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Interview with Teradata executives: How to handle large data intelligently

Baoliming (Stephen Brobst) is the chief technical officer of the Http://www.aliyun.com/zixun/aggregation/8302.html > Data Warehouse Company Teradata, while Martin Willcox is the company's sales director for platforms and solutions in Europe, the Middle East and Africa. They recently interviewed TechTarget and described their views on the big data technology industry in the 2013. The first part is Martí ...

Interview with Teradata executives: How to handle large data intelligently

Baoliming (Stephen Brobst) is chief technical officer of the data warehousing company Teradata, while Martin Willcox is the company's platform and solution sales Director in Europe, the Middle East and Africa. They recently interviewed TechTarget and described their views on the big data technology industry in the 2013. The first part is Martin Willcox's interview record: SAP thinks its memory database device Hana is a technology that leads to change. What do you think of memory technology? Wil ...

The ten most important IT companies for enterprise users

Absrtact: "Information weekly" to the enterprise users the most important ten IT companies. They are indispensable to the day-to-day operation of the enterprise, is the backbone of it buildings, and strategic position is difficult to replace. In the past decade, Newsweek editors have interviewed the top ten IT companies that are most important to corporate users. They are indispensable to the daily operation of the Enterprise, is the pillar of it "mansion", and the strategic position is difficult to replace. Over the past decade, Newsweek editors have interviewed countless corporate executives and asked the question countless times: Who do you think ...

Open source tools to solve large data

Open source code platforms for large data are becoming popular.   In the past few months, almost everyone seems to have felt the impact. Low cost, flexibility and applicability to trained personnel are the main reasons for open source prosperity. Hadoop, R, and NoSQL are now the backbone of many of the enterprise's big data policies, whether they use it to manage unstructured data or perform complex statistical analyses. "It's almost impossible to keep up with it: SAP AG recently released a new product, SAP BusinessObjects Predictive analytics, software integration ...

Big Data Doomsday omens or big business opportunities?

We have all heard the following predictions: By 2020, the amount of data stored electronically in the world will reach 35ZB, which is 40 times times the world's reserves in 2009. At the end of 2010, according to IDC, global data volumes have reached 1.2 million PB, or 1.2ZB. If you burn the data on a DVD, you can stack the DVDs from the Earth to the moon and back (about 240,000 miles one way). For those who are apt to worry about the sky, such a large number may be unknown, indicating the coming of the end of the world. To ...

Networked cars, BI and Hadoop

Ford Motor Company has been walking in front of the mobile car. The carmaker is trying to build the most intelligent networked cars and bring them to a whole new level of mobility. "How do we transplant our customers experience from mobile devices to our cars?" "Jim Buczkowski, director of the Electronics and electrical systems at Ford Motor Company, conducted a keynote speech at the Xconomy Forum Symposium," The Mobile boom: the theme of innovation in the 2014. "Advertisement will combine these two mobile experiences to ...

Optimized Hadoop distributions make hybrid architectures the past

Data is the most important asset of an enterprise. The mining of data value has always been the source of innovation of enterprise application, technology, architecture and service. After ten years of technical development, the core data processing of the enterprise is divided into two modules: the relational database (RDBMS), mainly used to solve the transaction transaction problem; Based on analytical Data Warehouse, mainly solves the problem of data integration analysis, and when it is necessary to analyze several TB or more than 10 TB data, Most enterprises use MPP database architecture. This is appropriate in the traditional field of application. But in recent years, with ...

How large data will affect the fate of the datacenter

Large data requires a large amount of computational resources to store, organize, and report results.   This emerging sector has changed the way data center servers and other infrastructure are chosen and deployed. In order to compete and succeed in today's business environment, companies have to make business decisions by multidimensional analysis of existing data.   Analyzing these ballooning data has become an increasingly important trend and opportunity. The Searchdatacenter Advisory Committee will introduce the business model affected by large data, how to change the operation of Enterprise Data center, and ...

"Non-competitive": Open integration is more conducive to big data mining

In the fall of 2012, when CEO Su Mingtian, the chief executive of WPP Group, a global advertising giant, visited Google CEO Larry Page, Peiqi dispatched his driverless car to pick him up. It is a self-driving Lexus SUV car with a lot of high-tech equipment and radar, sensors and more than 1.5 million laser scanners per second. It self-service traveled 20 minutes, passing Interstate 280 and the busy State Route 85. Car autopilot auto-cruise, self-correcting route, appears in the front ...

Large data value: Decision Support System

In the fall of 2012, Sir Martin, chief executive of WPP, the global advertising giant, visited Google's chief executive Larry Page when he sent an unmanned car to pick him up. It is a large high-tech equipment, self-driving Lexus SUV, equipped with radar, sensors and laser scanners measuring more than 1.5 million times per second. It has been traveling for 20 minutes, driving through Interstate No. 280 and the busy 85th State highway. The car automatically cruise through the autopilot, self correction route, in front of the vehicle and pedestrian deceleration, and then add ...

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