The concept of quantum computing has been around for a long time, but has always been seen as something that we are going to see become a real possibility in some undefined future. However, 2016 may be when its use becomes more commonplace.
After recent work by Australian researchers at the University of NSW it has become possible to code the machines in a more cohesive and understandable way. They have managed to entangle a pair of qubits for the first time, allowing for more complex coding to be created and therefore the use of quantum computers to potentially become more widespread.
2016 will not see the use of quantum computing becoming common, but its presence within data will become far more pronounced and some of the more experimental and forward thinking tech giants may begin to use it more frequently.
Improved Security Scrutiny
Data in 2015 has been in the media spotlight, but not for the ways that many would want. Unfortunately, the data hacks have become more common than many would have predicted, from the Ashley Madison hack to the TalkTalk hack, it has shown up that companies could do more to protect their data.
2016 will therefore see an increased scrutiny on how data is dealt with and protected. This will also come at a time when many countries around at the world are looking at implementing new data protection and data access laws, meaning that the waters are going to become increasingly muddied.
Within this, companies will need to increase their security spending, improve database safety and prepare for seismic changes in the way that hackers work. It is going to be a difficult year for data security, but it will build the foundation on which future stable and robust data security is created.
Analytics To Be Simplified & Outsourced
We have seen the use of new data visualization and automation software breaking down the barriers between the data initiated and uninitiated. Through a continuation of this trend, we are going to see that conducting analysis on datasets become considerably simpler, we have already seen software that has a drag and drop analysis option available on tablets which is useable by almost anybody.
This comes not only from the needs of the untrained, but because we are still in the midst of a skills gap in the data scientist market, meaning that companies need to look at how they can leverage their data without necessarily having the skills in house to do so. Therefore we have these pieces of software that can do relatively simple analysis for companies, but for the more complex analysis needed we are likely to see this being outsourced to companies who have the expertise. This is likely to be a growth area in 2016 and we already have a number of companies leading the way in this regard.
Data In The Hands Of The Masses
Data is no longer just something being discussed in boardrooms and laboratories at the highest levels. Every day people get out of bed and look at the data collected on their sleep patterns, investigate what they are spending money on through apps or even just looking at the possession and running stats from their favourite sports teams. Data is now everywhere in our society, which means that the general population is becoming increasingly clued up on using it.
It is not to say that the general population are going to suddenly become data scientists, but it means that the kind of data shared can become more complex as the understanding of it across a population increases. When discussing important matters, informed discussions can be had with data rather than conjecture. There will still be many who throw themselves at things with blind faith and gut instinct, but 2016 will see a growing segment of the population who can engage with matters through data in a way that they never could before, both through increased access and understanding of it.
Hadoop for mission critical workloads
In 2016, Hadoop will be used to deliver more mission critical workloads — “beyond the ‘web scale’ companies,While companies like Yahoo!, Spotify and TrueCar all have built businesses which significantly leverage Hadoop, we will see Hadoop used by more traditional enterprises to extract valuable insights from the vast quantity of data under management and deliver net new mission critical analytic applications which simply weren’t possible without Hadoop.
Big data made easy
There is a market need to simplify big data technologies, and opportunities for this exist at all levels: technical, consumption, etc.Next year there will be significant progress towards simplification. It doesn't matter who you are - cluster operator, security administrator, data analyst - everyone wants Hadoop and related big data technologies to be straightforward. Things like a single integrated developer experience or a reduced number of settings or profiles will start to appear across the board.
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