Calculating moving averages with Hadoop and Map-Reduce

shutterstock_314455913The calculation of moving averages can help with all sorts of “real world” problems outside of hardcore mathematics. Moving companies and businesses in all sorts of other industries can glean valuable insights with an accurate moving average in-hand. Also known as a rolling average or a sliding mean, moving averages smooth out variations in a pool of information to identify important patterns that clue business owners and other relevant parties into customer behavior, data trends and beyond. Below, we take a look at how moving averages are calculated with Hadoop and its Map-Reduce paradigm.

Hadoop for Processing Moving Averages

The top framework for processing data is known as Hadoop. Select Hadoop users claim that this framework even has the potential to process so-called “big data” on fairly basic computers such as everyday laptops. Hadoop is based on a Map-Reduce paradigm that can be implemented with what is known as “queue thread communication”. By running a specialized Java code in Hadoop, one can calculate a moving average in a selected window length or even identify exponential/weighted averages if desired.

As an example, let’s take a sequence of two thousand data points that are integers numbered between 0 and 130. The sliding mean with a sample window of eight points can be calculated by using the average of points one through nine and placing that average in location one of the data that has been “smoothed”. The average of points two through nine is calculated and placed in location two and so on until the entire “smoothed” array is completed. If a time shift is not desired, the central moving average will be computed with a smooth sequence beginning at location number five and ending at location 995.

Concept Code Shows Hadoop and Map-Reduce Work for big Data and Small Data

Moving averages are frequently used by mathematicians, business owners and statisticians to smooth out so-called “noisy” data. The code used for calculating moving averages is applicable to voluminous amounts of data as well as diminutive amounts.

Proof of concept code has been conducted to prove that Hadoop and Map-Reduce are applicable to everyone from small-sized moving companies looking to crunch data for a more thorough analysis all the way to monolithic multinational corporations that are on the prowl for a means of breaking down large amounts of data for analytical purposes.

To the surprise of many, an egregiously expensive and powerful computer is not necessary to run this code and perform these highly complex calculations. It doesn’t take a rocket scientist to understand and implement this technique. If data points arrive at different points in time, they can be transferred to map reduce programs with surprising ease.

What to Expect When Moving Across Country

shutterstock_111297203A cross-country move might seem daunting yet it is certainly feasible if you plan ahead, adjust your expectations and obtain help from professional movers. If you try to perform a DIY (do it yourself) move without assistance from experienced movers, you run the risk of turning into a nervous wreck. Ask for assistance from the moving experts and your cross-country move just might be executed without a hitch. Let’s take a look at a few tips that will help you make a seamless cross-country transition.

Consider the Logistics of the Move

If you are like most people, you own an abundance of furniture, electronics and valuables. Moving each and every item by yourself will likely prove to be an insurmountable challenge. Consider whether it makes sense to “start over” by selling your large items before the move. Most people find it is more financially prudent to hold onto their valuables and pay a moving service to transport them to the new location. After all, furniture and electronics are not cheap. Though re-buying each of these items would simplify the move, it would also likely bust your budget. Ally with a professional moving service and you won’t have to rent a massive truck and haul your heavy items in and out.

Declutter Your Living Space

Do not attempt to transport every single item you’ve acquired over the last couple of decades. Declutter your living space in the months and weeks ahead of your move. Create piles with labels like “sell”, “save” and “donate”. Give extended thought to whether an item is really worth keeping. If you haven’t used it in years and have no plans on using it after your move, sell it or donate it. This way, you won’t have to jam as many items into boxes and you’ll spend less on moving costs.

Box Quality Matters

Though high-quality boxes will cost money, they are certainly worth the expense. Invest in durable boxes that will safeguard your valuables and you won’t have to worry about the integrity of your possessions during the move. Perform some research to determine which boxes are the sturdiest. You might even be able to find some reliable boxes for free at schools, banks or manufacturing plants. Once the boxes are packed, label each with a list of its contents. Reinforce the list with laminate and/or tape. This way, the unpacking process will be quite easy once you arrive at your destination. If you decide to hire a moving service, take pictures of your valuables while packing to prove their pre-move existence and condition.

Organize all of Your Important Paperwork

We have all lost track of important paperwork in the past. It is imperative that you locate and organize such paperwork before moving. Collect documents like your birth certificate, passport, automobile registration and insurance policy. Put them in organized folders and keep them on your person during the move. This way, there is no chance that they will be damaged or lost during the moving process.