Rocket-Powered Data Science

MARCH 20, 2023

Data collections are the ones and zeroes that encode the actionable insights (patterns, trends, relationships) that we seek to extract from our data through machine learning and data science. Live online presentations, demos, and customer testimonials were complemented with new content posted at sap.com/datasphere.

Data Warehouse 325

Data Warehouse Metadata Digital Transformation Unstructured Data 325

Alation

OCTOBER 26, 2021

They need trusted data to drive reliable reporting, decision-making, and risk reduction. A Strong Data Culture Supports Strategic Decision Making. Our successful customers invest in and infuse data and analytics throughout the enterprise. After all, finance is one of the greatest consumers of data within a business.

Finance 52

Finance Data Transformation Enterprise Metrics 52

erwin

APRIL 29, 2020

These tools range from enterprise service bus (ESB) products, data integration tools; extract, transform and load (ETL) tools, procedural code, application program interfaces (API)s, file transfer protocol (FTP) processes, and even business intelligence (BI) reports that further aggregate and transform data.

Metadata 111

Metadata Key Performance Indicator Data Governance Data Quality 111

Jet Global

FEBRUARY 23, 2024

This field guide to data mapping will explore how data mapping connects volumes of data for enhanced decision-making. Why Data Mapping is Important Data mapping is a critical element of any data management initiative, such as data integration, data migration, data transformation, data warehousing, or automation.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

erwin

SEPTEMBER 17, 2020

According to erwin’s “2020 State of Data Governance and Automation” report , close to 70 percent of data professional respondents say they spend an average of 10 or more hours per week on data-related activities, and most of that time is spent searching for and preparing data.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

AWS Big Data

NOVEMBER 29, 2023

dbt is an open source, SQL-first templating engine that allows you to write repeatable and extensible data transforms in Python and SQL. dbt is predominantly used by data warehouses (such as Amazon Redshift ) customers who are looking to keep their data transform logic separate from storage and engine.

Data Lake 103

Data Lake Management Metrics Data Warehouse 103

Ontotext

NOVEMBER 18, 2021

They’ve read some of the many available resources on the topic and seen Ontotext’s excellent product demos. OntoRefine is a data transformation tool that lets you unite plenty of data formats and get them into your triplestore. One of the core upsides of storing your data in that format is inference.

Visualization 98

Visualization Reporting Metadata Enterprise 98