Paul Turley

JULY 3, 2020

For several years, Visual Studio has been my go-to tool for designing semantic data models used for Business Intelligent reporting. Back in 2005, I used the Business Intelligence Development Studio (BIDS) Visual Studio add-in for SSIS, SSRS and SSAS projects to develop BI solutions with multidimensional cubes.

Visualization 143

Visualization Business Intelligence Modeling Reporting 143

Cloudera

AUGUST 8, 2022

With Iceberg in CDP, you can benefit from the following key features: CDE and CDW support Apache Iceberg: Run queries in CDE and CDW following Spark ETL and Impala business intelligence patterns, respectively. Exploratory data science and visualization: Access Iceberg tables through auto-discovered CDW connection in CML projects.

Snapshot 94

Snapshot Data Warehouse Machine Learning Cost-Benefit 94

CIO Business Intelligence

APRIL 7, 2023

The city of Sacramento has been dedicated to clean technology and energy since 2005, is one of the top 10 cities adopting smart grid technology, and now holds around 25% of the Region’s Clean Energy Technology establishments. The average tech salary in Miami is $104,542 per year — a 10.6% increase from 2021, according to Dice. Raleigh, N.C.

IT 134

IT Digital Transformation Testing Marketing 134

AWS Big Data

OCTOBER 11, 2023

Datasets used for generating insights are curated using materialized views inside the database and published for business intelligence (BI) reporting. The near-real-time insights can then be visualized as a performance dashboard using OpenSearch Dashboards. Now you can create visualizations in OpenSearch Dashboards.

Management 101

Management Metadata Analytics Dashboards 101

BizAcuity

MAY 10, 2022

2005: Microsoft passes internal memo to find solutions that could let users access their services through the internet. Microsoft also releases Power BI, a data visualization and business intelligence tool. Amazon launches AWS (but no cloud solutions yet). They were not successful until around 5 years later.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

Domino Data Lab

JULY 22, 2019

He also really informed a lot of the early thinking about data visualization. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. Along with your database servers, you had, data warehousing and business intelligence. Then things changed.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109