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. Steps for developing an effective data strategy include: 1.

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Data Quality Data Architecture Strategy Data Lake 52

AWS Big Data

MARCH 7, 2023

This post also discusses the art of the possible with newer innovations in AWS services around streaming, machine learning (ML), data sharing, and serverless capabilities. A data hub contains data at multiple levels of granularity and is often not integrated. Let’s look at the components of the architecture in more detail.

Analytics 71

Analytics Data Warehouse Data Lake Metadata 71

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. When data is stored in a modern, accessible repository, organizations gain newfound capabilities.

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Unstructured Data Data Lake Metadata Business Objectives 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.

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Metadata Dashboards Business Intelligence Management 52