AWS Big Data

NOVEMBER 15, 2023

Additionally, it incorporates BMW Group’s internal system to integrate essential metadata, offering a comprehensive view of the data across various dimensions, such as group, department, product, and applications. It is possible to define stages (DEV, INT, PROD) in each layer to allow structured release and test without affecting PROD.

Dashboards 97

Dashboards Analytics Metadata Data Warehouse 97

Alation

AUGUST 26, 2021

It includes intelligence about data, or metadata. The earliest DI use cases leveraged metadata — EG, popularity rankings reflecting the most used data — to surface assets most useful to others. Cloud Transformation. Digital Transformation. Again, metadata is key. Data Intelligence and Metadata.

Metadata 64

Metadata Data Governance Dashboards Software 64

IBM Big Data Hub

JANUARY 8, 2024

IBM ® created an AI assistant named OLGA that offered case categorization, extracted metadata and could help bring cases to faster resolution. The courts needed a transparent, traceable system that protected data. Between 10,000 and 15,000 cases related to passenger rights (e.g.

Management 85

Management IT Digital Transformation Metadata 85

AWS Big Data

FEBRUARY 7, 2024

Download the IAM Identity Center SAML metadata file to use in a later step. This is for testing only; do not use this for production environments. Choose Import from XML file and import the IAM Identity Center SAML metadata file that you downloaded in an earlier step. Take note of the group ID. Create a new custom SAML 2.0

Dashboards 85

Dashboards Data Processing Metadata Consulting 85

Ontotext

MAY 16, 2024

Building data and knowledge models, data onboarding, ontology development, source-to-target mapping, identity and meaning resolution and testing are all areas of activity to address. Hence it is advisable for enterprises to leverage semantic metadata as the core for facilitating data connections.

Enterprise 52

Enterprise Data-driven Cost-Benefit Digital Transformation 52

Ontotext

JULY 13, 2023

For example, offering more of the same product or content instead of complementary items Analytics tools that don’t really support decision making Chatbots that fail the Alan Turing test You name it! Knowledge graphs allow organizations to enrich it with semantic metadata, making it ready to be used across teams and enterprise systems.

Enterprise 52

Enterprise Metadata Digital Transformation Software 52

Alation

APRIL 18, 2023

This is accomplished by analyzing one or multiple data sources and collecting metadata that shows the condition of the data and enables the data steward to investigate the origin of data errors. Data migration Digital transformation is ongoing. Do you need to add metadata to information to put it in a data lake?

IT 52

IT Metadata Data Quality Data Governance 52

CIO Business Intelligence

MAY 6, 2022

Rob Bence, director of digital transformation at United, says customization for Agent on Demand goes far beyond hooking into Acquire.io’s Web Real-Time Communications (WebRTC) protocol for audio/video communications. Meanwhile, with peak summer travel approaching, Agent on Demand will soon be battle-tested like never before.

Uncertainty 92

Uncertainty Testing Digital Transformation Metadata 92

AWS Big Data

DECEMBER 21, 2023

After the data lands in Amazon S3, smava uses the AWS Glue Data Catalog and crawlers to automatically catalog the available data, capture the metadata, and provide an interface that allows querying all data assets. Changes on the Git repository are automatically deployed to a test stage and validated using automated integration tests.

Data Lake 91

Data Lake Data Warehouse Data-driven B2B 91

AWS Big Data

OCTOBER 18, 2023

FINRA centralizes all its data in Amazon Simple Storage Service (Amazon S3) with a remote Hive metastore on Amazon Relational Database Service (Amazon RDS) to manage their metadata information. Navigate to the side menu Virtual clusters , then select the HiveDemo cluster , You can see an entry for the SparkSQL test job.

Big Data 83

Big Data Data Processing Interactive Testing 83

bridgei2i

MARCH 3, 2021

In other words, we form the tech backbone of data and analytics platforms for our clients who are at different stages of their digital transformation journey. Now, I think it has forced a lot of enterprises to fasten their digital transformation journeys so that we’re better equipped to kind of respond.

Enterprise 98

Enterprise Digital Transformation Data-driven Interactive 98

DataKitchen

JUNE 24, 2021

We needed to get the data from a centralized place into their hands so that they could get in the game of digital transformation.”. “We had around 10,000 plus design engineers for our jet engine products. ” So I became focused on how to get data and analytic teams to be successful. Education is the Biggest Challenge.

ROI 211

ROI Metrics Measurement Cost-Benefit 211

IBM Big Data Hub

JULY 17, 2023

Watsonx.data is built on 3 core integrated components: multiple query engines, a catalog that keeps track of metadata, and storage and relational data sources which the query engines directly access. ” Raman Venkatraman, CEO of STL Digital Watsonx.data is truly open and interoperable. Later this year, it will leverage watsonx.ai

Machine Learning 64

Machine Learning Data Warehouse Modeling Cost-Benefit 64

AWS Big Data

MARCH 13, 2024

The Data Catalog provides metadata that allows analytics applications using Athena to find, read, and process the location data stored in Amazon S3. You can test this solution yourself using the AWS Samples GitHub repository. During his professional career, he has been extensively involved in complex digital transformation projects.

Analytics 97

Analytics IoT Metadata Internet of Things 97

Cloudera

AUGUST 30, 2018

You could think of it as an insight factory, your innovation environment, and the engine that powers your digital transformation. Multi-function analytics, enterprise-grade features, and environment-spanning capabilities are delivering on the promise of digital transformation for many of our customers today.

Enterprise 40

Enterprise Data-driven Digital Transformation Machine Learning 40

IBM Big Data Hub

FEBRUARY 14, 2024

Deliver new insights Expert systems can be trained on a corpus—metadata used to train a machine learning model—to emulate the human decision-making process and apply this expertise to solve complex problems. AIOps is one of the fastest ways to boost ROI from digital transformation investments.

Cost-Benefit 84

Cost-Benefit Insurance Unstructured Data Machine Learning 84

AWS Big Data

AUGUST 14, 2023

Service Validation and Testing X X. Key deliverables include a registry of demand against new or existing data products, including metadata on source systems, attributes, known use cases, proposed data product owners, and suggested organizational priority. Measurement and Reporting X X. Availability Management X X.

Management 81

Management Risk Measurement Optimization 81

Andrew White

JANUARY 11, 2021

Storytelling is a nice one to use early on to test the approach. We cannot of course forget metadata management tools, of which there are many different. Look at this note from 2019 where we tried to call out the constituent parts: How to Make Data and Analytics Central to Your Digital Transformation Initiative.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52