Unify Cloud, Big Data and Enterprise Data with Ease

Grazed from Sys Con Media. Author: Robert Eve.

While Software-as-a-Service (SaaS), Platform-as-a-Service (PaaS), and Infrastructure-as-a-Service (IaaS) offer applications and resources at an attractive, pay-as-you-go price, they also create silos of data that are difficult to access by your analytics and BI solutions. Likewise, Big Data offers new storage techniques, processing capabilities and analytic opportunities. But traditional analytics and BI solutions are typically built assuming relational, SQL-based sources. These often struggle when trying to deliver value from these new No-SQL sources.

Cloud and Big Data Silos Add Value to Analytics and BI
Analytics and BI opportunities today are abundant and can significantly add value to a business. According to the Professors Andrew McAfee and Erik Brynjolfsson of MIT: "Companies that inject big data and analytics into their operations show productivity rates and profitability that are 5% to 6% higher than those of their peers." Data is the critical success factor. Because without data, there can be no analysis. The more data the better, including data sourced from the cloud, Big Data and existing enterprise data warehouses…

The Data Integration Bottleneck
Providing analytics and BI solutions with the data these require has always been difficult, with data integration long considered the biggest bottleneck in any analytics or BI project.
For the past two decades, the solution has been to consolidate the data into a data warehouse, and provide users with tools to analyze and report on this consolidated data. However, data integration based on these traditional replication and consolidation approaches have numerous moving parts that must be synchronized. Doing these properly slows solution delivery…

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