phData: Data Engineering

NOVEMBER 8, 2024

The world we live in today presents larger datasets, more complex data, and diverse needs, all of which call for efficient, scalable data systems. Open Table Format (OTF) architecture now provides a solution for efficient data storage, management, and processing while ensuring compatibility across different platforms.

Architecture 52

Architecture Systems Data Lake Google Cloud 52

Data Engineering Podcast

SEPTEMBER 1, 2021

Summary The Presto project has become the de facto option for building scalable open source analytics in SQL for the data lake. With simple pricing, fast networking, object storage, and worldwide data centers, you’ve got everything you need to run a bulletproof data platform.

Data Lake 100

Data Lake Cloud AWS SQL 100

Cloudera

OCTOBER 23, 2024

In August, we wrote about how in a future where distributed data architectures are inevitable, unifying and managing operational and business metadata is critical to successfully maximizing the value of data, analytics, and AI.

Metadata 84

Metadata BI Data Lake Business Intelligence 84

Data Engineering Podcast

FEBRUARY 5, 2023

In that time there have been a number of generational shifts in how data engineering is done. Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? Materialize]([link] Looking for the simplest way to get the freshest data possible to your teams?

Data Engineering 147

Data Engineering Data Engineer Engineering PostgreSQL 147

Data Engineering Podcast

FEBRUARY 19, 2023

Summary Cloud data warehouses have unlocked a massive amount of innovation and investment in data applications, but they are still inherently limiting. Because of their complete ownership of your data they constrain the possibilities of what data you can store and how it can be used. We feel your pain.

IT 147

IT Data Lake Metadata Data Warehouse 147

Data Engineering Podcast

NOVEMBER 26, 2023

Summary Building a data platform that is enjoyable and accessible for all of its end users is a substantial challenge. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Introducing RudderStack Profiles. Data lakes are notoriously complex.

Architecture 147

Architecture Data Lake High Quality Data SQL 147

Data Engineering Podcast

MAY 22, 2022

Summary Machine learning has become a meaningful target for data applications, bringing with it an increase in the complexity of orchestrating the entire data flow. With simple pricing, fast networking, object storage, and worldwide data centers, you’ve got everything you need to run a bulletproof data platform.

Machine Learning 130

Machine Learning Data Engineering Data Engineer Cloud 130

Snowflake

JUNE 21, 2024

Thousands of customers have worked with Snowflake to cost-effectively build a secure data foundation as they look to solve a growing variety of business problems with more data. Increasingly customers are looking to expand that powerful foundation to a broader set of data across their enterprise. Why use Iceberg Tables?

Data Lake 124

Data Lake BI Business Intelligence Metadata 124

François Nguyen

MARCH 22, 2021

TL;DR After setting up and organizing the teams, we are describing 4 topics to make data mesh a reality. TL;DR After setting up and organizing the teams, we are describing 4 topics to make data mesh a reality. How do we build data products ? How can we interoperate between the data domains ?

Technology 130

Technology Architecture Google Cloud Metadata 130

Data Engineering Podcast

DECEMBER 18, 2022

Summary One of the reasons that data work is so challenging is because no single person or team owns the entire process. This introduces friction in the process of collecting, processing, and using data. In order to reduce the potential for broken pipelines some teams have started to adopt the idea of data contracts.

Metadata 130

Metadata Business Intelligence Data Lake BI 130

phData: Data Engineering

NOVEMBER 1, 2024

In an effort to better understand where data governance is heading, we spoke with top executives from IT, healthcare, and finance to hear their thoughts on the biggest trends, key challenges, and what insights they would recommend. With that, let’s get into the governance trends for data leaders! Want to Save This Guide for Later?

Government 52

Government Data Governance Finance Metadata 52

Data Engineering Weekly

FEBRUARY 23, 2025

Try Astro Free → Editor’s Note: Data Council 2025, Apr 22-24, Oakland, CA Data Council has always been one of my favorite events to connect with and learn from the data engineering community. Data Council 2025 is set for April 22-24 in Oakland, CA. The results? will shape the future of DataOps.

