A data warehouse is a key component of business intelligence, and is the core of data reporting and analysis. Data is uploaded from systems such as marketing and sales, and is stored with recent data alongside historical. This allows for comparisons to be made, and trends to be observed in terms of a business’ success. A typical data warehouse uses an ‘ETL’ model, meaning that the data goes through a process of extraction, transforming and loading. The end result is an organized, retrievable set of data, often with extraneous data removed during the process through ‘data cleansing’.
Data is organized into hierarchical groups, and categorized as either facts or aggregate facts. Managers and business professionals are then able to use the data for market research and decision support.Hire Data Warehouse Experts
We are looking for consultant on Oracle Data Architect and modeler who knows ETL, RDBMS, SAP, Bigdata and Java Requirement Data Architect + Modeler. 1. ETL, Data Lake, Data warehouse, and Data platforms. [login to view URL] & RDBMS Databases [login to view URL], Cloud solutions and Big Data. 4. Semantic Modeling. 5. Erstudio/Erwin tools. [login to view URL], Json, Api, AWS
Buscamos trainers que entreguen capacitaciones técnicas a los líderes y equipos de las organizaciones más grandes en Latinoamérica. Tu rol es acompañar a las organizaciones en su camino de transformación digital con capacitación sobre Google Cloud Platform (GCP). Requisito: Tener al menos una de las siguientes certificaciones vigentes: Google Cloud...