AWS Big Data

MARCH 25, 2024

Foundation models (FMs) are large machine learning (ML) models trained on a broad spectrum of unlabeled and generalized datasets. They can perform a wide range of different tasks, such as natural language processing, classifying images, forecasting trends, analyzing sentiment, and answering questions.

Data Lake 86

Data Lake Unstructured Data Management Modeling 86

IBM Big Data Hub

DECEMBER 7, 2023

Initially, they were designed for handling large volumes of multidimensional data, enabling businesses to perform complex analytical tasks, such as drill-down , roll-up and slice-and-dice. Early OLAP systems were separate, specialized databases with unique data storage structures and query languages.

OLAP 63

OLAP Slice and Dice Cost-Benefit Data Warehouse 63

Smart Data Collective

OCTOBER 17, 2022

This proliferation of data and the methods we use to safeguard it is accompanied by market changes — economic, technical, and alterations in customer behavior and marketing strategies , to mention a few. zettabytes of data in 2020, a tenfold increase from 6.5 All of that data puts a load on even the most powerful equipment.

Big Data 106

Big Data Data-driven Recreation/Entertainment Data Governance 106

Andrew White

JANUARY 11, 2021

Where does the Data Architect role fits in the Operational Model ? Assuming a data architect helps model and guide and assist D&A then they play a key role. This would be part of a Data Literacy program. Decision modeling (one of my favorites). Link Data to Business Outcomes. Fusion teams.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MARCH 24, 2024

They can easily share financial data and reports, discuss tax implications of financial decisions, and ensure alignment on tax planning strategies. EPM tools often include scenario analysis capabilities that allow finance teams to model different financial scenarios. Forecasting and Planning. Scenario Analysis.

Finance 52

Finance Reporting Forecasting Dashboards 52

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

APRIL 8, 2024

Furthermore, basing your budgets and forecasts on inaccurate or incongruent data from silos can have a detrimental impact on decision-making. The finance team’s true value lies in providing strategic insights and analysis, not in data manipulation. These inconsistencies also cause problems with disclosure management.

Reporting 52

Reporting Management Finance Forecasting 52