Big Data in 10 Steps

1. Big means A in lots of data.
2. Before the name of Big Data was invented, the process of collecting and storing lots of data in a meaningful way, used to be called Data Warehousing. The concept is no different then storing lots of goodies in a warehouse. Data was usually stored in Relational or Dimensional databases running on powerful computers.
3. When you think Big, think really Big: Petabytes of information (million of gigabytes). And it will only get bigger. Think in the context of Internet of Things (IoT) and data collected and investigated from every connected device on the global network. Then if that was not enough, think of nano robots flowing through your blood stream and collecting data on every neurological event n your body.
4. Since Big Data means really, really lots of data coming from very different sources (cash registers, sensors, social networks, planes, rockets, oil refineries, hotels, manufacturing,, it is really, really long list to write...), ability to analyze and store data efficiently, has created a need for different storage and processing methods. All of these processes still require very powerful machines.

5. Parallel processing (when you have many machines processing a task in parallel...think of a kitchen where instead of one cook, there are multiple cooks chopping food at the same time) has proved to be very effective in analyzing and manipulating lots of data.
6. When you hear word Hadoop, don't start jumping on one leg.
7. Hadoop is simply a set of software artifacts, rules and methods, collectively called Framework, for storing and processing lots and lots of data in Parallel. Yes, Amazon runs one of the best Hadoop shops.
8. Hadoop is a powerful addition to other data analysis methods and procedures you enterprise might already be running. It is not a magic wand though.
9. Magic wands exist only in fairy tales. Big Data requires big expertise. Artificial Intelligence intelligent enough to understand zillion of permutations of data and make an intelligent conclusion without human intervention is not quite here yet...but don't blame us for not warning you about Rise of the Machines!
10. When you use this article in your Executive Deck, remember, validity of any data is always as good as the validity of processes used in collecting, storing and analyzing data.

Congratulations, you have just become a Subject Matter Expert...sort of