These are mostly data streams that capture transactional data from revenue-generating activities the organization manages.
Transactional data helps businesses make money, and the government thinks consumers should profit from it too.
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We can combine that with cellular data to fill in the blanks, and transactional data to understand their financial interactions.
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All of the transactional data gets consolidated in a data warehouse and then gets crunched into reports and other environments set up to answer a specific set of questions.
It also adds that Neeb is leaning on his CIO chops to ensure that International Speedway is able to blend market-facing social-media data with transactional data such as sales of customer tickets.
The cost to the Indian companies, which do everything from running call centers to managing the massive amounts of transactional data generated by banks, could run to several hundred million dollars in lost profits.
But he says that with the help of SAP data compression technology that crunches down data by 10-20x, you can now run the largest companies in the world with several years of transactional data in main memory.
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Instead, the reason why the conversation around bringing SQL to Hadoop has been so heavily discussed, is because the majority of the revenue opportunity for Big Data vendors is currently in helping enterprises transform and accelerate the evolution of their non-transactional data management into the Hadoop framework.
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Transactional systems, data warehouses, data marts, etc.
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Transactional Applications: data-centric systems designed to handle core business transactions and processes.
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Resulting improvements are expected to bring benefits to enhance cloud computing, high-performance computing, web servers, transactional databases, and data analytics, while reducing power needs by nearly 10%.
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Last year we did hit approximately 1 zettabyte (one trillion gigabyte) of data in the public web and the speed by which new data is created continues to accelerate, including unstructured data in the form of text, semi-structured data from M2M communication and structured data in transactional business applications.
The underlying promise is to provide companies a rich set of offer content, a marketing engine capable of reaching customers over multiple channels including email, SMS, social media and ads, an integrated transactional platform, and a rich data and analytics engine to optimize targeted delivery of offer content all within company branding.
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Big data, predictive analytics, personalization and transactional media are the future.
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Our base foundation around virtualization of Big Data has been tried around the world under the most pressing conditions and across applications and transactional systems.
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