DataKitchen

JUNE 12, 2023

Today we have had over 20,000 signatures , millions of page views, and copycat clones, and it is frequently used as a reference guide. For example, just a few weeks ago, Microsoft announced data fabric, and John Kerski used it to frame up the discussion of how Microsoft data fabric supports DataOps principles.

Testing 130

Testing Data Lake Dashboards Data Science 130

AWS Big Data

APRIL 19, 2023

Independent data products often only have value if you can connect them, join them, and correlate them to create a higher order data product that creates additional insights. A modern data architecture is critical in order to become a data-driven organization. Mike is the author of two books and numerous articles.

Technology 83

Technology Data-driven Machine Learning Sales 83

TDAN

OCTOBER 18, 2022

“Technical debt” refers to the implied cost of future refactoring or rework to improve the quality of an asset to make it easy to understand, work with, maintain, and extend.

Software 94

Software Data Architecture IT Data Quality 94

Cloudera

SEPTEMBER 15, 2022

Mark: The first element in the process is the link between the source data and the entry point into the data platform. At Ramsey International (RI), we refer to that layer in the architecture as the foundation, but others call it a staging area, raw zone, or even a source data lake. What is a data fabric?

Data Lake 83

Data Lake Data Architecture Data-driven Data Warehouse 83

TDAN

JULY 19, 2022

In reference to the prior column on enterprise data management and high level lego framework, this column reviews in detail the foundational layer of Organization Mission, Level 1.

Strategy 52

Strategy Enterprise Management Modeling 52

AWS Big Data

JUNE 29, 2023

For more details, refer to Deploying a data source connector or Using the AWS Serverless Application Repository to deploy a data source connector. On the Athena console, under Administration in the navigation pane, choose Data sources. Create a governance dashboard with the appropriate visualization type.

Data Warehouse 60

Data Warehouse Dashboards Testing Visualization 60

Alation

FEBRUARY 20, 2020

Experts who understand certain datasets often play the stewardship role of ensuring that data consumers can make accurate and effective use of data. More recently, data governance initiatives have started to assign formal stewardship responsibility. In the release of Alation 4.0,

Metadata 52

Metadata Enterprise Data Processing Data Architecture 52

TDAN

AUGUST 20, 2019

We hope your Data Management career and programs are progressing well. If you have issues, please refer to DAMA.org for references, as well as the DAMA Data Management Body of Knowledge (DMBok). Good day from DAMA International. You can purchase the DMBoK at your favorite book source or via website link.

Management 40

Management Data Quality Data Architecture Data Governance 40

Peter James Thomas

OCTOBER 30, 2018

All the references I can find to it are modern pieces comparing it to the CDO role, so perhaps it is apochryphal. This may purely be focused on cultural aspects of how an organisation records, shares and otherwise uses data. It may be to build a new (or a first) Data Architecture. It may be to improve Data Quality.

Marketing 51

Marketing Strategy Data Architecture Data Strategy 51

AWS Big Data

JANUARY 24, 2023

AWS Lake Formation helps with enterprise data governance and is important for a data mesh architecture. It works with the AWS Glue Data Catalog to enforce data access and governance. He specializes in migrating enterprise data warehouses to AWS Modern Data Architecture.

Data Architecture 67

Data Architecture Metadata Data Lake Snapshot 67

AWS Big Data

APRIL 28, 2023

The third post will show how end-users can consume data from their tool of choice, without compromising data governance. When building a scalable data architecture on AWS, giving autonomy and ownership to the data domains are crucial for the success of the platform.

Data Governance 65

Data Governance Management Data-driven Data Lake 65

Anmut

MARCH 24, 2022

This type of data landscape is usually created using innovative data discovery tools like Amundsen , Nemo , and DataHub as part of a company’s data transformation efforts. The use cases and customer outcomes your data supports and the quantifiable value your data creates for the business.

ROI 52

ROI Measurement Data-driven Data Transformation 52

Sisense

JULY 6, 2020

First off, this involves defining workflows for every business process within the enterprise: the what, how, why, who, when, and where aspects of data. Like any complex system, your company’s EDM system is made up of a multitude of smaller subsystems, each of which has a specific role in creating the final data products.

Enterprise 98

Enterprise Management Data Architecture Strategy 98

CIO Business Intelligence

SEPTEMBER 20, 2023

What we seek is to have a clear data architecture with a single point of origin for the information and for it to be consumed by whomever applies BI, advanced analytics, and so on. For this, we’re also working on creating a platform in the cloud for each country, which puts order in the data architecture.

Modeling 98

Modeling Insurance IT Cost-Benefit 98

AWS Big Data

JANUARY 22, 2024

Discussions with users showed they were happier to have faster access to data in a simpler way, a more structured data organization, and a clear mapping of who the producer is. A lot of progress has been made to advance their data-driven culture (data literacy, data sharing, and collaboration across business units).

Data-driven 85

Data-driven Advertising Metadata Data Architecture 85

IBM Big Data Hub

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data. The post Data integrity vs. data quality: Is there a difference?

