AWS Big Data

AUGUST 7, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. You pay only the associated Forecast costs. View Amazon Forecast pricing for details.

Forecasting 86

Forecasting Data Warehouse Machine Learning Modeling 86

CIO Business Intelligence

NOVEMBER 4, 2022

When Bob McCowan was promoted to CIO at Regeneron Pharmaceuticals in 2018, he had previously run the data center infrastructure for the $81.5 billion company’s scientific, commercial, and manufacturing businesses since joining the company in 2014. It is all about the data. At the data warehouse level, scientists use Redshift.

Data Lake 115

Data Lake IT Experimentation Data-driven 115

Sisense

FEBRUARY 24, 2021

To help provide guidance for what role a chief data officer should play at a particular organization, Yang Lee and a research team introduced their cubic framework for the chief data officer in their seminal 2014 paper for MIS Quarterly Executive. Choosing a flexible solution for data experts and business users alike.

Data Warehouse 69

Data Warehouse Big Data Metrics Visualization 69

BizAcuity

MAY 10, 2022

Amazon strategically went with the pricing model of ‘on-demand’, allowing developers to pay only as-per their computational needs. 2012: Amazon Redshift, the first of its kind cloud-based data warehouse service comes into existence. Fact: IBM built the world’s first data warehouse in the 1980’s.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

Insight

APRIL 8, 2020

With a properly designed interview process, teams can effectively and efficiently assess whether an applicant has the right set of data engineering skills without having to physically be in the same room. In some cases, they work to deploy data science models into production with an eye towards optimization, scalability and maintainability.

Cost-Benefit 96

Cost-Benefit Software Data Warehouse Optimization 96

Ms SQL Girl

FEBRUARY 3, 2015

Acquiring and Preparing Data for Power View and Excel. Data Modelling Patterns 101 using Power Pivot. Tips and Tricks on Charts and Data Models. Her recent projects include delivering a SQL Server 2012 Data Warehouse and BI solutions for a number of high profile clients in the US and Australia.

Dashboards 40

Dashboards KPI Interactive Publishing 40

Ms SQL Girl

FEBRUARY 3, 2015

Acquiring and Preparing Data for Power View and Excel. Data Modelling Patterns 101 using Power Pivot. Tips and Tricks on Charts and Data Models. Her recent projects include delivering a SQL Server 2012 Data Warehouse and BI solutions for a number of high profile clients in the US and Australia.

Dashboards 40

Dashboards KPI Interactive Publishing 40