CIO Business Intelligence

OCTOBER 13, 2023

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

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Data Architecture Data Warehouse Statistics Visualization 131

CIO Business Intelligence

AUGUST 9, 2022

These generalists are often responsible for every step of the data process, from managing data to analyzing it. Dataquest says this is a good role for anyone looking to transition from data science to data engineering, as smaller businesses often don’t need to engineer for scale. Data engineer vs. data architect.

Analytics 130

Analytics Data Science Statistics Unstructured Data 130

Analytics Vidhya

AUGUST 17, 2021

ArticleVideo Book This article publicize as a part of the Data Science Blogathon Introduction Most of you guys might be familiar with the word Web. The post Beginner’s Web Scraping Project: Web Scraping Subreddit (Step-by-Step) appeared first on Analytics Vidhya.

Data Science 331

Data Science Analytics Data mining Unstructured Data 331

CIO Business Intelligence

NOVEMBER 28, 2023

With organizations seeking to become more data-driven with business decisions, IT leaders must devise data strategies gear toward creating value from data no matter where — or in what form — it resides. Unstructured data resources can be extremely valuable for gaining business insights and solving problems.

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Unstructured Data Data-driven Visualization Data Quality 128

Analytics Vidhya

MAY 4, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Before going ahead, lets we take a brief discussion on. The post Scrap Images From E-Commerce Website Using AutoScraper appeared first on Analytics Vidhya.

Data Science 166

Data Science Publishing Analytics Data mining 166

IBM Big Data Hub

AUGUST 28, 2023

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. What is text mining? Text analysis takes it a step farther by focusing on pattern identification across large datasets, producing more quantitative results.

Data mining 57

Data mining Machine Learning Deep Learning Marketing 57

Rita Sallam

JULY 22, 2016

Q2: Would you consider Sisense better than others in handling big and unstructured data? Not sure about that, but Sisense is well suited for easily harmonizing, combining and modeling many different, complex and large data sets for fast interactive analysis. Research VP, Business Analytics and Data Science.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

Grooper

AUGUST 19, 2019

Applied analytics Business analytics Machine learning and data science. Think of applied analytics as specific use cases for your industry that identify the exact insights and data that would create the best outcomes in specific business processes. Master data management. Data governance. Data pipelines.

Analytics 54

Analytics Machine Learning Data-driven Data Science 54