CIO Business Intelligence

OCTOBER 26, 2023

To earn your CBIP certification, you’ll need two or more years of full-time experience in CIS, data modeling, data planning, data definitions, metadata systems development, enterprise resource planning, systems analysis, application development, and programming or IT management.

Business Intelligence 126

Business Intelligence Data-driven Statistics Data Warehouse 126

TDAN

NOVEMBER 17, 2020

There is a great deal of talk in our industry about the importance of having common, standard data semantics and language and the value this brings. However, I think one of the greatest obstacles in achieving this is what I call data ‘mine’ing. I am not talking about ‘data mining’ meaning, “the process of collecting, […].

Data mining 82

Data mining Metadata Data Governance Business Intelligence 82

Ontotext

APRIL 15, 2020

In his blog post “ How knowledge graph technology is helping Cochrane respond to COVID-19 ” Paul Wilton presents in great detail the data modelling principle and the software architecture behind the register. Here, GraphDB is used for storing the ontology models, the vocabulary, the content metadata and the graphs from the PICO ontology.

Publishing 105

Publishing Metadata Data mining Technology 105

Peter James Thomas

AUGUST 18, 2018

From 2000 to 2015, I had some success [5] with designing and implementing Data Warehouse architectures much like the following: As a lot of my work then was in Insurance or related fields, the Analytical Repositories tended to be Actuarial Databases and / or Exposure Management Databases, developed in collaboration with such teams.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

Rita Sallam

JULY 22, 2016

By contrast, traditional BI platforms are designed to support modular development of IT-produced analytic content, specialized tools and skills, and significant upfront data modeling, coupled with a predefined metadata layer, is required to access their analytic capabilities.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

CIO Business Intelligence

JANUARY 15, 2024

Her team spent about a year trying to understand the information landscape, the data, and the metadata schemas. Cleared for launch Bugbee is no stranger to data management and data stewardship. She cut her teeth in the field working to improve metadata quality in Data.gov and on President Obama’s Climate Data Initiative.

Informatics 123

Informatics Metadata Data mining Digital Transformation 123

Ontotext

MAY 22, 2023

Doug Kimball : Using our knowledge graph, you can develop more complex analytics, such as data mining, Natural Language Processing (NLP) and Machine Learning (ML). With traditional data management systems, that can be difficult or in some cases can lead to more work than results.

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

Smart Data Collective

SEPTEMBER 26, 2021

Data is processed to generate information, which can be later used for creating better business strategies and increasing the company’s competitive edge. It’s a good idea to record metadata. Standardizing metadata helps ensure that information assets continue to meet the desired needs for the long term.

Metadata 98

Metadata Visualization Unstructured Data Data mining 98

DataKitchen

OCTOBER 11, 2021

Monitoring Job Metadata. Monitoring and tracking is an essential feature that many data teams are looking to add to their pipelines. Figure 7 shows how the DataKitchen DataOps Platform helps to keep track of all the instances of a job being submitted and its metadata.

Testing 157

Testing Metadata Dashboards Statistics 157

IBM Big Data Hub

MARCH 14, 2024

This involves unifying and sharing a single copy of data and metadata across IBM® watsonx.data ™, IBM® Db2 ®, IBM® Db2® Warehouse and IBM® Netezza ®, using native integrations and supporting open formats, all without the need for migration or recataloging.

Cost-Benefit 81

Cost-Benefit Metadata Optimization Management 81

datapine

MAY 29, 2019

While BI outputs information through data visualization, online dashboards , and reporting, data warehouse outlines data in dimension and fact tables for upstream applications (or BI tools). The output difference is closely interlaced with the people that can work with either BI or data warehouse.

Business Intelligence 196

Business Intelligence Data Warehouse Dashboards Visualization 196

AWS Big Data

FEBRUARY 22, 2023

An AWS Glue ETL job, using the Apache Hudi connector, updates the S3 data lake hourly with incremental data. The AWS Glue job can transform the raw data in Amazon S3 to Parquet format, which is optimized for analytic queries. Data had to be manually processed by data analysts, and data mining took a long time.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

Alation

AUGUST 26, 2021

What Is Data Intelligence? Data intelligence is a system to deliver trustworthy, reliable data. It includes intelligence about data, or metadata. IDC coined the term, stating, “data intelligence helps organizations answer six fundamental questions about data.” Yet finding data is just the beginning.

Metadata 64

Metadata Data Governance Dashboards Software 64

Jet Global

MAY 1, 2023

Users Want to Help Themselves Data mining is no longer confined to the research department. Today, every professional has the power to be a “data expert.” Metadata Self-service analysis is made easy with user-friendly naming conventions for tables and columns. Standalone is a thing of the past. addresses).

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52