Cloud deployment and distributed computing concepts are challenging the assumptions built into the architecture of most BI tools. The shift occurring in the technology underpinnings of the BI market is still at an early stage, but the direction is obvious: away from client-server models and toward distributed computing. The historic mindset of BI vendors is …Read More
Nothing is Standalone: Streaming Data Acquisition in Enterprise IT
We’ve solved the data capture problem for most transactional data. We have solutions for data acquisition involving data that has been persisted, whether it be in a relational database like Oracle or something as simple as a log file. Data integration (DI) platforms from large vendors, single-purpose products from ETL vendors and open source projects …Read More
Data Integration in the New Data Architecture Means More than ETL
The problem addressed by business intelligence (BI) and data warehousing was the problem of data access. Read-only access to known data is the domain of dashboards, reports and cubes, a solved problem for most organizations. The unsolved problem for most organizations is analysis, a shift from predictable questions on known data to less predictable questions …Read More
Analytics When and Where It’s Needed
Unlike decisions with a longer time frame served by business intelligence (BI) tools and a data warehouse (DW), operational decisions need data that is available within the same time frame as the tasks of the operational processes. The traditional BI and DW environment was not intended for real-time task integration and business operations. It was …Read More
The Platform Imperative for Streaming Data Applications
The realm of streaming data applications has been limited to a small segment of companies for a long time. This was due to the high cost of software needed, the level of technical difficulty and lack of applicability outside of key vertical industries like telecommunications and the financial services. For more information on real-time data-driven …Read More