ProjectPro

JUNE 6, 2025

The result was Apache Iceberg, a modern table format built to handle the scale, performance, and flexibility demands of today’s cloud-native data architectures. Apache Iceberg Architecture 1. Metadata Layer 3. Data Layer What are the main use cases for Apache Iceberg? Let us explore more about it.

Architecture 40

Architecture Data Lake Metadata Cloud Storage 40

Cloudera

JUNE 29, 2023

To improve the way they model and manage risk, institutions must modernize their data management and data governance practices. Implementing a modern data architecture makes it possible for financial institutions to break down legacy data silos, simplifying data management, governance, and integration — and driving down costs.

Data Architecture 85

Data Architecture Architecture Management Banking 85

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 ). Deploying modern data architectures. Forrester ).

Data Architecture 79

Data Architecture Architecture Data Lake NoSQL 79

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.

Architecture 124

Architecture Metadata Kafka Government 124

Cloudera

SEPTEMBER 29, 2022

They are being bombarded with literature about seemingly independent new trends like data mesh and data fabric while dealing with the reality of having to work with hybrid architectures. Each of these trends claim to be complete models for their data architectures to solve the “everything everywhere all at once” problem.

Architecture 74

Architecture Data Architecture Metadata Data Warehouse 74

Data Engineering Podcast

JULY 3, 2022

Summary The ecosystem for data tools has been going through rapid and constant evolution over the past several years. These technological shifts have brought about corresponding changes in data and platform architectures for managing data and analytical workflows. Atlan is the metadata hub for your data ecosystem.

Architecture 100

Architecture Metadata MongoDB MySQL 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

Cloudera

AUGUST 6, 2024

Over the past several years, data leaders asked many questions about where they should keep their data and what architecture they should implement to serve an incredible breadth of analytic use cases. The future for most data teams will be multi-cloud and hybrid. It no longer matters where the data is.

Metadata 82

Metadata Government Datasets Architecture 82

Precisely

JUNE 6, 2023

At Precisely’s Trust ’23 conference, Chief Operating Officer Eric Yau hosted an expert panel discussion on modern data architectures. The group kicked off the session by exchanging ideas about what it means to have a modern data architecture.

Data Architecture 52

Data Architecture Architecture Metadata Data Lake 52

Cloudera

DECEMBER 6, 2024

The AI Forecast: Data and AI in the Cloud Era , sponsored by Cloudera, aims to take an objective look at the impact of AI on business, industry, and the world at large. AI is only as successful as the data behind it. It could be metadata that you weren’t capturing before. That’s context, that’s location.

Manufacturing 82

Manufacturing Retail Finance Metadata 82

Cloudera

DECEMBER 3, 2024

For decades, they have been struggling with scale, speed, and correctness required to derive timely, meaningful, and actionable insights from vast and diverse big data environments. Despite various architectural patterns and paradigms, they still end up with perpetual “data puddles” and silos in many non-interoperable data formats.

Metadata 84

Metadata SQL Data Warehouse Database 84

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. Table of Contents What is a data fabric?

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. Table of Contents What is a data fabric?

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

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

Data Engineering Weekly

JUNE 1, 2025

Dagster for MLOps: Deep Dive into AI Orchestration Learn what it really takes to run production-grade ML systems—without breaking your architecture or compliance efforts. This announcement has triggered many interesting conversations about storing metadata in a relational database vs. object storage.

Data Engineer 70

Data Engineer Data Engineering Engineering Relational Database 70

phData: Data Engineering

NOVEMBER 1, 2024

Data Governance and Modern Data Management AI and machine learning (AI/ML) applications emerged as the leading trend in data management, significantly shaping organizations’ data platform strategies. Quotes GenAI and LLM will impact data platforms as they need a bigger amount of data to better train the models.

Government 52

Government Data Governance Finance Metadata 52

Teradata

MAY 30, 2025

`customer_demographics.sql`: Model for transforming customer demographic data. schema.yml`: YAML file defining metadata, tests, and descriptions for the models in this directory. sources: Contains source configuration files for the raw data sources. stg_customers.sql`: Staging model for transforming raw customer data.

Data Integration 52

Data Integration Raw Data Metadata Data Pipeline 52

Data Engineering Podcast

JUNE 17, 2023

Summary Architectural decisions are all based on certain constraints and a desire to optimize for different outcomes. 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. ML, reverse ETL, etc.)

Data Lake 130

Data Lake Metadata Machine Learning Data Architecture 130

Cloudera

FEBRUARY 22, 2022

Over the past decade, the successful deployment of large scale data platforms at our customers has acted as a big data flywheel driving demand to bring in even more data, apply more sophisticated analytics, and on-board many new data practitioners from business analysts to data scientists.

Metadata 110

Metadata Datasets BI SQL 110

Cloudera

JUNE 7, 2022

In our very own Enterprise Data Maturity research surveying over 3,000 IT and senior business leaders, we found that 40% of organizations are currently running hybrid but mostly on-premises, and 36% of respondents expect to shift to hybrid multi-cloud in the next 18 months. Where data flows, ideas follow.

IT 112

IT Unstructured Data Government Data Architecture 112

Precisely

DECEMBER 9, 2024

To name a few: privacy and security considerations compliance demands interest in emerging data management architectures like data mesh and data fabric increased AI adoption The findings show that data governance is the most-cited data challenge inhibiting progress toward AI initiatives (62%).

Data Governance 64

Data Governance Government Data Integration Architecture 64

Snowflake

JUNE 21, 2024

Snowflake is now making it even easier for customers to bring the platform’s usability, performance, governance and many workloads to more data with Iceberg tables (now generally available), unlocking full storage interoperability. Get better Iceberg ecosystem interoperability with Primary Key information added to Iceberg table metadata.

