A data lakehouse is a data architecture that combines a data lake and a data warehouse to enable machine learning, business intelligence and predictive statistics…

A data warehouse is a data management system for data reporting, analysis, and storage. It is an enterprise data warehouse and is part of business intelligence…

Databricks serves as an integrated platform designed for data engineering, machine learning, and collaborative data science endeavors…

Cloud Data Fusion is a cloud-native data service made by Google which allows users (technical and non-technical) to seamlessly integrate information from several resources like: databases (relational and NoSQL)…

#ProjectManagement is not just about managing spreadsheets and deadlines, present and future projects require Project Managers and/or Scrum Masters who are strategic partners…

Today, with the evolution of analytical tools and the exploitation of information, it’s necessary to have information assurance processes, segmenting it in a way that, according to business profiles, certain users or user groups can access relevant information for their…

#AmazonSageMaker is a #machinelearning platform that is fully managed by #AWS. It enables developers, data scientists, and engineers to quickly and easily build, train, and deploy…

#Copilot in #PowerBI, can understand user questions and provide relevant answers, thus streamlining the decision-making process. This integration revolutionizes the way…

Data quality is crucial in both ETL and ELT processes. In ETL, data quality is managed during the extraction…

Is a set of products made by #Google that can be used to set up, train, and use machine learning models with little prior knowledge about…

The implementation of #analyticaldatamodels in a company can provide several…

#SAPHANA supports a comprehensive environment for machine learning

AI revolutionizes data analysis in all industries and professions…

Developers often make three common mistakes when implementing the #MDW pattern…