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.

Cost-Benefit 74

Cost-Benefit Big Data ROI Risk 74

Alation

FEBRUARY 20, 2020

For many enterprises, a hybrid cloud data lake is no longer a trend, but becoming reality. Due to these needs, hybrid cloud data lakes emerged as a logical middle ground between the two consumption models. Without business context, business users are less likely to use the data lake and insights will be hard to come by.

Data Lake 52

Data Lake ROI Metadata Cost-Benefit 52

Alation

FEBRUARY 20, 2020

When it was no longer a hard requirement that a physical data model be created upon the ingestion of data, there was a resulting drop in richness of the description and consistency of the data stored in Hadoop. You did not have to understand or prepare the data to get it into Hadoop, so people rarely did.

Data Lake 52

Data Lake Metadata Structured Data Big Data 52

Cloudera

NOVEMBER 12, 2020

Over-sizing” helps during times of peak demand but justifying the ROI for such over-provisioning is next to impossible. Inability to maintain context – This is the worst of them all because every time a data set or workload is re-used, you must recreate its context including security, metadata, and governance.

Data Warehouse 102

Data Warehouse Reporting Risk Cost-Benefit 102

In(tegrate) the Clouds

DECEMBER 21, 2015

Aside from the Internet of Things, which of the following software areas will experience the most change in 2016 – big data solutions, analytics, security, customer success/experience, sales & marketing approach or something else? 2016 will be the year of the data lake. I’ve also heard the term ‘dinocorns.’)

Technology 45

Technology Internet of Things Digital Transformation Software 45

Domino Data Lab

AUGUST 8, 2019

I mention this here because there was a lot of overlap between current industry data governance needs and what the scientific community is working toward for scholarly infrastructure. The gist is, leveraging metadata about research datasets, projects, publications, etc., Do those concerns sound familiar? Nothing Spreads Like Fear”.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Andrew White

JANUARY 11, 2021

Does Data warehouse as a software tool will play role in future of Data & Analytics strategy? You cannot get away from a formalized delivery capability focused on regular, scheduled, structured and reasonably governed data. Data lakes don’t offer this nor should they. Data management. D&A governance.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

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 109

Data Warehouse Cost-Benefit Machine Learning Modeling 109

Alation

MARCH 21, 2023

Use cases for analytics in travel and tourism How can travel and tourism companies use data analytics to improve business ROI? Below are a few examples demonstrating how these organizations wield data as a strategic asset for the business. Using Alation, ARC automated the data curation and cataloging process. “So

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Alation

JULY 18, 2022

To ensure you can deliver on this world-changing vision of data, Alation helps you maximize the value of your data lake with integrations to the Unity catalog. With the upcoming release of the Databricks Unity Catalog, Alation is excited to amplify the existing integration with Databricks. A Giant Partnership and a Giants Game.

ROI 52

ROI Metadata Data Lake Digital Transformation 52

erwin

AUGUST 31, 2023

It delivers the ability to capture and unify the business and technical perspectives of data assets, enables effective collaboration between a variety of stakeholders, and delivers metadata-driven automation to accelerate the creation and maintenance of data sources on virtually any data management platform.

Data-driven 98

Data-driven Modeling Enterprise Structured Data 98

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 65

Data Architecture Data Lake Machine Learning Data Governance 65

Alation

FEBRUARY 17, 2023

Discussing time-to-value, the ROI of good data use, sales growth, and cost reductions are a great set of examples to use and build confidence in your governance program. Can you differentiate between governance of raw data and enhanced data (information)? Second, think like an executive. What do they care about?

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

Alation

AUGUST 2, 2022

Customer centricity requires modernized data and IT infrastructures. Too often, companies manage data in spreadsheets or individual databases. This means that you’re likely missing valuable insights that could be gleaned from data lakes and data analytics. Data discovery was conducted 67% times faster.

Strategy 52

Strategy Cost-Benefit Metrics Data Lake 52