Data Lake 124

Data Lake BI Business Intelligence Government 124

Data Engineering Weekly

FEBRUARY 23, 2025

It covers nine categories: storage systems, data lake platforms, processing, integration, orchestration, infrastructure, ML/AI, metadata management, and analytics. It allows different data platforms to access and share the same underlying data without copying, treating OTFs as a storage-layer abstraction.

Data Engineer 62

Data Engineer Data Engineering Engineering Kafka 62

Snowflake

NOVEMBER 2, 2023

Over the years, the technology landscape for data management has given rise to various architecture patterns, each thoughtfully designed to cater to specific use cases and requirements. Each of these architectures has its own unique strengths and tradeoffs.

Data Lake 115

Data Lake Data Warehouse Cloud Unstructured Data 115

Cloudera

MAY 2, 2022

There are many reasons to deploy a hybrid cloud architecture — not least cost, performance, reliability, security, and control of infrastructure. But increasingly at Cloudera, our clients are looking for a hybrid cloud architecture in order to manage compliance requirements.

Cloud 104

Cloud Government Metadata Healthcare 104

Data Engineering Podcast

SEPTEMBER 23, 2018

Can you walk through the stages of an ideal lifecycle for data within the context of an organizations uses for it? What are some of the common mistakes that are made when designing a data architecture and how do they lead to failure?

Data Lake 100

Data Lake Data Warehouse Data Architecture Architecture 100

ProjectPro

JUNE 6, 2025

Choosing a data warehousing tool is a strategic decision for organizations seeking to leverage their data effectively. Check out the highlights shared by Ritesh Shergill, who is a seasoned professional with a background in cybersecurity and software architecture on choosing the right data warehouse.

Data Storage 58

Data Storage PostgreSQL Data Warehouse AWS 58

Cloudera

MARCH 23, 2022

In fact, we recently announced the integration with our cloud ecosystem bringing the benefits of Iceberg to enterprises as they make their journey to the public cloud, and as they adopt more converged architectures like the Lakehouse. 1: Multi-function analytics . 3: Open Performance.

Metadata 92

Metadata BI Data Architecture Machine Learning 92

Cloudyard

MARCH 4, 2023

Read Time: 5 Minute, 16 Second As we know Snowflake has introduced latest badge “Data Cloud Deployment Framework” which helps to understand knowledge in designing, deploying, and managing the Snowflake landscape. Respective Cloud would consume/Store the data in bucket or containers. Snowpipe to automate the ingestion process.

Architecture 52

Architecture Cloud Metadata Data Ingestion 52

DataKitchen

AUGUST 3, 2021

The data mesh design pattern breaks giant, monolithic enterprise data architectures into subsystems or domains, each managed by a dedicated team. But first, let’s define the data mesh design pattern. The past decades of enterprise data platform architectures can be summarized in 69 words.

Pharmaceutical 98

Pharmaceutical Data Lake Data Architecture Scala 98

Cloudera

SEPTEMBER 28, 2020

Cloudera has found that customers have spent many years investing in their big data assets and want to continue to build on that investment by moving towards a more modern architecture that helps leverage the multiple form factors. This has a great architectural insight into Hive on Tez. Background: . on roadmap).

Cloud 132

Cloud Kafka Professional Services Metadata 132

Netflix Tech

NOVEMBER 14, 2023

Psyberg automates our data loads, making it suitable for various data processing needs, including intraday pipeline use cases. It leverages Iceberg metadata to facilitate processing incremental and batch-based data pipelines. Psyberg: The Game Changer! This is mainly used to identify new changes since the last update.

Data Engineer 110

Data Engineer Data Engineering Engineering Metadata 110

AltexSoft

FEBRUARY 11, 2023

This specialist works closely with people on both business and IT sides of a company to understand the current needs of the stakeholders and help them unlock the full potential of data. To get a better understanding of a data architect’s role, let’s clear up what data architecture is.

Data Architect 87

Data Architect Certification Generalist Metadata 87

ProjectPro

JUNE 6, 2025

Becoming a Big Data Engineer - The Next Steps Big Data Engineer - The Market Demand An organization’s data science capabilities require data warehousing and mining, modeling, data infrastructure, and metadata management. Most of these are performed by Data Engineers.

Big Data 40

Big Data Data Engineer Data Engineering Engineering 40

Cloudera

JUNE 30, 2022

With Cloudera’s vision of hybrid data , enterprises adopting an open data lakehouse can easily get application interoperability and portability to and from on premises environments and any public cloud without worrying about data scaling. Why integrate Apache Iceberg with Cloudera Data Platform?

Data Lake 88

Data Lake Business Intelligence Metadata Data Warehouse 88

Snowflake

DECEMBER 12, 2023

To give customers flexibility for how they fit Snowflake into their data architecture, Iceberg Tables can be configured to use either Snowflake or an external service such as AWS Glue as the table’s catalog to track metadata, with an easy, one-line SQL command to convert the table’s catalog to Snowflake in a metadata-only operation.

Metadata 118

Metadata Government Python AWS 118

Monte Carlo

FEBRUARY 9, 2023

Over the past several years, data warehouses have evolved dramatically, but that doesn’t mean the fundamentals underpinning sound data architecture needs to be thrown out the window. While data vault has many benefits, it is a sophisticated and complex methodology that can present challenges to data quality.

Architecture 52

Architecture Raw Data Metadata Data Warehouse 52