Data Engineering 62

Data Engineering Data Engineer Engineering Kafka 62

Edureka

MAY 27, 2025

Microsoft Fabric is a next-generation data platform that combines business intelligence, data warehousing, real-time analytics, and data engineering into a single integrated SaaS framework. The architecture of Microsoft Fabric is based on several essential elements that work together to simplify data processes: 1.

Architecture 52

Architecture BI Business Intelligence Raw Data 52

Data Engineering Podcast

JUNE 17, 2023

In data systems one of the core architectural exercises is data modeling, which can have significant impacts on what is and is not possible for downstream use cases. By incorporating column-level lineage in the data modeling process it encourages a more robust and well-informed design.

Data Lake 130

Data Lake Machine Learning Data Architecture Metadata 130

Sync Computing

NOVEMBER 7, 2024

Data is central to modern business and society. Depending on what sort of leaky analogy you prefer, data can be the new oil , gold , or even electricity. Of course, even the biggest data sets are worthless, and might even be a liability, if they arent organized properly.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Unstructured Data 52

Cloudyard

DECEMBER 13, 2022

Read Time: 4 Minute, 23 Second During this post we will discuss how AWS S3 service and Snowflake integration can be used as Data Lake in current organizations. How customer has migrated On Premises EDW to Snowflake to leverage snowflake Data Lake capabilities. Create S3 bucket to hold the tables data.

Data Lake 52

Data Lake AWS Metadata Data 52

Snowflake

DECEMBER 4, 2023

Apache Iceberg’s ecosystem of diverse adopters, contributors and commercial support continues to grow, establishing itself as the industry standard table format for an open data lakehouse architecture. Snowflake’s support for Iceberg Tables is now in public preview, helping customers build and integrate Snowflake into their lake architecture.

Building 117

Building Metadata Cloud Storage AWS 117

Data Engineering Weekly

FEBRUARY 18, 2025

Fluss is a compelling new project in the realm of real-time data processing. Architecture Difference The first difference is the Data Model. In contrast, Fluss adopts a Lakehouse-native design with structured tables, explicit schemas, and support for all kinds of data types; it directly mirrors the Lakehouse paradigm.

Kafka 73

Kafka Lambda Architecture SQL Architecture 73

Data Engineering Weekly

APRIL 6, 2025

The article summarizes the recent macro trends in AI and data engineering, focusing on Vibe coding, human-in-the-loop system design, and rapid simplification of developer tooling. As these assistants evolve, they signal a future where scalable, low-latency data pipelines become essential for seamless, intelligent user experiences.

Data Engineering 62

Data Engineering Data Engineer Engineering Kafka 62

Data Engineering Podcast

DECEMBER 29, 2022

Summary Making effective use of data requires proper context around the information that is being used. Rehgan Avon co-founded AlignAI to help address this challenge through a more purposeful platform designed to collect and distribute the knowledge of how and why data is used in a business. Missing data? Stale dashboards?

Management 130

Management Metadata Business Intelligence Data Lake 130

Data Engineering Podcast

NOVEMBER 20, 2022

Sifflet is a platform that brings your entire data stack into focus to improve the reliability of your data assets and empower collaboration across your teams. In this episode CEO and founder Salma Bakouk shares her views on the causes and impacts of "data entropy" and how you can tame it before it leads to failures.

Data Lake 130

Data Lake Data Ingestion MongoDB MySQL 130

phData: Data Engineering

SEPTEMBER 19, 2023

With the amount of data companies are using growing to unprecedented levels, organizations are grappling with the challenge of efficiently managing and deriving insights from these vast volumes of structured and unstructured data. What is a Data Lake?

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

Data Engineering Podcast

MARCH 27, 2022

Summary Data governance is a practice that requires a high degree of flexibility and collaboration at the organizational and technical levels. The growing prominence of cloud and hybrid environments in data management adds additional stress to an already complex endeavor.

Data Governance 130

Data Governance Government Cloud Building 130

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. Notion migrated the insert heavy workload from Snowflake to Hudi.

