The Model Doc Approach to Information Design
Most software developed to work with relational databases, and more recently, with NoSQL databases, uses some type of mapping layer to retrieve and persist data between the application layer and the database. For us, this raised the question of how to define the object model and the database schema together, so that one implied the other, and could be used to generate the software artifacts that bind the application to the database.
EC Wise recently introduced our Enterprise Data Warehouse with Integration in a box, the DecisionHub. Based on Oracle’s Database Appliance, the DecisionHub packages a 2-node Oracle RAC Cluster, ETL and Reporting capability with reliable storage all in a 4-u rack mounted appliance.
Data Processing, Database Management and Analytics in the 21st Century
While RDBMS products were the mainstays of business applications in the 1990s, 21st century data challenges require 21st century solutions. In this white paper we recap the history of database management over the past thirty years, discuss how various data management strategies (RDBMS, Hadoop, NoSQL) map to different business scenarios, and take a little stab at predicting the future.
11 Reasons to Choose EC Wise Cloud Virtual
Analysts estimate that 50 to 70% of the IT budget is spent managing computer infrastructure. IT needs to help their companies provide users and customer more high value services to deliver competitive advantage, but are instead spending considerable time, cost and effort managing IT infrastructure to “keep the lights on.”
Advanced Analytics and Data Warehouse Services Overview
Competing on information is critical. Real-time operational intelligence is becoming an imperative for optimizing businesss performance. Today, operational decisions are often based on very little information because there is too much data to comprehend. Users are snowed in by information. EC Wise delivers solutions that drive real-time and historical Business Intelligence.
Harvesting of Valuable Knowledge from Legacy Systems
One of the most pressing challenges for Information Technology organizations today is the harvesting of valuable knowledge from legacy systems – that are typically siloed – to facilitate the creation of contemporary business platforms for operations and analysis.