IBM Big Data Hub

JANUARY 5, 2023

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases. Outlining business objectives you want your data to help you accomplish.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

AWS Big Data

JUNE 13, 2023

Amazon QuickSight is a scalable, serverless, embeddable, machine learning (ML) powered business intelligence (BI) service built for the cloud that supports identity federation in both Standard and Enterprise editions. Download the SAML metadata file. In the navigation pane under Clients , import the SAML metadata file.

Metadata 52

Metadata Dashboards Business Intelligence Management 52

CIO Business Intelligence

DECEMBER 4, 2023

A modern ILM approach helps CIOs and their teams align processes to business objectives and regulatory requirements. Beyond “records,” organizations can digitally capture anything and apply metadata for context and searchability. Here is a high-level overview of the ILM steps and structure. Iron Mountain Capture/Enrich.

Unstructured Data 52

Unstructured Data Data Lake Metadata Business Objectives 52

AWS Big Data

MARCH 7, 2023

Sources Data can be loaded from multiple sources, such as systems of record, data generated from applications, operational data stores, enterprise-wide reference data and metadata, data from vendors and partners, machine-generated data, social sources, and web sources. Let’s look at the components of the architecture in more detail.

Analytics 69

Analytics Data Warehouse Data Lake Metadata 69

Paul Blogs on BI

SEPTEMBER 8, 2022

Every table has its own folder in PBI and they are just organized in alphabetical order making it impossible to build understandable models to report writers as the number of tables and objects increases. In a BusinessObjects universe there is just metadata. BusinessObjects is designed to work at the database level using native SQL.

Metadata 52

Metadata Reporting Modeling Business Objectives 52

Rita Sallam

JULY 22, 2016

Like when Oracle acquired Hyperion in March of 2007, which set of a series of acquisitions –SAP of Business Objects October, 2007 and then IBM of Cognos in November, 2007. decline in traditional BI ( See: Market Share Analysis: Business Intelligence and Analytics Software, 2015 ).

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

erwin

MAY 27, 2020

Data modeling supports collaboration among business stakeholders – with different job roles and skills – to coordinate with business objectives. Data resides everywhere in a business , on-premise and in private or public clouds. Provide metadata and schema visualization regardless of where data is stored.

Modeling 98

Modeling Metadata Data Governance Visualization 98