Remove Business Analytics Remove Data Warehouse Remove Optimization Remove Publishing
article thumbnail

Data Science, Past & Future

Domino Data Lab

The data governance, however, is still pretty much over on the data warehouse. Toward the end of the 2000s is when you first started getting teams and industry, as Josh Willis was showing really brilliantly last night, you first started getting some teams identified as “data science” teams.

article thumbnail

Topics to watch at the Strata Data Conference in New York 2019

O'Reilly on Data

Our call for speakers for Strata NY 2019 solicited contributions on the themes of data science and ML; data engineering and architecture; streaming and the Internet of Things (IoT); business analytics and data visualization; and automation, security, and data privacy. 719, trailing "data warehouse."

IoT 20
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

How to Build Success Through Strategic ESPP Design

Jet Global

Optimizing yours requires navigating a labyrinth of choices with far-reaching consequences for both your employees and your bottom line. A good equity management tool, like Certent Equity Management from insightsoftware, can help you create an optimized ESPP with confidence and efficiency.

article thumbnail

Jet Reports 23.3: Faster Than Ever

Jet Global

The latest Jet updates include a combination of techniques such as optimizing the query engine, reducing the number of database calls, caching data locally, and parallelizing the processing of multiple reports. These methods not only improve the performance of Jet Reports, but also reduce the load on your data sources and network.

article thumbnail

What is a Data Pipeline?

Jet Global

The key components of a data pipeline are typically: Data Sources : The origin of the data, such as a relational database , data warehouse, data lake , file, API, or other data store. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

article thumbnail

What is The Difference Between BI and Analytics?

Jet Global

BI and analytics are both umbrella terms referring to a type of data insight software. Many providers use them interchangeably, but some use them in conjunction, claiming to offer both business intelligence and business analytics. This of course makes us wonder: what’s the difference? per quarter.

article thumbnail

Quickly Clean Your SAP Supply Chain Data of Pollution

Jet Global

It then creates insights into what is happening at an operational level right now and in the foreseeable future by enriching the data with pre-built supply chain and finance calculations, on a transaction level (execution status, order bottlenecks) and in the form of operational KPIs (delivery reliability, stock level).