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Showing posts with label data. Show all posts
Showing posts with label data. Show all posts

Wednesday, May 8, 2019

Your Digital Identity becomes you


Digital identity defined. Your digital identity consists of various pieces of information about you—in digital form—that, when put together, point to you. Such pieces of information are often called “data attributes”. Still, it's worth trying to stay on top of how you handle your personal information. Historically, we have assumed that people are better at checking and verifying identities than computers.


A digital identity arises organically from the use of personal information on the web and from the shadow data created by the individual's actions onlineA digital identity may be a pseudonymous profile linked to the device's IP address, for example, or a randomly-generated unique ID.
However, technology has recently become better than people. There is by definition a need for regulations to be up to date with these results and allow computers to start performing these tasks instead of humans. Digital Identity is a very interesting trend to watch.

Thursday, April 25, 2019

Better data saves marine mammals


            Some marine mammal populations are in major recovery due to successful conservation efforts. Behind these efforts is better data. By filling gaps in our knowledge of marine mammal populations and their movement patterns, scientists are discovering the reality of their situation. Better data makes it easier to create more effective recovery programs.

               Marine mammals are a loose grouping of about 127 species including animals like whales, dolphins and polar bears. According to a report in the Public Library of Science (PLOS) that assessed the recovery of marine mammals, some species that have declined in numbers by as much of 96 per cent have recovered by 25 per cent. Recovery means the population has increased significantly since their decline was recorded. The report highlights the need for enhanced monitoring of marine mammal populations and for collecting more reliable population data so that scientists can make better population trend estimates and create population management programs that are sure to work.
                  As scientists collect more and more data on endangered marine mammal populations, the easier it will be to target what threatens them and monitor their progress towards recovery. We will see more species like the Florida manatee leave the endangered list and once again become thriving populations. The data will also better reflect the effect pollution, climate change, commercial fishing, ship traffic and coastal construction projects have on marine mammal populations and encourage global environmental protection efforts. In the end, accurate data is what will help us solve a variety of environmental issues that threaten the future of our planet.

Friday, April 5, 2019

Big Data


               Big Data and Hadoop Training – Explore the Curriculum to Master Big Data and Hadoop. Big data refers to problems that are associated with processing and storing different types of data. Most of the companies today, rely on big data analytics to gain huge insight about their: customer, product research, marketing initiatives and many more. The consolidation of big data vendors (as measured by the dwindling number of vendors at trade shows like Strata) will level off. Soon, the number of companies getting acquired or simply disappearing will match the number of new entrants.



               For your surprise, big data led Germany to win the world cup. Hadoop and Spark are the two most famous frameworks for solving Big Data problems. If you already have some knowledge of Big Data, splendid! If not, now is the time to start. With 2018 coming to a close, it’s time to engage in that long-standing New Year’s tradition of putting on our sorcerer hats and predicting what’s ahead for big data trends in 2019.

           Fewer vendors will get funded, but more of them will be delivering a greater level of innovation and value. the first wave of big data vendors included many organizations that weren’t building businesses–they were building features. As more of them get rolled up into an integrated stack, it will be up to the next generation of players that come in to transform big data into something that’s truly big.

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