Data Warehouse Trends 2017

Internet giants Google and Facebook have achieved huge value by managing and analyzing big data, prompting CIOs to ask whether emerging technologies can create brilliant results within their own businesses. The idea is partly encouraged by industry analysts predicting that big data will grow at breakneck speed. Wikibon predicts that by 2015 the big data market will jump from $5 billion trillion in 2012 to more than $30 billion trillion, up to $53.4 billion in 2017 (where you can ...).

Today, some of the most successful companies gain a strong business advantage by capturing, analyzing, and leveraging a large variety of "big data" that is fast moving. This article describes three usage models that can help you implement a flexible, efficient, large data infrastructure to gain a competitive advantage in your business. This article also describes Intel's many innovations in chips, systems, and software to help you deploy these and other large data solutions with optimal performance, cost, and energy efficiency. Big Data opportunities People often compare big data to tsunamis. Currently, the global 5 billion mobile phone users and nearly 1 billion of Facebo ...

Big data is the most hot technical vocabulary of the 2013, and the year's big data market is growing fast, and more and more companies are embracing big data solutions, and as the ecosystem matures, Hadoop is no longer a toy for talented technicians, It is a powerful "mine machine" that data scientists and business people tap into the business value of data. If the 2013 is just a big data market warm-up and qualifying, then the 2014 Big data market will usher in the World Cup feast, recently CIO magazine gave a 2014-year Big Data Market forecast, the IT Manager network compiled ...

Big data is the most hot technical vocabulary of the 2013, and the year's big data market is growing fast, and more and more companies are embracing big data solutions, and as the ecosystem matures, Hadoop is no longer a toy for talented technicians, 　　It is a powerful "mine machine" that data scientists and business people tap into the business value of data. If the 2013 is just a big data market warm-up and qualifying, then the 2014 Big data market will usher in the World Cup feast, recently CIO magazine gave 2014 Big data Market forecast, it ...

Big data is the most hot technical vocabulary of the 2013, and the year's big data market is growing fast, and more and more companies are embracing big data solutions, and as the ecosystem matures, Hadoop is no longer a toy for talented technicians, It is a powerful "mine machine" that data scientists and business people tap into the business value of data. If the 2013 is just a big data market warm-up and qualifying, then the 2014 Big data market will usher in the World Cup feast, recently CIO magazine gave a 2014-year Big Data Market forecast, the IT Manager network compiled ...

Big data will become the cloud of the year. This is the inevitable result: over time, the enterprise produces more and more data sets, including customer purchase preference trends, site visits and habits, customer review data, etc. so how can you put so much data into a comprehensive form? Traditional business Intelligence (BI) tools (relational databases and desktop math packages) are a bit out of the way to deal with such a large amount of data in a business. Of course, the data analysis industry also has development tools and frameworks to support data researchers and analysts in mining large datasets, and can underwrite ...

Big data will become the cloud of the year. This is the inevitable result: over time, the enterprise produces more and more data sets, including customer purchase preference trends, site visits and habits, customer review data, etc. so how can you put so much data into a comprehensive form? Traditional business Intelligence (BI) tools (relational databases and desktop math packages) are a bit out of the way to deal with such a large amount of data in a business. Of course, the data analysis industry also has development tools and frameworks to support data researchers and analysts in mining large datasets, and can underwrite ...

Big data will become the cloud of the year. This is the inevitable result: over time, the enterprise produces more and more data sets, including customer purchase preference trends, site visits and habits, customer review data, etc. so how can you put so much data into a comprehensive form? Traditional business intelligence (BI) tools ( relational databases and desktop math packages are a bit out of the way to deal with such a large amount of data in a business. Of course, the data analysis industry also has development tools and frameworks, ...

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