Remove 2000 Remove Data Quality Remove Forecasting
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Ontotext’s Perspective on an Energy Knowledge Graph

Ontotext

In compliance with the EU market transparency regulation (( Regulation EU No 5 43/2013 of 14 June 2013 on submission and publication of data in electricity markets ), ENTSO-E is doing a great job of collecting electricity market data (generation, transmission, consumption, balancing, congestion, outages, etc.) c and 14.2.c.

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10 Best Big Data Analytics Tools You Need To Know in 2023

FineReport

Predictive Analytics assesses the probability of a specific occurrence in the future, such as early warning systems, fraud detection, preventative maintenance applications, and forecasting. Unlike traditional databases, processing large data volumes can be quite challenging. How to Choose the Right Big Data Analytics Tools?

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The Importance of Data Quality in Financial Reporting

Jet Global

Data quality has always been at the heart of financial reporting , but with rampant growth in data volumes, more complex reporting requirements and increasingly diverse data sources, there is a palpable sense that some data, may be eluding everyday data governance and control. Data Quality Audit.

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Enhance Trino Performance With Simba’s Powerful Connectivity

Jet Global

Preventing Data Swamps: Best Practices for Clean Data Preventing data swamps is crucial to preserving the value and usability of data lakes, as unmanaged data can quickly become chaotic and undermine decision-making.

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How to Bridge the Skills Gap With Automation for JD Edwards

Jet Global

Finance decision makers should seize every opportunity to automate processes when possible, freeing up resources for deeper analysis and strategic planning and forecasting.

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What is a Data Pipeline?

Jet Global

ETL pipelines are commonly used in data warehousing and business intelligence environments, where data from multiple sources needs to be integrated, transformed, and stored for analysis and reporting. Data pipelines enable data integration from disparate healthcare systems, transforming and cleansing the data to improve data quality.

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What is Data Mapping?

Jet Global

The quick and dirty definition of data mapping is the process of connecting different types of data from various data sources. Data mapping is a crucial step in data modeling and can help organizations achieve their business goals by enabling data integration, migration, transformation, and quality.