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Reading Time: 4 minutes What do data virtualization, streaming, and extract, transform, and load (ETL) processes have in common? They all deliver data from disparate sources to the business intelligence (BI), analytics, and other applications used by businesspeople, data scientists, and analysts. Like utilities,…
Reading Time: 4 minutes 2019 is the year of the data-driven organization. The more data an organization collects, the more insights they will have, right? Well no actually, it’s more about how you glean the insights from the data rather than how much data…
Reading Time: 2 minutes Mergers and acquisitions are a fact of life, and they often take a toll on everyday business; people, real estate, processes, and systems need to be properly integrated before the acquiring company and the acquired company can act as one….
Reading Time: 2 minutes Savvy organizations know that business growth and success are intrinsically linked with an effective strategy for managing data. But as the big data momentum builds, more questions are raised. In this post, I’ll answer five of the most important ones….
Reading Time: 7 minutes Many organizations have made it a high priority to implement a data virtualization solution. This makes sense, since traditional data warehouses can no longer keep pace with the explosive growth in data volumes and user queries. The logical data warehouse…
Reading Time: 3 minutes It’s a common business challenge: the business users require information quickly to inform important decisions, but the team they rely on for this need, primarily the IT team, cannot provide the information fast enough. Perhaps more than a challenge, it’s…
Reading Time: 2 minutes Breathe new life into your ETL Processes In many organizations, data integration still means using ETL processes to perform the traditional heavy-lifting of data replication and consolidation. While ETL is a tried and tested method for consolidating structured data into…
