Tag: data warehousing

French ISPs will not surrender their clouds to government

libertyFrench ISPs have warned the government that they will move their operations out of France if the government brings through a bizarre spying bill.

Five hosters of French computer data said the bill will create an intelligence “exile” from France as ISPs try to avoid losing their customers by moving their operations somewhere else in the EU.

The five do not want to install the “real-time capture of data connection” boxes on their sites which is part of the law.

The ISPs believe that this project “will not reach its goal of putting every French person under surveillance, and will destroy a major segment of the economy of the country.” They said that their customers will turn to other territories to flee the intrusion.

The five have pledged to move their infrastructure, investments and employees where our customers will want to work with us. This will mean massive job losses in France.

“There are thousands of jobs … and start-ups and large companies will go also create elsewhere,” they added.

Two of the biggest data warehouses Gandi and OVH signed the statement along with IDS outfits Ikoula and Lomaco.

The French Association of Software and Internet solutions Publishers (AFDEL), which brings together publishers and Internet companies, said that the proposed implementation of the devices mentioned in the bill was “vague” and that it “feared” that this law, which is part of an extra-judicial framework, would undermine confidence in digital technologies and solutions and thus the competitiveness and attractiveness of French industry.

Big data is riddled with myths

server-racksMarket research company Gartner enumerated what it described as five big data myths.

The company said that companies tended to believe that their competitors were ahead of them in the adoption of big data.  But its survey showed that while 73 percent of organisation intending to invest or planning to invest in big data, most organisations are still in the “very early” staged of adoption.

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Only 13 percent of the companies it surveyed had actually deployed anything. And companies face a challenge how to obtain value from big data.

The second myth is that many IT folk believe the large volume of data held means faults with individual flaws don’t matter.  But, said Ted Friedman, a VP at Gartner: “Although each indiviidual flaw has a much smaller impact on the whole dataset than it did when there was less data, there are more flaws than before because there is more data.”  The impact of poor quality data remains the same, he said.

Myth three  is that big data technology removes the need for data integration..  But most information users rely heavily on scheme on write – meaning data is described, content is prescribed and there’s agreement about the integrity of data.

The fourth myth, according to Gartner, is that you don’t need a data warehouse for advanced analytics.  But that’s not necessarily true – many advanced analytics projects use a data warehouse during an analysis.

And, finally, so-called “data lakes” aren’t going to replace data warehouses.  A data lake is defined as enterprise wide data management that analyses different sources of data in their native file formats.  Data lakes lack the maturity and breadth of features in established data warehouse technologies.