Day: August 8, 2017

Stepping into the trippy, sensational world of artist Bonethrower

Last Saturday on August 5th, the LA venue Rhabbitat held a special release party for the limited edition Adidas Skateboarding x Bonethrower footwear and apparel collection and gave people a chance to step into the trippy, sensational world of artist Bonethrower. Put together by Juxtapoz Magazine and Adidas Skateboarding, the event featured otherworldly sculptures, statues, and paintings by Bonethrower that seemed to come to life through changing, colorful lights and a funky DJ.

Bonethrower was at the event and gave away Adidas Skateboarding x Bonethrower shirts as well as signed posters and skate decks. I had a moment to speak with Bonethrower, who told me that he wants people to have fun when they see his art and to interpret his work in their own way. His art was super fun and psychedelic to be surrounded by for an entire night. One of my favorite pieces at the event was an alien-like throne that people could sit in and put on masks. It was so cool to see everyone interacting and hanging out on this art piece. Be sure to also check out the 200th issue of Juxtapoz magazine which features Bonethrowers’ art.

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How Evolving Technologies And Facebook Are Deploying Big Data

Each day, 2.5 million TB of data are generated. This huge quantity of data needs to be stored so that they can be easily accessed later. They are data measured in zettabytes, petabytes and exabytes, which are lesser known terms.

As companies gather rising amounts of data, requirements on infrastructure and technology have become larger. The following 3 Vs describes what Big Data is all about.

Volume

This feature represents the absolute amount of data produced by companies. It includes data from transaction information, social media created information, sensor and machine to machine data. Without technologies to accumulate such large amounts of data, storing it easily would be a problem.

Velocity

Latest technologies allow faster data processing through sensors, RFID tags and other technologies. However, structuring and storing them in real time is a big challenge.

Variety

Data come in a wide variety of formats. It can range from regular databases, unstructured video, audio and email to transaction data.

These three features of Big Data offer a challenge for the companies that need to store data in an integrated, structured, affordable and accessible way.

Facebook And Big Data

facebook

Social media assure the growth and development of innovation through mass collaboration. Across various industries, companies use social media platforms to promote products and services. They also use it to observe how people respond to brands.

See Also: 4 Good Reasons For Marketing With Facebook

One of the largest Big Data experts is Facebook. It  deals with petabytes of data on a regular basis. As the world connects through this platform, it generates algorithms to track those connections.

Whether it’s a wall post or your favorite movies and books, Facebook surveys each and every bit of your data. It does this to provide you superior services each time you log in.

Some Of The Contributors Behind Facebook’s Big Data

There is a variety of technology working behind this platform. Below are the most significant ones:

Hadoop

hadoop

Facebook manages the biggest Hadoop cluster. It has beyond 4,000 machines and stores millions of gigabytes. This large-scale cluster provides some crucial skills to developers.

The developers can openly write MapReduce programs in any language.
SQL has been combined to process large data sets, as the majority of data in the Hadoop’s file system are in table format. Because of this, it becomes easier for developers to access smaller SQL subsets.

Beginning with searching, recommendation system, log processing and data warehousing, Hadoop is enabling Facebook in any way possible. In fact, its first user-facing app, Facebook Messenger, is based on Hadoop database.

Scuba

Encountering a large amount of disorganized data each day, Facebook realized that it requires a platform to speed up its analysis. It developed Scuba to help the Hadoop developers plunge into the massive data set. It also allows them to carry on an ad-hoc analysis in real-time.

Facebook wasn’t meant to run across different data centers. A single malfunction could cause the whole platform to fail.

Scuba enables the developers to store in-memory data in bulk. It’s supposed to help speed up the informational analysis. It executes small software agents to collect data from data centers and compress them into log data pattern. The compressed data are further compressed by Scuba into smaller memory systems which can be promptly assessed.

Hive

hive

After the launch of Hadoop by Yahoo for its search engine, Facebook also decided to empower its data scientists. It needed help in storing huge amount of data in the Oracle data warehouse. Thus, Hive came into existence.

This tool enhanced the query capability of Hadoop by using a part of SQL. Eventually, it became popular in the unstructured world. Nearly thousands of jobs are running using this system today.

Prism

As Facebook doesn’t run on multiple data centers, it needed the help of Prism. It’s a platform that brings out several namespaces. It helps in developing many logical clusters, too.

Corona

It was getting difficult to manage the task trackers and cluster resources. As pull-based scheduling model was causing a delay in handling small jobs, MapReduce came to existence. Hadoop was restricted by its slot-based resource management model. It wasted the slot every time the cluster size was unable to fit the configuration.

Developing and executing Corona helped in establishing a new scheduling framework. It helped distinguish resource management from job coordination.

Today, Facebook has become one of the substantial corporations in the world. It’s all thanks to its considerable data on over 1.5 Billion people on earth. However, security and privacy concerns remain as it isn’t sure whether Facebook will just save its big data on its server or use them in order to make money.

But, one thing is for sure. It’s the Big Data that pushed Facebook, a small-time startup in Harvard, into becoming one of the large corporations of all times.

See Also: The Facebook Organic Growth Tactic that Everybody Forgets

The post How Evolving Technologies And Facebook Are Deploying Big Data appeared first on Dumb Little Man.

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Café charges men more to make a point about the gender wage gap

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Here’s a way to get people talking about the wage gap.

Handsome Her, a café in Melbourne, Australia, that describes itself as a “space for by women, for women,” has created quite the kerfuffle for its “house rules” blackboard it erected recently, highlighting the gender pay gap.

“Men will be charged an 18 per cent premium to reflect the gender pay gap, which is donated to a women’s service,” reads the second rule of the board. 

The other rules include women have priority seating, and that respect goes both ways. Read more…

More about Australia, Culture, Feminism, Wage Gap, and Culture

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Toronto's amazing science fiction library, the Merril Collection, has a new head librarian

It’s been decades since I first discovered my love of science fiction on a school trip to the “Spaced Out Library,” the public science fiction reference collection founded by Judith Merril — that day, I met both Merril (who went on to be a mentor to me) and Lorna Toolis, who has just stepped down as head of the library, which grew in stature and changed names, becoming the Merril Collection of Science Fiction.
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