These drives are packed with a daunting amount of data: production schedules, marketing strategies, departmental budgets, financial projections.
Russian statistical agency Rosstat released yet another set of solid monthly data this week, following strong industrial production data last week.
The only accurate and defensible way to get rid of data in a corporation is to define a solid policy, and apply it to not only your current production data, but the legacy data as well.
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The government will announce the March industrial production data toward the middle of May.
And the most plausible interpretation of that production data is that demand is below expectations.
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On Sept. 9, inflation data, industrial production, trade balance and retail sales are expected.
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Also, better-than-expected German industrial production data for April was reported, at up 1.2% when a 0.2% decline was expected.
The solution that works best for solving this problem is to mask the production data after it is cloned.
In Asia, data showed industrial production and retail sales in China for the January and February period missed expectations.
Tuesday's infrastructure data show steel production increased 6.6% from a year earlier in March, after a 0.5% expansion in February.
Setting up new environments is a snap with such software, allowing your development team to use production data when testing.
Commerzbank cited data showing that production in the country declined in October by 5.7% month-on-month to 1.49 million metric tons.
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U.S. economic data due for release Friday includes Treasury international capital data, industrial production and capacity utilization, and quarterly e-commerce retail sales.
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January industrial production data, out next Thursday, should grow 1% from December.
For instance, even though retail sales and industrial production data in July were higher than consensus expectations, the previous values were revised lower.
It would probably be more accurate to say that most people involved in development and testing don't realize they are working with production data.
Strong production data helped lift mining stocks in Sydney, with shares of BHP Billiton Ltd. rising 0.8% after its iron-ore output surged 22% in October-December.
When you put production data in a sandbox, it becomes vulnerable.
Production data always provides a better basis for development and testing.
Well, it is fabulous to be able to create a development or test environment so quickly, but the use of production data represents a huge risk.
The industrial production data issued on August 15th showed better-than-expected growth of 0.2% in July and also suggest quite strong productivity growth in the manufacturing sector.
European stocks mostly declined, with the Stoxx Europe 600 down 0.4%, after industrial-production data in the euro zone showed output fell in November from the previous year.
This week has seen industrial production data coming out of the major EU countries, and all of that data showed significant industrial output contraction in those countries.
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In overnight trading, U.S. stocks rose in part of the strength of Chinese data on industrial production, which increased by 13.3% in May from a year earlier.
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Industrial production data is due later in the morning session.
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European markets lost ground, with the Stoxx Europe 600 finishing down 0.9% after running up 2.7% over the previous four sessions, as worries about Cyprus offset better-than-expected production data.
Both of these facts, consistent overlap with occasional errors of the same magnitude, would lead me to believe that the data on Russian production, while not perfect, is reasonably accurate and reliable.
U.S. economic data due for release Friday includes the Empire State manufacturing survey, Treasury international capital data, industrial production and capacity utilization, the University of Michigan consumer sentiment survey, and quarterly e-commerce retail sales.
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Indeed, sovereign debt markets in Europe have been pricing in the political and economic weaknesses that have emerged with slow-moving reforms to address the crisis and data dips in production and output from the euro zone.
These boxes can coordinate the more complex arrays of tasks required in food, beverage and paper plants--new territory for Rockwell--and zip production data to back-office computers so customers can react sooner to blips in supply and demand.
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