Найденные страницы с тегом edw всего 25

The Economics of Modernizing Your Enterprise Data Warehouse - Enterprise Strategy Group

The ongoing insight gained from enterprise data warehouse (EDW) solutions has justified the significant up-front capital investments and ongoing operational costs, but the rigidity of the traditional EDW is forcing organizations to reevaluate their approach to analytics and business intelligence.

Enterprise Data Warehouses ( EDW ): Definition and Guide

In this blog post, we have completely analyzed the importance, benefits, components, best practices, and future trends of enterprise data warehouses. EDWs are playing the role oxygen is playing for our lives.

Data storages — Posts about data storages / Habr

Data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis, and is considered a core component of business intelligence.[1] DWs are central repositories of integrated data from one or more disparate sources. They store current and historical data in one single place[2] that are used for creating analytical reports for workers throughout the enterprise.

Data storages — Posts about data storages / Habr

Data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis, and is considered a core component of business intelligence.[1] DWs are central repositories of integrated data from one or more disparate sources. They store current and historical data in one single place[2] that are used for creating analytical reports for workers throughout the enterprise.

Data storages — Posts about data storages / Habr

Data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis, and is considered a core component of business intelligence.[1] DWs are central repositories of integrated data from one or more disparate sources. They store current and historical data in one single place[2] that are used for creating analytical reports for workers throughout the enterprise.

Enterprise Data Warehouses ( EDW ): Definition and Guide

In this blog post, we have completely analyzed the importance, benefits, components, best practices, and future trends of enterprise data warehouses. EDWs are playing the role oxygen is playing for our lives.

How To Create Enterprise Data Warehouse Software - DataScienceCentral.com

Discover more about the EDW software basics like architecture, types, creation flow, etc.

Enterprise Data Warehouse: компоненты, основные концепции и типы архитектур EDW / Хабр

Ежедневно мы принимаем множество решений на основании предыдущего опыта. Наш мозг хранит триллионы бит данных о прошлых событиях и использует эти воспоминания каждый раз, когда мы сталкиваемся с...

Собеседование на позицию Data Engineer в Х5: чего ждать и как лучше подготовиться / Хабр

О направлении Data Engineering в X5 В X5 Group активно развивают цифровые продукты, построенные на основе  больших данных, использующие сложную аналитику и машинное обучение, такие как...

Beyond Datawarehouse - The Data Lake - DataScienceCentral.com

Over the last few years, organizations have made a strategic decision to turn big data into competitive advantage. Owing to rapid changes in the trends of BI and DW space, Big Data has been driving the organizations to explore the    implementation aspects on how to integrate big data into the existing EDW infrastructure. The process of… Read More »Beyond Datawarehouse – The Data Lake

The Forrester Wave : Enterprise Data Warehouse, Q4 2015 - insideBIGDATA

In the era of big data, enterprise data warehouse (EDW) technology continues to evolve as vendors focus on innovation and advanced features .

Enterprise Data Warehouse - insideBIGDATA

In the era of big data, enterprise data warehouse (EDW) technology continues to evolve as vendors focus on innovation and advanced features around in-memory

The Evolving Role of the Enterprise Data Warehouse in the Era of Big Data Analytics (Ralph Kimball) | TechRepublic

In this white paper, we describe the rapidly evolving landscape for designing an enterprise data warehouse (EDW) to support business analytics in the era

Outsourcing EDW Applications | TechRepublic

Im working on some research and was wondering if anyone can help me out. This company that I am researching for is looking for a variable staffing model

The Economic Advantages of Migrating Enterprise Data Warehouse Workloads to Google BigQuery. | TechRepublic

ESG created a three-year TCO model that compared the expected costs and benefits of upgrading an on-premises EDW solution from the leading vendor,

The Economic Advantages of Migrating Enterprise Data Warehouse Workloads to Google BigQuery | TechRepublic

ESG created a three-year TCO model that compared the expected costs and benefits of upgrading an on-premises EDW solution from the leading vendor,

The Economic Advantages of Google BigQuery versus Alternative Cloud-based EDW Solutions | TechRepublic

ESG compared Google BigQuery’s serverless Enterprise data warehouses (EDW) solution with some alternative EDW services offered by AWS, Microsoft, and

The Economic Advantages of Google BigQuery versus Alternative Cloud-based EDW Solutions. | TechRepublic

The on-premises enterprise data warehouse (EDW) has been the backbone of many top enterprises over the past few decades. Organisations that possess the

[Solved] removing everything after first 'backslash' in a string - Local Coder

I have a vector like below vec <- c('abc\edw\www', 'nmn\ggg', 'rer\qqq\fdf'......) I want to remove everything after as soon as first slash is encountered, like below newvec &l

edw/aleph 0.2.0-alpha3-new-SNAPSHOT on Clojars - Libraries.io

a framework for asynchronous communication - 0.2.0-alpha3-new-SNAPSHOT - a Clojure package on Clojars - Libraries.io

Актуальны ли еще хранилища данных? | ChannelForIT

Очевидно ответ нужно искать где-то посередине. EDW-хранилища, так же как и сопутствующие им пакетные ETL-процессы (extraction, transformation and loading — извлечение, преобразование и загрузка), могут функционировать в связке с технологией Hadoop в рамках единой стратегии, предлагающей наглядный план действий для создания аналитических (в т. ч. бизнес-аналитических) систем.

Data storages – Posts about data storages / Habr

Data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis, and is considered a core component of business intelligence.[1] DWs are central repositories of integrated data from one or more disparate sources. They store current and historical data in one single place[2] that are used for creating analytical reports for workers throughout the enterprise.

Impact анализ на примере инфраструктуры корпоративного хранилища данных / Блог компании Tinkoff.ru / Хабр

В этой статье я хочу рассказать, как можно решать задачу impact анализа или анализа влияния в сложной, многоуровневой инфраструктуре корпоративного хранилища данных на примере нашего DWH в Тинькофф...

Как было устроено хранилище DWH в TELE2 / Хабр

Здравствуйте, дорогие друзья. Сегодня хочу поделиться историей из жизни, как было устроено хранилище DWH в Tele2 до внедрения КХД (EDW). Поступил я в ИТ подразделение Tele2 в 2012 в отдел по...