture Architecture Building Structured Data 52

Netflix Tech

NOVEMBER 14, 2023

We’ll discuss batch data processing, the limitations we faced, and how Psyberg emerged as a solution. Furthermore, we’ll delve into the inner workings of Psyberg, its unique features, and how it integrates into our data pipelining workflows. This is mainly used to identify new changes since the last update.

Data Engineer 111

Data Engineer Data Engineering Engineering Metadata 111

ProjectPro

JUNE 6, 2025

As we can see, it turns out that the data engineering role requires a vast knowledge of different big data tools and technologies. The data engineering role requires professionals who can build various data pipelines to enable data-driven models. Maintain the data architecture over time and its scalability.

Data Science 40

Data Science Data Engineering Data Engineer Engineering 40

Towards Data Science

DECEMBER 4, 2023

Anyways, I wasn’t paying enough attention during university classes, and today I’ll walk you through data layers using —  guess what  —  an example. Business Scenario & Data Architecture Imagine this: next year, a new team on the grid, Red Thunder Racing, will call us (yes, me and you) to set up their new data infrastructure.

Data Engineer 98

Data Engineer Data Engineering Engineering Data Lake 98

ProjectPro

JUNE 6, 2025

Traditional data preparation platforms, including Apache Spark, are unnecessarily complex and inefficient, resulting in fragile and costly data pipelines. Consolidating over 30 data stores into Snowflake provides them with more significant insights at a fraction of the cost of traditional data engineering.

Architecture 56

Architecture IT Data Warehouse Amazon Web Services 56

ProjectPro

JUNE 6, 2025

Key Responsibilities of a Data Engineer Here are the skills to hone for fulfilling the day-to-day responsibilities of a data engineer: Obtain data from third-party providers with the help of robust API integrations. Build, Design, and maintain data architectures using a systematic approach that satisfies business needs.

Data Engineering 49

Data Engineering Data Engineer Engineering Hadoop 49

ProjectPro

JUNE 6, 2025

You must also learn about the best practices for efficient data loading, including optimizing for performance, handling errors, and automating data pipelines. By mastering data loading techniques, you can fill your Snowflake database with relevant data for further exploration and analysis in your Snowflake environment.

Data Warehouse 40

Data Warehouse SQL AWS Big Data 40

Cloudera

DECEMBER 21, 2021

In working with thousands of customers deploying Spark applications, we saw significant challenges with managing Spark as well as automating, delivering, and optimizing secure data pipelines. We wanted to develop a service tailored to the data engineering practitioner built on top of a true enterprise hybrid data service platform.

Data Engineer 118

Data Engineer Data Engineering Engineering Data Pipeline 118

Monte Carlo

DECEMBER 30, 2024

Today, data quality isnt merely a business riskits an existential one. From a lack of necessary automation to a lack of incident management features, traditional data quality methods cant monitor all the ways your data pipelines can breakor help you resolve it quickly when they do. And thats a big problem for AI.

Architecture 52

Architecture Data Pipeline Data Architecture Data Engineering 52

ProjectPro

JUNE 6, 2025

Busting the Myth of Zero ETL: Why is Data Transformation so critical? Zero ETL Components Zero ETL Benefits Zero ETL Use Cases AWS Zero ETL Integrations Learn Building Scalable Zero ETL Data Pipelines with ProjectPro! This allows for the rapid integration of new data sources without disrupting existing workflows.

Data Analytics 40

Data Analytics MySQL PostgreSQL Data Lake 40

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.

Data Lake 98

Data Lake Data Pipeline Unstructured Data Data 98

ProjectPro

JUNE 6, 2025

It is tailored for professionals aspiring to demonstrate proficiency in leveraging AWS services to extract, transform, and load (ETL) data for analysis. It also emphasizes skills in optimizing data storage, ensuring data quality, and implementing scalable and secure data solutions on the AWS platform. PREVIOUS NEXT <

AWS 40

AWS Certification Data Engineering Data Engineer 40

Data Engineering Podcast

JULY 3, 2022

Go to dataengineeringpodcast.com/atlan today to learn more about how Atlan’s active metadata platform is helping pioneering data teams like Postman, Plaid, WeWork & Unilever achieve extraordinary things with metadata and escape the chaos. Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code.

Architecture 100

Architecture Metadata MongoDB MySQL 100

ProjectPro

JUNE 6, 2025

Snowflake SnowPro Advanced: Architect Certification Image Source: learn.snowflake.com/ This certification validates proficiency in implementing comprehensive architectural solutions using Snowflake. It covers data modeling, performance optimization, security, access control, and designing scalable data pipelines.

Certification 40

Certification Data Pipeline Hadoop Data Architect 40

ProjectPro

JUNE 6, 2025

Cloud platforms leverage various solutions to provide users with better insights, including Data Migration , Data Engineering, and Data Analytics. AWS Data Engineering is one of the core elements of AWS Cloud in delivering the ultimate solution to users. Table of Contents Who is an AWS Data Engineer?

AWS 45

AWS Data Engineering Data Engineer Amazon Web Services 45

Edureka

APRIL 22, 2025

Its multi-cluster shared data architecture is one of its primary features. Additionally, Fabric has deep integrations with Power BI for visualization and Microsoft Purview for governance, resulting in a smooth experience for both business users and data professionals.

BI 52

BI Pipeline-centric Data Lake Google Cloud 52

ProjectPro

JUNE 6, 2025

Kafka's popularity is skyrocketing, and for good reason—it helps organizations manage real-time data streams and build scalable data architectures. Learning how to connect Kafka with databases, Hadoop, Spark, or Flink will expand your knowledge of how Kafka is used in complex data pipelines.

Kafka 40

Kafka Certification AWS Retail 40