FineReport

MAY 6, 2020

Framework Big Data Processing: Hadoop, storm, spark. Data Warehous: SSIS, SSAS. Skill Data Mining: Matlab, R, Python. Seperti yang Anda ketahui, statistik adalah dasar analisis data. Statistik juga adalah sebuah skill utama seorang data analyst. Anda perlu memahami prinsip dibalik data.

Data mining 98

Data mining Data Warehouse Machine Learning Big Data 98

CIO Business Intelligence

OCTOBER 13, 2023

A framework for managing data The top 8 data engineer and data architect certifications Essential skills and traits of elite data scientists Developing data science skills in-house: Real-world lessons The age of the citizen data scientist has arrived Data Management, Data Mining, Master Data Management

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

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

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 Data Architecture 105

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

CIO Business Intelligence

SEPTEMBER 18, 2023

Network planners, for example, work across many legacy systems with data elements that are complex and varied and with systems ranging from engineering, inventory, provisioning, and activating network functions, Verizon representatives explain.

Data mining 111

Data mining Testing Metadata Enterprise 111

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

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

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

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 75

Cost-Benefit Metadata Optimization Management 75

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 Data Warehouse 52

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

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