Ontotext

NOVEMBER 16, 2023

Figure 1 Shows the overall idea of a data mesh with the major components: What Is a Data Mesh and How Does It Work? Think of data mesh as an operational mode for organizations with a domain-driven, decentralized data architecture.

Metadata 52

Metadata Data-driven Data Quality Data Architecture 52

DataKitchen

NOVEMBER 29, 2021

From our unique vantage point in the evolution toward DataOps automation, we publish an annual prediction of trends that most deeply impact the DataOps enterprise software industry as a whole. Data Gets Meshier. 2022 will bring further momentum behind modular enterprise architectures like data mesh.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

AWS Big Data

AUGUST 2, 2023

The Economic Input-Output Life Cycle Assessment (EIO LCA) method is a spend-based method that combines expenditure data with monetary-based emission factors to estimate the emissions produced. The emission factors are published by the U.S. Environment Protection Agency (EPA) and other peer-reviewed academic and government sources.

Data Lake 74

Data Lake Measurement Visualization Data Architecture 74

IBM Big Data Hub

JANUARY 18, 2023

In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity. It required a different data platform solution. Hence, Data Lake emerged, which handles unstructured and structured data with huge volume. Data discoverability. Data mesh: A mostly new culture.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

IBM Big Data Hub

APRIL 27, 2022

Data fabric and data mesh are emerging data management concepts that are meant to address the organizational change and complexities of understanding, governing and working with enterprise data in a hybrid multicloud ecosystem. The good news is that both data architecture concepts are complimentary.

Management 83

Management Metadata Data Architecture Data Lake 83

AWS Big Data

JUNE 7, 2023

Cargotec captures terabytes of IoT telemetry data from their machinery operated by numerous customers across the globe. This data needs to be ingested into a data lake, transformed, and made available for analytics, machine learning (ML), and visualization. The export process on the source account is a scheduled job.

Metadata 56

Metadata Data Lake Machine Learning Big Data 56

DataKitchen

OCTOBER 11, 2021

First, you must understand the existing challenges of the data team, including the data architecture and end-to-end toolchain. Figure 2: Example data pipeline with DataOps automation. In this project, I automated data extraction from SFTP, the public websites, and the email attachments.

Testing 152

Testing Metadata Dashboards Statistics 152

Cloudera

NOVEMBER 18, 2020

We also celebrated the first-ever winner of the Data Impact Achievement Award — a new award category that recognizes one customer who has consistently achieved transformation across their business, pursuing a diverse set of use cases and creating a culture of data-driven innovation. . Data Impact Achievement Award.

Internet Publishing and Broadcasting 118

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 118

Cloudera

OCTOBER 7, 2021

Those decentralization efforts appeared under different monikers through time, e.g., data marts versus data warehousing implementations (a popular architectural debate in the era of structured data) then enterprise-wide data lakes versus smaller, typically BU-Specific, “data ponds”.

Metadata 122

Metadata Cost-Benefit Enterprise Interactive 122

AWS Big Data

SEPTEMBER 21, 2023

Integrating Satori with Amazon Redshift accelerates organizations’ ability to make use of their data to generate business value. This faster time-to-value is achieved by enabling companies to manage data access more efficiently and effectively. Lisa Levy is a Content Specialist at Satori.

Data Warehouse 88

Data Warehouse Interactive Data Architecture Data Lake 88

Peter James Thomas

APRIL 9, 2019

Overall the total number of articles and new pages I published exceeded 2017’s figures to claim the second spot behind 2009; our first year in business. This article offers a framework for building momentum in the early stages of a Data Programme. Analytics & Big Data. Draining the Swamp. Convergent Evolution.

Data-driven 49

Data-driven Statistics Big Data Data Science 49

AWS Big Data

JULY 14, 2023

These inputs reinforced the need of a unified data strategy across the FinOps teams. We decided to build a scalable data management product that is based on the best practices of modern data architecture. Our source system and domain teams were mapped as data producers, and they would have ownership of the datasets.

Finance 85

Finance Metadata Big Data Recreation/Entertainment 85

Cloudera

NOVEMBER 27, 2023

Consider a few factors: First, many have been using Kafka as long-term storage and have seen their clusters grow without the same elasticity and accessibility one would expect from a modern data lake. For now, Flink plus Iceberg is the compute plus storage solution for streaming data.

Data Lake 78

Data Lake Advertising ROI Data Warehouse 78