DataKitchen

JUNE 24, 2021

Previously we would have a very laborious data warehouse or data mart initiative and it may take a very long time and have a large price tag. Bergh added, “ DataOps is part of the data fabric. You should use DataOps principles to build and iterate and continuously improve your Data Fabric. Design for measurability.

Metrics 211

Metrics ROI Measurement Cost-Benefit 211

AWS Big Data

MARCH 7, 2023

Data lakes are more focused around storing and maintaining all the data in an organization in one place. And unlike data warehouses, which are primarily analytical stores, a data hub is a combination of all types of repositories—analytical, transactional, operational, reference, and data I/O services, along with governance processes.

Analytics 97

Analytics Data Warehouse Data Lake Metadata 97

Cloudera

NOVEMBER 12, 2020

Over-sizing” helps during times of peak demand but justifying the ROI for such over-provisioning is next to impossible. Your sunk costs are minimal and if a workload or project you are supporting becomes irrelevant, you can quickly spin down your cloud data warehouses and not be “stuck” with unused infrastructure.

Data Warehouse 104

Data Warehouse Reporting Risk Cost-Benefit 104

IBM Big Data Hub

MAY 9, 2023

A foundation model thus makes massive AI scalability possible, while amortizing the initial work of model building each time it is used, as the data requirements for fine tuning additional models are much lower. This results in both increased ROI and much faster time to market.

Data Warehouse 106

Data Warehouse Machine Learning Cost-Benefit Metadata 106

Timo Elliott

NOVEMBER 30, 2022

And I’ve found that the Signavio solutions are a great way to help build the ROI case for innovation. Because of technology limitations, we have always had to start by ripping information from the business systems and moving it to a different platform—a data warehouse, data lake, data lakehouse, data cloud.

Recreation/Entertainment 98

Recreation/Entertainment Metadata Data Warehouse Cost-Benefit 98

Octopai

MARCH 24, 2020

Let’s start with automated tools that foster the seamless interaction of multiple metadata best practices, such as data discovery, data lineage and the use of a business glossary. Here is an overview of how automated metadata management makes your business intelligence smarter. How Can Smarter BI Impact Your Company?

Metadata 61

Metadata Cost-Benefit Business Intelligence Data Warehouse 61

Timo Elliott

JUNE 19, 2023

I’ve really found that it’s a fantastic way of explaining the benefits, the possible ROI, from digital transformation, which historically has been something that’s relatively hard to do. The next area is data. There’s a huge disruption around data. It works, but it’s a lot of hard work.

Data Lake 105

Data Lake Digital Transformation Recreation/Entertainment Technology 105

Ontotext

AUGUST 22, 2023

Poor data management, data silos, and a lack of a common understanding across systems and/or teams are the root cause that prohibits an organization from scaling the business in a dynamic environment. As a result, organizations have spent untold money and time gathering and integrating data.

Metadata 52

Metadata Knowledge Discovery Big Data Enterprise 52

Cloudera

AUGUST 21, 2020

There are now tens of thousands of instances of these Big Data platforms running in production around the world today, and the number is increasing every year. Many of them are increasingly deployed outside of traditional data centers in hosted, “cloud” environments. OpEx savings and probable ROI once migrated.

Big Data 76

Big Data Cost-Benefit ROI Risk 76

IBM Big Data Hub

AUGUST 4, 2023

By leveraging data services and APIs, a data fabric can also pull together data from legacy systems, data lakes, data warehouses and SQL databases, providing a holistic view into business performance. It uses knowledge graphs, semantics and AI/ML technology to discover patterns in various types of metadata.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

In(tegrate) the Clouds

DECEMBER 21, 2015

2016 will be the year of the data lake. It will surround and, in some cases, drown the data warehouse, and we’ll see significant technology innovations, methodologies and reference architectures that turn the promise into a reality. I’ve also heard the term ‘dinocorns.’) Read the rest of the answers.

Technology 45

Technology Internet of Things Digital Transformation Big Data 45

Andrew White

JANUARY 11, 2021

See recorded webinars: Emerging Practices for a Data-driven Strategy. Data and Analytics Governance: Whats Broken, and What We Need To Do To Fix It. Link Data to Business Outcomes. Does Data warehouse as a software tool will play role in future of Data & Analytics strategy? Data management.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Data Virtualization

OCTOBER 18, 2022

Reading Time: 4 minutes “Le roi est mort, vive le roi.” The post The Data Warehouse is Dead, Long Live the Data Warehouse, Part I appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Warehouse 98

Data Warehouse ROI Data Integration Internet of Things 98

Jet Global

MAY 1, 2023

Return on Investment Now we bring it all together to calculate the ROI on embedded analytics. Costs: The investment in developing and maintaining the solution. “-1”: The formula assures that a positive ROI is achieved only when benefits exceed the costs. The formula looks like this: ($750k / $250k) = 3, so the ROI is 200 percent.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Cloudera

DECEMBER 3, 2024

Constant data duplication, complex Extract, Transform & Load (ETL) pipelines, and sprawling infrastructure leads to prohibitively expensive solutions, adversely impacting the Time to Value, Time to Market, overall Total Cost of Ownership (TCO), and Return on Investment (ROI) for the business.

Metadata 84

Metadata Data Warehouse ROI Machine Learning 84

Cloudera

OCTOBER 10, 2024

The open data lakehouse is quickly becoming the standard architecture for unified multifunction analytics on large volumes of data. It combines the flexibility and scalability of data lake storage with the data analytics, data governance, and data management functionality of the data warehouse.

Optimization 84

Optimization Snapshot Data Lake Cost-Benefit 84

AWS Big Data

MARCH 21, 2025

Traditionally, answering this question would involve multiple data exports, complex extract, transform, and load (ETL) processes, and careful data synchronization across systems. The existing Data Catalog becomes the Default catalog (identified by the AWS account number) and is readily available in SageMaker Lakehouse.

Data Warehouse 109

Data Warehouse Metadata Publishing Sales 109