Organizations today need to handle and manage increasingly large volumes of data in various formats and coming from disparate sources. Though the benefits to be gained from analysis of such big data are immense, so are the inherent challenges, including need for rapid analysis. In his article, TEC BI analyst Jorge García discusses how in-memory analytics helps address these challenges and reap the benefits hidden in big data.
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Meets Big Data So, how do in-memory technologies fit within the big data spectrum? As the volume, variety, and the processing speed of data increases, organizations will need increasing amounts of data to be collected and analyzed as part of the decision-making process. This information will also need to analyzed in timely manner to confer a competitive advantage. For some organizations, the latency period—i.e., the time it takes for the data to be collected, analyzed, and available for decision