Blog

May 16, 2022

The Critical Role of Metadata Services in Data Management

As the variety of data being used to make data-derived decisions expands, the scope and requirements for metadata services also expands.

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March 18, 2022

Building Meaningful Dashboards for Your Data Pipelines

Here are a few tips for making your dashboard a go-to resource for your organization’s decision makers.

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January 5, 2022

Letter From the CEO: Announcing New Promethium Free Edition

Data engineers and data analysts can use Promethium for free to build, test, publish and run datasets for analytics faster than ever before!

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December 7, 2021

The Top Rated Python Data Engineering Books On Amazon

The three highest rated books on Amazon that feature Python for Data Engineering. The books appear on Amazon's Data Modeling & Design list.

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November 18, 2021

Can Cross-Silo Data Analytics For Healthcare Be On-Demand And Compliant?

Healthcare needs fast, effective on-demand analytics to optimize care and create new offerings while staying compliant. How is it possible?

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November 12, 2021

What is a Data Mesh and How Will It Benefit My Organization?

The Data Mesh concept is hyped as a counterpoint to the traditional large, centralized data platforms of the past few decades.

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November 3, 2021

What is a federated query and how to do it

A federated query is joining data from two or more disparate data sources. Example, joining data from Salesforce with data from an Oracle.

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October 18, 2021

IDC Includes Promethium in IDC Innovators: Business Intelligence and Decisioning Software Solutions

Find our why IDC has named Promethium an IDC Innovator for Business Intelligence and Decisioning Software Solutions.

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October 1, 2021

Data Fabric Data Pipelines For Faster Analysis

What makes Data Fabric data pipelines so special is that they don't rely on persisting data first.

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August 13, 2021

What is Data Fabric?

The Data Fabric concept pushes beyond traditional thinking and is a big idea for changing the way data is made accessible.

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July 23, 2021

What is ETL (Extract, Transform, Load)? And What Are the Considerations?

Extract, transform, load (ETL) describes the process of copying data from a single or multiple repositories into a new centralized system.

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June 18, 2021

Augmented Analytics – What Is It?

Augmented analytics involves using machine learning and natural language processing (NLP) to assist with data prep, analysis and reporting.

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