Can your current data architecture handle the massive influx of data that is coming into the enterprise every day? If not, it’s time to think about modernizing your data architecture to ensure you...
ETL data (extract, transform and load) has for years been a workhorse technology for enabling analysis of business information. But now it’s being joined by a new approach, called data preparation...
You know that big data involves lots of information. But have you ever stopped to think about just how much, exactly, goes into it? In other words, how big is big data, actually? Defining big data...
Leveraging data integration for vital insights How can business intelligence analyses be effectively conducted on data that comes from many different sources and locations, each with its own unique...
Database migration takes time. But how long, exactly, should you expect a database migration to last? Which factors influence the length of time that data migration requires? We explore in this...
What is change data capture? Does it have any importance or bearing on the work that you do? We’ll answer the first question shortly, but the answer to the second question is most certainly...
How much does big data cost? There are two ways to answer that question: The simplistic way, which looks only at surface-level big data costs, and the comprehensive way, which factors in the...
Compared to two decades ago, when data integration techniques were a more straightforward operation for most organizations, data integration has become the connective tissue that holds the modern IT...
Data integration has come a long way in the past few decades. In the past, integration was based on ETL processes that used a few skilled developers to fulfill data integration requirements. Fast...
