AWS Big Data

DECEMBER 5, 2023

To fill in the gaps in existing data, HR&A creates digital equity surveys to build a more complete picture before developing digital equity plans. HR&A has used Amazon Redshift Serverless and CARTO to process survey findings more efficiently and create custom interactive dashboards to facilitate understanding of the results.

Measurement 85

Measurement Dashboards Data Warehouse Analytics 85

Cloudera

APRIL 20, 2022

However, consider all the data collection, merging, analyzing and storing this simple interaction requires; it’s not so simple. Data needs to be stored for treatment, drug interactions and/or allergies, patient records, compliance, pharmacy, payment and insurance purposes.

Insurance 98

Insurance Measurement Data Lake Risk 98

CIO Business Intelligence

SEPTEMBER 8, 2022

Most organizations understand the profound impact that data is having on modern business. In Foundry’s 2022 Data & Analytics Study , 88% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change their business models over the next three years.

Cost-Benefit 114

Cost-Benefit Internet of Things Data-driven Data Lake 114

IBM Big Data Hub

AUGUST 4, 2023

Architecture for data democratization Data democratization requires a move away from traditional “data at rest” architecture, which is meant for storing static data. Traditionally, data was seen as information to be put on reserve, only called upon during customer interactions or executing a program.

Data Architecture 62

Data Architecture Data Lake Machine Learning Data Governance 62

Cloudera

DECEMBER 8, 2020

Federated Learning is a paradigm in which machine learning models are trained on decentralized data. Instead of collecting data on a single server or data lake, it remains in place — on smartphones, industrial sensing equipment, and other edge devices — and models are trained on-device.

Machine Learning 85

Machine Learning Data Lake Reporting Modeling 85

CIO Business Intelligence

JULY 12, 2023

P&G engineers developed a high-speed data collection system to capture data to use for training AI models. One challenge they faced is that, while production errors are extremely costly and disruptive, they don’t happen often, which means that failure events are underrepresented in the training data.

Manufacturing 97

Manufacturing Cost-Benefit Data Lake Optimization 97

Ontotext

NOVEMBER 16, 2023

In a data mesh, domains are represented by a node, which can be an operational data store (ODS), a data warehouse, or a data lake tailored to the domain’s requirements. The owner also provides infrastructure and mechanisms to permit data producers and consumers to interact.

Metadata 52

Metadata Data-driven Data Quality Data Architecture 52

CIO Business Intelligence

NOVEMBER 28, 2023

“The insights derived from this audio data have directly contributed to improving the game’s audio experience, ensuring that players are constantly emotionally engaged in the gameplay and interacting with the environment,” Konoval says. Games are dynamic, and so is the data they generate, Konoval says.

Unstructured Data 127

Unstructured Data Data-driven Visualization Data Quality 127

AWS Big Data

FEBRUARY 21, 2023

At the heart of all data warehousing is integration, and this layer contains integrated data from multiple sources built around the enterprise-wide business keys. Although data lakes resemble data vaults, a data vault provides more features of a data warehouse. What is a hybrid model?

Data Warehouse 67

Data Warehouse Data Lake Cost-Benefit Modeling 67

Cloudera

JUNE 6, 2019

When a mix of batch, interactive, and data serving workloads are added to the mix, the problem becomes nearly intractable. While this approach provides isolation, it creates another significant challenge: duplication of data, metadata, and security policies, or ‘split-brain’ data lake. Cloudera Manager (CM) 6.2

Metadata 86

Metadata Data Lake Optimization Strategy 86

Darkhorse

JULY 6, 2017

So what is data wrangling? Let’s imagine the process of building a data lake. First off, data wrangling is gathering the appropriate data. You’ve got yourself a little data lake, but its waters are brackish. It’s time to start digging into the data content. I hope you enjoy that sort of thing.

Data Lake 74

Data Lake Sales Machine Learning Visualization 74

Alation

AUGUST 2, 2022

Similary, every touchpoint offers data that can help you improve that customer experience, from the number and duration of support interactions to the intuitiveness of your website. Analyzing this data can build your ability to anticipate a customer’s specific needs. But customers aren’t data; they’re people.

Strategy 52

Strategy Cost-Benefit Metrics Data Lake 52

Alation

JULY 7, 2022

To answer these questions we need to look at how data roles within the job market have evolved, and how academic programs have changed to meet new workforce demands. In the 2010s, the growing scope of the data landscape gave rise to a new profession: the data scientist. Supporting the next data-literate generation.

Metadata 52

Metadata Data-driven Insurance Statistics 52