Where is Big Data headed in 2016? To begin with, predicting what’s going to be in the future has never been an easy task. We don’t know for sure if the machines will ultimately become smarter than man or we will be able to buy self-driving cars. Not yet. We are in the middle of the year 2016 and know for sure that the power of Big Data will dominate our discussion forums for a long time to come.
The Cloud is everywhere! Well, the wave of innovation is far from over, and if this is anything to go by, then Big Data will be Bigger, Faster, and more Cloudier than any other time in recent memory. That’s a positive sign if you ask me, but let’s delved a bit deeper into this burning subject to know what will be trending in the next few months as far as big data is concerned. Once a year, we try to take stock of the top trends in the world of big data that is changing the world of business as we know it. Here’s a rundown of important big data trends we believe will make a big splash in the coming months.
Trend #1: Quantum Approach to Big Data
The Quantum computing concept has been around for quite some time. There is a real possibility that it will come into full force in 2016. But we will have to wait and see if the use of quantum computing becomes more commonplace and widespread. There’s a possibility of coding the machines more understandably. If forward-thinking tech giants are believed, then a quantum approach to handling massive datasets could solve complex problems. From gene mapping to space exploration, every dataset is solvable with the new quantum-based approach. Quantum computers are going to be more powerful than today’s computers. Quantum computing is said to be the biggest technological breakthrough since the invention of the microprocessor. ‘Bits’ may become passé, welcome quantum ‘qubits’!
Trend #2: The NoSQL Conquest
Especially in the last few months, there has been significant adoption of NoSQL (Not Only SQL) technologies. A NoSQL technology is modeled with “big data” needs in mind and has many proponents. The benefits of shifting to NoSQL databases are becoming more pronounced. SQL is set to become the dominant query language in the enterprise IT landscape, even for NoSQL databases. As the SQL ecosystem matures, we will see a gradual shift towards the benefits of schema-less databases. Companies dealing with massive amounts of structured and unstructured data will move away from traditional SQL database approaches and lean heavily on NoSQL databases. SQL databases can only handle structured data, but what about unstructured data? NoSQL can deal with that. Alteryx, Trifacta and Informatica Rev are some of the NoSQL tools on the rise and are making a mark in the industry.
Trend #3: Hadoop Adds To Enterprise Standards
Hadoop, open-source technology and created in 2006, has already become a big part of the enterprise IT landscape, driven mainly by the demand for big data analytics. It remains to be seen whether Hadoop will completely take over the current database architecture or not. Still, it is fast gaining traction in many companies for its indispensable advantages. End-users want faster data exploration techniques, and with Hadoop, you can have it. Many businesses around the world are embracing Hadoop. Using this will not have to worry about dumping all their enterprise data into the Hadoop repository. Without it, extracting valuable insights whenever they want from the vast data pools is simply not possible. Lines are already blurring between big data analytics and traditional concepts.
READ MORE :
- Are You Booking an Irish Golf Tour for 2015/2016?
- Jottings of the week: Subash Velingkar sacked, trade unions on strike, and more
- Data watchdog fines Sony £250,000 over PlayStation ID hack
- Good News for Gold
- Ramadan 2016 – Complete the Fasting Until the Sunset
Trend #4: Start Fishing In the Big Data Lakes
In 2016, Data Lakes was going to be a big thing. Though it is of recent origin and in the early stages of development, the concept of the big data lake is becoming a familiar term as far as big data processing and cloud analytics are concerned. For many companies, Data-Lake-as-a-Service is fast emerging as a solution to manage and secure all data. The basic premise of this concept is how to manage, store and use the massive amounts of incoming data from various mediums. Google and Facebook, which are at the forefront of cutting-edge technologies, are considered early adopters of big data lakes.
Trend #5: Increased Data Security and Breaches
Everything is going digital or is set to go digital, and in this context, data security is still a major concern. Data breaches have been in the news, and perhaps due to the growth of connected Internet of Things and fast networks, there’ll be more attacks from hackers. Hackers can even kill a Jeep driving on a highway. Data security should never be overlooked. But the thing is that there have been many data breaches in the past, and there will be many more in the future too. So what’s the difference? The difference lies in implementing the right crisis plan in the event of an attack and how to prevent one. Basically, organizations should focus more on handling data security before, during, and after a hack.
It’s fascinating to see how big data, connected cars, driverless cars, cloud computing, and even emotionally aware robots change our lives. While we still go by our blind faith and believe in our gut instincts, but it’ll be interesting to see that how these trends are going to play out and change the way we live. Prime Technology Group, LLC is a global technology services company with innovation at the core of our business engagements. We develop cutting-edge solutions and carefully select the best Information Technology professionals, making them ambassadors for your business. This approach maximizes our ability to leverage our award-winning teams and put their competencies to work for you. Prime is the conduit that bridges the immediate business solutions of today to the technology advances of tomorrow. for more information, visit us.