View allAll Photos Tagged data
Beautiful Data: The Stories Behind Elegant Data Solutions by Toby Segaran and Jeff Hammerbacher (this is what I bought as my book for the day)
Ada's Technical Books
This is quite a nice technical book store in the Capitol Hill neighborhood of Seattle
User contributed photo of a recent data center "Construction Kit" campaign. knowledge.digitalrealtytrust.com/2009/09/construction-kit...
It’s a great idea but the whole point having a lifeboat archive of all your photos is affordability to get that lifeboat. Images are great and I have 19000 of them from 20 years on the platform. It’s. A great idea. Looks good but in practice no one’s using it as a full backup as intended because it’s so damn expensive. Bear in mind the price may be USD (it’s unclear but it’s Flickr so almost surely USD) Making a full backup to a data vault may be nearly $500 aud.
Great idea that no one will use for its intended purpose due to the costs.
Fascinating as Flickr’s own backup tools are rather capricious and unpleasant to use.
Buy hey pay us money you get your photos.
It’s another way smugmug is trying to make money off the business and as usual it’s expensive and boutique. And useless because of the arbitrary tiers and high cost of what’s obviously an automated product. So money for jam for smugmug
Rolls-Royce has launched R² Data Labs, to act as an acceleration hub for data innovation. Using advanced data analytics, industrial Artificial Intelligence and machine learning techniques, R² Data Labs develops data applications that unlock design, manufacturing and operational efficiencies within Rolls-Royce and creates new service propositions for customers.
Hurry Up, Get ready to become certified big data analyst from Analytixlabs and get a good placements in top companies. A completely industry relevant Big Data Analytics training and a great blend of analytics and technology, making it quite apt for aspirants who want to develop Big Data Analytics skills and head-start in Big Data. Read more here www.analytixlabs.co.in/big-data-analytics-hadoop-spark-tr...
Quick-Look Hill-shaded Colour Relief Image of 2014 2m LIDAR Composite Digital Terrain Model (DTM).
Data supplied by Environment Agency under the Open Government License agreement. For details please go to: www.nationalarchives.gov.uk/doc/open-government-licence/v...
For full raster dataset go to: environment.data.gov.uk/ds/survey
Further proof that the people who make Flickr are smart and beautiful and worthy of our admiration: They understand data.
In programming, there's a lot of temptation to make "magic numbers." Like, this value is always a number, except for this one special case, so I'll just set it to -1 (or 99, or 0) in that case, and use the code to check for that. Or maybe, I want to store a date here, but sometimes the users don't know the exact day, so I'll just set the day to the first (or the 15th) of the month in those cases.
No, instead, unknown data is unknown. And that's as it should be. That's what null is for.
In the Organizr, ludicorp demonstrates that they get it. You can enter the date your photo was taken, but you can also be vague. If you choose to be vague, the display page for the photo is also vague. Think of it as avoiding the evils of precision without accuracy. Think of it as maintaining significant figures.
Think of it as beautiful.
This image: For more than a century, astronomers have categorized galaxies near and far, both by comparing their shapes by eye and precisely measuring their properties with data known as spectra. For example, Edwin Hubble created the Hubble Tuning Fork in 1926 to begin to sort the shapes and sizes of nearby galaxies, showing that many are spirals and ellipticals.
As telescopes’ instruments have become increasingly more sensitive, it is easier to more accurately classify their shapes. New data from the James Webb Space Telescope have added nuances to astronomers’ classifications. Since Webb observes in infrared light, many more extremely distant galaxies appear in its images. Plus, the images are finely detailed, allowing researchers to identify if there are additional areas of star formation – or confirm they aren’t present.
A team led by Viraj Pandya, a NASA Hubble Fellow at Columbia University in New York, recently analyzed hundreds of distant galaxies in Webb’s Cosmic Evolution Early Release Science (CEERS) Survey. CEERS intentionally covers much of the same area as the Hubble Space Telescope’s Extended Groth Strip, which was one of the five fields used to create the Cosmic Assembly Near-infrared Deep Extragalactic Legacy Survey (CANDELS). This allowed them to double-check Webb’s results where the telescopes’ observations overlap.
“Our analysis of Webb’s galaxies was very consistent with galaxies in the Hubble Space Telescope catalog,” Pandya confirmed. “Two sets of data allowed us to fully vet our models as we ran our analysis, and better understand and categorize galaxies that only Webb detected.” The team began their analysis by sorting the galaxies into broad classes based on similar characteristics. (They did not classify each galaxy’s individual appearance since that would require detailed information from data known as spectra.)
They found an array of odd shapes when the universe was 600 million to 6 billion years old. The galaxy shapes that dominate look flat and elongated, like pool noodles or surfboards. These two galaxy types make up approximately 50 to 80% of all the distant galaxies they studied – a surprise, since these shapes are rare closer to home.
Other galaxies Webb detected appear round but also flattened, like frisbees. The least populated category is made up of galaxies that are shaped like spheres or volleyballs.
Webb’s data also resolved a riddle that was introduced by the Hubble Space Telescope’s observations decades ago. Why do so many distant galaxies appear like long lines? Was there more to the galaxies that didn’t appear in its images? Webb answered this in short order: Hubble hasn’t missed anything.
“Webb confirmed what Hubble has long shown us, but in greater detail in infrared light,” Pandya said. “Their combined observations show that in the early universe, many more galaxies appear flat and elongated. This has profound implications, since we usually assume that galaxies like our own Milky Way started out as disks, but that may not be the case.”
Why do galaxies have such different shapes early in the history of the universe? This question remains unanswered for now, but research is underway to better understand how galaxies evolved over all of cosmic time.
Read more: www.nasa.gov/missions/webb/webb-shows-many-early-galaxies...
Credits: NASA, ESA, CSA, STScI, Steve Finkelstein (UT Austin), Micaela Bagley (UT Austin), Rebecca Larson (UT Austin)
Image description: In the far-left column are two galaxies that have been magnified. The top left galaxy appears circular and light pink with a slightly whiter central region, taking up less than one-sixth of the box. The bottom galaxy is elongated, stretching almost from top left to bottom right. It has a white line at the center that has a pink outline that transitions into bluish edges at far left and right. Thin lines from each magnified galaxy point to their appearances in the broader field. The top galaxy appears as a tiny dot at the upper center, and the bottom galaxy toward the left. Thousands of galaxies appear across most of this view, which is set against the black background of space. There are many overlapping objects at various distances. They include large, blue foreground stars, with Webb’s signature eight-pointed diffraction spikes, and white and pink spiral and elliptical galaxies. Numerous tiny red dots appear throughout the scene. This is a portion of a vast survey known as CEERS.
Get trained in Big Data from Databyte Academy. A completely industry relevant Big Data Analytics training and a great blend of analytics and technology. Join a leading Big Data training Institute in Malaysia. For more click here databyte.com.my/certified-big-data-analytics-and-hadoop-t...
Steps Involved In Data Recovery. For free and full access check it out here datarecovery.gogoodpages.com