Cloudera

JUNE 22, 2023

These dis-integrated resources are “data platforms” in name only: in addition to their high maintenance costs, their lack of interoperability with other critical systems makes it difficult to respond to business change. The top-line benefits of a hybrid data platform include: Cost efficiency. Simplified compliance.

Cost-Benefit 66

Cost-Benefit Digital Transformation Data Governance Unstructured Data 66

datapine

FEBRUARY 22, 2022

2) BI Strategy Benefits. Over the past 5 years, big data and BI became more than just data science buzzwords. In response to this increasing need for data analytics, business intelligence software has flooded the market. The costs of not implementing it are more damaging, especially in the long term.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Cloudera

OCTOBER 7, 2021

Within the context of a data mesh architecture, I will present industry settings / use cases where the particular architecture is relevant and highlight the business value that it delivers against business and technology areas. A Client Example.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

AWS Big Data

MARCH 10, 2023

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats.

Data Lake 105

Data Lake Sales Data Warehouse Snapshot 105

Laminar Security

MAY 3, 2023

They define DSPM technologies this way: “DSPM technologies can discover unknown data and categorize structured and unstructured data across cloud service platforms. That the data satisfy a myriad of other privacy and governance needs. Which is to say nothing of data security’s mandate: that the data be secure.

Management 52

Management Risk Risk Management Data Processing 52

Domino Data Lab

JULY 2, 2019

Moreover, they can be replaced with machine learning models to improve performance dramatically: “We have demonstrated that machine learned models have the potential to provide significant benefits over state-of-the-art indexes, and we believe this is a fruitful direction for future research.” That represents runtime overhead.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105