DataKitchen

OCTOBER 11, 2021

First, you must understand the existing challenges of the data team, including the data architecture and end-to-end toolchain. Priya has more than 10 years of experience in IT, Data Warehousing, Reporting, Business Intelligence, Data Mining and Engineering, and DataOps.

Testing 152

Testing Metadata Dashboards Statistics 152

CIO Business Intelligence

MARCH 24, 2023

A framework for managing data 10 master data management certifications that will pay off Big Data, Data and Information Security, Data Integration, Data Management, Data Mining, Data Science, IT Governance, IT Governance Frameworks, Master Data Management

Data Governance 142

Data Governance Management Metadata Data Quality 142

Ontotext

APRIL 15, 2020

Ontotext’s knowledge graph technology is at the core of Cochrane’s data architecture developed by our partners from Data Language. GraphDB is also used by some of the participants in the COVID-19 Open Research Dataset Challenge (CORD-19) organized by Kaggle, the largest online community of data science and machine learning.

Publishing 105

Publishing Metadata Data mining Data Architecture 105

Peter James Thomas

AUGUST 18, 2018

Even back then, these were used for activities such as Analytics , Dashboards , Statistical Modelling , Data Mining and Advanced Visualisation. Of course some architectures featured both paradigms as well.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

IBM Big Data Hub

SEPTEMBER 19, 2023

The data science lifecycle Data science is iterative, meaning data scientists form hypotheses and experiment to see if a desired outcome can be achieved using available data.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

Jedox

OCTOBER 22, 2020

In addition to using data to inform your future decisions, you can also use current data to make immediate decisions. Some of the technologies that make modern data analytics so much more powerful than they used t be include data management, data mining, predictive analytics, machine learning and artificial intelligence.

Data Analytics 69

Data Analytics Analytics Unstructured Data Data mining 69

Ms SQL Girl

JUNE 10, 2015

Chapter 2 Designing an Eff ective Business Intelligence Architecture. Chapter 3 Selecting the Data Architecture that Fits Your Organization. Chapter 4 Searching and Combining Data with Power Query. Chapter 6 Discovering and Analyzing Data with Power Pivot. Chapter 9 Discovering Knowledge with Data Mining.

Data mining 40

Data mining Business Intelligence Visualization Operational Reporting 40

Ms SQL Girl

JUNE 10, 2015

Chapter 2 Designing an Eff ective Business Intelligence Architecture. Chapter 3 Selecting the Data Architecture that Fits Your Organization. Chapter 4 Searching and Combining Data with Power Query. Chapter 6 Discovering and Analyzing Data with Power Pivot. Chapter 9 Discovering Knowledge with Data Mining.

Data mining 40

Data mining Business Intelligence Visualization Operational Reporting 40

AWS Big Data

AUGUST 1, 2024

Success criteria alignment by all stakeholders (producers, consumers, operators, auditors) is key for successful transition to a new Amazon Redshift modern data architecture. The success criteria are the key performance indicators (KPIs) for each component of the data workflow. This exercise is mostly undertaken by QA teams.

Data Warehouse 107

Data Warehouse KPI Optimization Cost-Benefit 107

Octopai

APRIL 19, 2021

Her Twitter page is filled with interesting articles, webinars, reports, and current news surrounding data management. She tweets and retweets about topics such as data governance, data strategy, and data architecture. TDWI – David Loshin. Dataconomy.

Metadata 59

Metadata Management Business Intelligence Data Governance 59

CIO Business Intelligence

JULY 22, 2024

But with analytics and AI becoming table-stakes to staying competitive in the modern business world, the Michigan-based company struggled to leverage its data. “We Dow Chemical Company is one of the largest chemical producers in the world, with a presence in roughly 160 countries and more than 37,000 employees worldwide.

Data Governance 119

Data Governance Unstructured Data Technology Manufacturing 119

FineReport

MARCH 31, 2024

Acting as a comprehensive solution, the best BI tools collect and analyze company data to generate easily interpretable graphs, reports, and charts , leveraging advanced data mining, analytics, and visualization techniques. Key Features: Integrated data architecture simplifies data preparation and analysis processes.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

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.” Data Environment First off, the solutions you consider should be compatible with your current data architecture. Standalone is a thing of the past.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52