Data Quality 63

Data Quality Data Integration Metadata Cost-Benefit 63

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. Enterprise grade security and data governance – centralized data authorization to lineage and auditing.

Metadata 92

Metadata Data Architecture Machine Learning Cost-Benefit 92

BizAcuity

APRIL 14, 2022

The comprehensive system which collectively includes generating data, storing the data, aggregating and analyzing the data, the tools, platforms and other softwares involved is referred to as Big Data Ecosystem. There are a wide range of problems that are presented to organizations when working with big data.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

Ontotext

JANUARY 10, 2024

Overall, RDF graphs are much finer-grained and enable better data governance and flexibility, while LPGs have proven to be more efficient in some graph analytics tasks. To implement a data fabric pattern, on the other hand, we need data management tools for data integration, data quality, and data governance.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. This consolidated view acts as a liaison between the data platform and customer-centric applications.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

AWS Big Data

MARCH 27, 2023

Data producers can use the data mesh platform to create datasets and share them across business teams to ensure data availability, reliability, and interoperability across functions and data subject areas. In the navigation pane, choose Data lake permissions. Choose the crawler IAM role for the principal account.

Data Lake 86

Data Lake Data-driven Management Data Architecture 86

Peter James Thomas

MAY 3, 2019

Control of Data to ensure it is Fit-for-Purpose. This refers to a wide range of activities from Data Governance to Data Management to Data Quality improvement and indeed related concepts such as Master Data Management. Data Architecture / Infrastructure.

Strategy 55

Strategy Data Architecture Data Quality Data Strategy 55

AWS Big Data

JULY 21, 2023

This leads to having data across many instances of data warehouses and data lakes using a modern data architecture in separate AWS accounts. For instructions, refer to Getting started with AWS CloudShell or Set up the AWS CLI , respectively. If you don’t have an account, you can create one.

Data Lake 87

Data Lake Data Warehouse Marketing Management 87

Andrew White

JANUARY 9, 2022

Most of D&A concerns and activities are done within EA in the Info/Data architecture domain/phases. Much of the analytics architecture takes place at the solution architecture level since we should be looking at business process and decision design. – Data (and analytics) governance remains a challenge.

Analytics 64

Analytics Measurement Modeling Data-driven 64

Alation

JANUARY 25, 2022

The data catalog is a foundational layer of the data fabric. This zoomed-in version has references to corresponding vendor markets removed.). Using this diagram as our guide, this blog will deep-dive into each layer of the data fabric, starting with the data catalog. The Power of Social Metadata.

Metadata 52

Metadata IT Metrics Data-driven 52

Peter James Thomas

AUGUST 2, 2019

Data Architecture – Definition (2). Data Catalogue. Data Community. Data Domain (contributor: Taru Väre ). Data Enrichment. Data Federation. Data Function. Data Model. Data Operating Model. Geospatial Data. Reference Data (contributor: George Firican ).

Analytics 69

Analytics Data Analytics Data Architecture Statistics 69

AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale.

Data Lake 114

Data Lake Metadata Optimization Statistics 114

erwin

APRIL 16, 2024

The data mesh framework In the dynamic landscape of data management, the search for agility, scalability, and efficiency has led organizations to explore new, innovative approaches. One such innovation gaining traction is the data mesh framework. This empowers individual teams to own and manage their data.

Metadata 52

Metadata Data Quality Data Governance Modeling 52

IBM Big Data Hub

AUGUST 4, 2023

In turn, they both must also have the data literacy skills to be able to verify the data’s accuracy, ensure its security, and provide or follow guidance on when and how it should be used. Data democratization uses a fit-for-purpose data architecture that is designed for the way today’s businesses operate, in real-time.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

BI-Survey

JANUARY 15, 2023

Data architecture is a topic that is as relevant today as ever. It is widely regarded as a matter for data engineers, not business domain experts. Statements from countless interviews with our customers reveal that the data warehouse is seen as a “black box” by many and understood by few business users. But is it really?

Data Warehouse 52

Data Warehouse IT Data Architecture Measurement 52

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 124

Metadata Cost-Benefit Enterprise Interactive 124

DataKitchen

JANUARY 23, 2023

Data lineage can also be used for compliance, auditing, and data governance purposes. DataOps Observability Five on data lineage: Data lineage traces data’s origin, history, and movement through various processing, storage, and analysis stages. What is missing in data lineage?

Testing 130

Testing Data Governance Data Quality Data-driven 130

CIO Business Intelligence

MARCH 28, 2022

Associate Principal Analyst Nolan Hart calls the proper EA scope “the least number of deliverables, such as viewpoints, reference models and design patterns, that help ensure timely, compliant delivery of products and solutions.” Gartner Inc.

Enterprise 105

Enterprise Measurement Reporting Cost-Benefit 105

Alation

OCTOBER 12, 2021

Like many, the team at Cbus wanted to use data to more effectively drive the business. “Finding the right data was a real challenge,” recalls John Gilbert, Data Governance Manager. Implementing adaptive, active data governance. Set expectations for usage based on role and data source.

Strategy 52

Strategy Enterprise Analytics Data Governance 52