Sisense

JULY 6, 2020

First off, this involves defining workflows for every business process within the enterprise: the what, how, why, who, when, and where aspects of data. These regulations, ultimately, ensure key business values: data consistency, quality, and trustworthiness. And the result is, nobody does.”.

Enterprise 98

Enterprise Management Data Architecture Data-driven 98

AWS Big Data

JUNE 12, 2024

One Data Platform The ODP architecture is based on the AWS Well Architected Framework Analytics Lens and follows the pattern of having raw, standardized, conformed, and enriched layers as described in Modern data architecture.

Data Architecture 106

Data Architecture Cost-Benefit Data-driven Experimentation 106

Cloudera

OCTOBER 11, 2022

I recommend you read the entire piece, but to me the key takeaway – AI at scale isn’t magic, it’s data – is reminiscent of the 1992 presidential election, when political consultant James Carville succinctly summarized the key to winning – “it’s the economy”. Because with AI at scale – “it’s the data.”.

Data Science 94

Data Science Snapshot Data Warehouse Metadata 94

Ontotext

DECEMBER 1, 2023

Atanas Kiryakov presenting at KGF 2023 about Where Shall and Enterprise Start their Knowledge Graph Journey Only data integration through semantic metadata can drive business efficiency as “it’s the glue that turns knowledge graphs into hubs of metadata and content”.

Metadata 78

Metadata Sales Machine Learning Consulting 78

AWS Big Data

JULY 16, 2024

Priority 2 logs, such as operating system security logs, firewall, identity provider (IdP), email metadata, and AWS CloudTrail , are ingested into Amazon OpenSearch Service to enable the following capabilities. She currently serves as the Global Head of Cyber Data Management at Zurich Group.

Insurance 123

Insurance Management Cost-Benefit Optimization 123

AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale.

Data Lake 125

Data Lake Metadata Statistics Optimization 125

AWS Big Data

SEPTEMBER 13, 2023

The Analytics specialty practice of AWS Professional Services (AWS ProServe) helps customers across the globe with modern data architecture implementations on the AWS Cloud. The File Manager Lambda function consumes those messages, parses the metadata, and inserts the metadata to the DynamoDB table odpf_file_tracker.

Data Lake 103

Data Lake Data Processing Metadata Snapshot 103

AWS Big Data

DECEMBER 21, 2023

Overview of solution As a data-driven company, smava relies on the AWS Cloud to power their analytics use cases. smava ingests data from various external and internal data sources into a landing stage on the data lake based on Amazon Simple Storage Service (Amazon S3).

Data Lake 103

Data Lake Data Warehouse Data-driven B2B 103

AWS Big Data

APRIL 26, 2023

Having an accurate and up-to-date inventory of all technical assets helps an organization ensure it can keep track of all its resources with metadata information such as their assigned oners, last updated date, used by whom, how frequently and more. This is a guest blog post co-written with Corey Johnson from Huron.

Metadata 52

Metadata Dashboards Visualization Consulting 52

AWS Big Data

FEBRUARY 7, 2024

Consult your IdP documentation. Download the IAM Identity Center SAML metadata file to use in a later step. Choose Import from XML file and import the IAM Identity Center SAML metadata file that you downloaded in an earlier step. He helps customers develop performant and reusable solutions to process data at scale.

Dashboards 95

Dashboards Data Processing Metadata Consulting 95

Alation

JANUARY 9, 2023

But data leaders must work quickly, and use the right tools, to understand, manage, and protect data while complying with related regulations and standards. The Australian Prudential Regulation Authority (APRA) released nonbinding standards covering data risk management. Download the complete white paper now.

Risk Management 52

Risk Management Risk Management Metadata 52

erwin

APRIL 16, 2024

The data mesh framework In the dynamic landscape of data management, the search for agility, scalability, and efficiency has led organizations to explore new, innovative approaches. One such innovation gaining traction is the data mesh framework. This empowers individual teams to own and manage their data.

Metadata 52

Metadata Data Quality Data Governance Modeling 52

AWS Big Data

MARCH 25, 2024

Streaming jobs constantly ingest new data to synchronize across systems and can perform enrichment, transformations, joins, and aggregations across windows of time more efficiently. Data streaming enables you to ingest data from a variety of databases across various systems.

Data Lake 104

Data Lake Unstructured Data Management Snapshot 104

Alation

APRIL 25, 2023

More specifically, it describes the process of creating, administering, and adapting a comprehensive plan for how an organization’s data will be managed. In this way, data governance has implications for a wide range of data management disciplines, including data architecture, quality, security, metadata, and more.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

AWS Big Data

APRIL 28, 2023

When building a scalable data architecture on AWS, giving autonomy and ownership to the data domains are crucial for the success of the platform. Solution overview In the first post of this series, we explained how Novo Nordisk and AWS Professional Services built a modern data architecture based on data mesh tenets.

Data Governance 72

Data Governance Management Data-driven Analytics 72

Alation

APRIL 25, 2023

More specifically, it describes the process of creating, administering, and adapting a comprehensive plan for how an organization’s data will be managed. In this way, data governance has implications for a wide range of data management disciplines, including data architecture, quality, security, metadata, and more.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

Andrew White

JANUARY 9, 2022

Most of D&A concerns and activities are done within EA in the Info/Data architecture domain/phases. Where these efforts break down is in the data that goes into the connection at one end and comes out the other. So, I hear you say, let’s share metadata and make the data self-describing.

Analytics 64

Analytics Measurement Data-driven Modeling 64

Jet Global

MAY 1, 2023

Services Technical and consulting services are employed to make sure that implementation and maintenance go smoothly. These include how-to guides, best practices, and in-person consultations. You can start small, and look for tools that conform to your architecture and your development process. The days of Big BI are over.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Ontotext

NOVEMBER 11, 2024

Knowledge graphs, while not as well-known as other data management offerings, are a proven dynamic and scalable solution for addressing enterprise data management requirements across several verticals. The RDF-star extension makes it easy to model provenance and other structured metadata.

Metadata 52

Metadata Knowledge Discovery Data Integration Management 52

BI-Survey

FEBRUARY 6, 2020

Although a common data model consisting of aligned structures and measures is needed for consistency and governance , it will not grant business departments the freedom required to efficiently analyze and interpret data. It is crucial to simplify data consumption and access for all users to support self-service requirements.

Reporting 59

Reporting Optimization Enterprise Data Quality 59