Data Engineering 98

Data Engineering Data Engineer Engineering Data Lake 98

Monte Carlo

APRIL 24, 2023

Data lakes are useful, flexible data storage repositories that enable many types of data to be stored in its rawest state. Traditionally, after being stored in a data lake, raw data was then often moved to various destinations like a data warehouse for further processing, analysis, and consumption.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

Grouparoo

JANUARY 11, 2022

When it comes to storing large volumes of data, a simple database will be impractical due to the processing and throughput inefficiencies that emerge when managing and accessing big data. This article looks at the options available for storing and processing big data, which is too large for conventional databases to handle.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

Monte Carlo

DECEMBER 12, 2024

In our latest survey on the state of data reliability, nearly 100% of data leaders said they feel pressure from their own leadership to implement a GenAI strategy or deliver GenAI products. In this article, Ill propose a playbook you can deploy to get your team aligned, your data ready, and your stakeholders on the same page.

Government 52

Government Data Cloud Datasets 52

Striim

MARCH 21, 2025

Since the value of data quickly drops over time, organizations need a way to analyze data as it is generated. To avoid disruptions to operational databases, companies typically replicate data to data warehouses for analysis. Traditionally, businesses used batch-based approaches to move data once or several times a day.

IT 52

IT Data Lake Relational Database Data Warehouse 52

Data Engineering Podcast

NOVEMBER 27, 2022

Summary The data ecosystem has been growing rapidly, with new communities joining and bringing their preferred programming languages to the mix. This has led to inefficiencies in how data is stored, accessed, and shared across process and system boundaries. Atlan is the metadata hub for your data ecosystem. Missing data?

Data Process 100

Data Process Process Metadata Business Intelligence 100

Cloudera

OCTOBER 7, 2021

In this blog, I will demonstrate the value of Cloudera DataFlow (CDF) , the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP) , as a Data integration and Democratization fabric. Introduction to the Data Mesh Architecture and its Required Capabilities. Components of a Data Mesh.

Architecture 124

Architecture Metadata Kafka Government 124

Cloudera

APRIL 22, 2021

Today’s enterprise data analytics teams are constantly looking to get the best out of their platforms. Storage plays one of the most important roles in the data platforms strategy, it provides the basis for all compute engines and applications to be built on top of it. Separates control and data plane enabling high performance.

Pipeline-centric 101

Pipeline-centric Data Lake Hadoop Big Data 101

Monte Carlo

AUGUST 25, 2023

Modern companies are ingesting, storing, transforming, and leveraging more data to drive more decision-making than ever before. Data teams need to balance the need for robust, powerful data platforms with increasing scrutiny on costs. But, the options for data storage are evolving quickly. Let’s dive in.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

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. The idea is to create a living reference about Data Engineering.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Data Engineering Podcast

AUGUST 21, 2022

Summary The position of Chief Data Officer (CDO) is relatively new in the business world and has not been universally adopted. In this episode Tracy Daniels, CDO of Truist, shares her journey into the position, her responsibilities, and her relationship to the data professionals in her organization.

Metadata 100

Metadata MongoDB MySQL Data Lake 100

Monte Carlo

APRIL 1, 2021

Over the past few years, data lakes have emerged as a must-have for the modern data stack. But while the technologies powering our access and analysis of data have matured, the mechanics behind understanding this data in a distributed environment have lagged behind. How can I use this data?

Data Lake 52

Data Lake Data Warehouse Unstructured Data Government 52

Data Engineering Podcast

OCTOBER 14, 2018

The Hive format is also built with the assumptions of a local filesystem which results in painful edge cases when leveraging cloud object storage for a data lake. One of the complicated problems in data modeling is managing table partitions. What are the unique challenges posed by using S3 as the basis for a data lake?

Data Lake 100

Data Lake Big Data Cloud Hadoop 100

Data Engineering Podcast

DECEMBER 25, 2022

Summary Five years of hosting the Data Engineering Podcast has provided Tobias Macey with a wealth of insight into the work of building and operating data systems at a variety of scales and for myriad purposes. Atlan is the metadata hub for your data ecosystem. Missing data? Struggling with broken pipelines?

Building 100

Building Metadata Business Intelligence Data Lake 100