Este currículum vitae detalla la información personal, educación y experiencia laboral de Cesar Reyes. Reyes ha estudiado hasta tercer año de psicología en la Universidad Central y ha tomado varios cursos técnicos. Su experiencia laboral se ha centrado principalmente en cargos de limpieza industrial y mantenimiento en varias empresas durante las últimas dos décadas. Actualmente trabaja como auxiliar de limpieza y mantenimiento en RUBA S.A.
The document discusses how the traditional data analytics process of extracting, transforming, and loading data into a data warehouse is inefficient and costly. It introduces Optier, a Cassandra database, as fundamentally changing the analytics process by storing data transactionally at the application level and making it available for analytics within hours or days instead of months. This new process creates massive value by allowing analytics to address business needs much more quickly and cheaply.
The document discusses how transaction-based data analytics can be fundamentally improved. It argues that the traditional process of extracting, transforming and loading data into a data warehouse is inefficient and costly. A new solution called OpTier is proposed that uses a Cassandra database to store application data and enhance data sets directly, allowing analytics to be performed quickly without the delays of traditional data warehousing. This represents a fundamental change to the analytics process that could deliver unprecedented results by supporting rapid analysis and saving large amounts of time and money.
Este currículum vitae detalla la información personal, educación y experiencia laboral de Cesar Reyes. Reyes ha estudiado hasta tercer año de psicología en la Universidad Central y ha tomado varios cursos técnicos. Su experiencia laboral se ha centrado principalmente en cargos de limpieza industrial y mantenimiento en varias empresas durante las últimas dos décadas. Actualmente trabaja como auxiliar de limpieza y mantenimiento en RUBA S.A.
The document discusses how the traditional data analytics process of extracting, transforming, and loading data into a data warehouse is inefficient and costly. It introduces Optier, a Cassandra database, as fundamentally changing the analytics process by storing data transactionally at the application level and making it available for analytics within hours or days instead of months. This new process creates massive value by allowing analytics to address business needs much more quickly and cheaply.
The document discusses how transaction-based data analytics can be fundamentally improved. It argues that the traditional process of extracting, transforming and loading data into a data warehouse is inefficient and costly. A new solution called OpTier is proposed that uses a Cassandra database to store application data and enhance data sets directly, allowing analytics to be performed quickly without the delays of traditional data warehousing. This represents a fundamental change to the analytics process that could deliver unprecedented results by supporting rapid analysis and saving large amounts of time and money.