CIO Business Intelligence

JUNE 23, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 84

IT Data Architecture Unstructured Data Big Data 84

Ontotext

JANUARY 10, 2024

Limiting growth by (data integration) complexity Most operational IT systems in an enterprise have been developed to serve a single business function and they use the simplest possible model for this. In order to integrate structured data, enterprises need to implement the data fabric pattern.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

Alation

APRIL 6, 2023

Data governance is traditionally applied to structured data assets that are most often found in databases and information systems. This blog focuses on governing spreadsheets that contain data, information, and metadata, and must themselves be governed. Data catalogs and spreadsheets are related in many ways.

Data Governance 52

Data Governance Metadata Cost-Benefit Structured Data 52

AWS Big Data

OCTOBER 2, 2023

JSON data in Amazon Redshift Amazon Redshift enables storage, processing, and analytics on JSON data through the SUPER data type, PartiQL language, materialized views, and data lake queries. The function JSON_PARSE allows you to extract the binary data in the stream and convert it into the SUPER data type.

Cost-Benefit 82

Cost-Benefit Metadata Structured Data Management 82

FineReport

FEBRUARY 5, 2020

Metadata management. Users can centrally manage metadata, including searching, extracting, processing, storing, sharing metadata, and publishing metadata externally. The metadata here is focused on the dimensions, indicators, hierarchies, measures and other data required for business analysis.

Metadata 98

Metadata Dashboards Informatics Visualization 98

AWS Big Data

AUGUST 16, 2023

Change Data Capture (CDC) in the context of a data lake refers to the process of capturing and propagating changes made to source data. Source systems often lack the capability to publish data that is modified or changed. We fetch the metadata of the users_xxxxxx table from Athena.

Data Lake 68

Data Lake Metadata Testing Snapshot 68

Ontotext

JULY 29, 2021

The second one is the Linked Open Data (LOD): a cloud of interlinked structured datasets published without centralized control across thousands of servers. There are more than 80 million pages with semantic, machine interpretable metadata , according to the Schema.org standard. Take this restaurant, for example.

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

IBM Big Data Hub

JANUARY 18, 2023

In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity. It required a different data platform solution. Hence, Data Lake emerged, which handles unstructured and structured data with huge volume. Data discoverability. Data mesh: A mostly new culture.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

Ontotext

NOVEMBER 12, 2020

It is coming ever closer to the exciting molecular model Nicholas Negroponte, a pioneer in the field of computer-aided design and co-founder of the MIT Media Lab, envisioned in the early 1980s: The structure of text should be imagined like a complex molecular model. Ideas can be opened and analyzed at multiple levels of detail.

Analytics 59

Analytics Publishing Metadata Structured Data 59

Ontotext

MAY 5, 2023

Here, the ability of knowledge graphs to integrate diverse data from multiple sources is of high relevance. As you can see from the slide below, knowledge graphs can provide a single access point for various types of data such as structured data, knowledge organization systems, transactional data and signals from unstructured content.

Data Collection 64

Data Collection Risk Data-driven Interactive 64

CIO Business Intelligence

JUNE 14, 2023

Additionally, it is vital to be able to execute computing operations on the 1000+ PB within a multi-parallel processing distributed system, considering that the data remains dynamic, constantly undergoing updates, deletions, movements, and growth. Consider data types.

Unstructured Data 64

Unstructured Data IT Manufacturing Visualization 64

Ontotext

MARCH 22, 2024

Professionals working on disinformation detection in domains such as Media and Publishing , social studies, and civil security have to sift through large quantities of online content in order to identify mentions of events of interest and extract the key information about them.

Modeling 59

Modeling Metadata Structured Data Risk 59

Cloudera

OCTOBER 7, 2021

Those decentralization efforts appeared under different monikers through time, e.g., data marts versus data warehousing implementations (a popular architectural debate in the era of structured data) then enterprise-wide data lakes versus smaller, typically BU-Specific, “data ponds”.

Metadata 121

Metadata Cost-Benefit Enterprise Interactive 121

erwin

AUGUST 31, 2023

Let’s explore the continued relevance of data modeling and its journey through history, challenges faced, adaptations made, and its pivotal role in the new age of data platforms, AI, and democratized data access. Embracing the future In the dynamic world of data, data modeling remains an indispensable tool.

Data-driven 98

Data-driven Modeling Enterprise Structured Data 98