Although the Big Data market has gone up in recent years, its biggest growth is yet to come. The market size is expected to account for $33.5 billion by the end of 2017, and this number is predicted to almost triple within ten years.
This upsurge goes hand in hand with the expansion in the number of companies that have adopted the concept in their business operations, but also with essential modifications in its nature. We have studied recent domain-related tendencies and compiled a list of major Big Data trends in 2017.
Big Data Exponential Development
Although it seems that the hype around Big Data was overcome in 2016, this topic is becoming even more popular nowadays. Indeed, more and more companies take advantage of it, while the notion is not limited to Hadoop anymore.
1 The Proliferation
One of the most important trends in Big Data is that an increasing number of companies turn to the processing of terabytes of dark data and converting it into usable information. After being carefully collected and processed, it allows retrieving millions of valuable insights that help companies examine their product cycles and business-related tendencies.
Having your own analysis of big volumes of information provides valuable insights into customer behavior patterns, preferences and expectations. Their application in the development of sales and marketing strategies encourages the improvement of customer experience, which contributes to increased cross-selling and upselling. This unavoidably places Big Data-related solutions in the core of corporate IT networks.
2 More Than Hadoop
Hadoop provides companies with outstanding capabilities for information processing, which is why multiple solutions frequently enter the market to enhance its capacity and extend the functionality.
For all that, Big Data is not limited to Hadoop anymore: vendors release numerous solutions that process huge volumes of raw information and turn it into usable material. Unlike Hadoop, these platforms integrate access points and eliminate the need to apply siloed sources. In such conditions, source- and information-agnostic platforms will eradicate Hadoop-focused ones.
Big Data Breakthrough
Along with Big Data advancement and penetration into multiple verticals and domains, this notion is also undergoing changes in its nature in 2017.
3 Movement to the Cloud
Businesses all over the world are going cloud-based, which has also affected Big Data analytics trends. Similar to traditional processing systems, companies also move the analytics of large volumes of information to the cloud.
By leveraging the best of the capabilities that the cloud provides to businesses, companies gain the following benefits:
- The reduction of costs on data center building and maintenance
- Corporate information is more easily accessible from around the world
- The support of cloud-based processing platforms is much easier than that of in-house ones.
4 Confluence with the Internet of Things (IoT)
Internet-connected devices generate large volumes of information that require proper preparation and analytics. The convergence of Big Data and IoT improves information management by better processing of raw information and transforms the way people work.
As an example, self-driving cars, drones and robots are penetrating the way humans live, entertain and work, starting from taking personal photos to being used in various industries. They produce terabytes of statistics that require further processing, and vendors provide solutions that aggregate them and draw insights.
Also, a close integration of technologies that are related to Big Data and smart devices will contribute significantly to protection against security threats.
5 Confluence with Deep Learning
Deep learning has laid the basis for a wide adoption of algorithms that now can make translations, detect criminals and more. They are even expected to perform much more complicated operations in the future. A close cohesion between Big Data and deep learning is moving towards an artificial general intelligence that will empower more advanced information management, such as Siri that can drive a car.
However, humans are not involved in these algorithms, as the latter determine on their own the way to handle information by recognizing objects and events, interrelating them and identifying trends. These sophisticated algorithms can now perform the operations that demand significant human effort and time, holding the same and even better quality level.
6 Data Visualization
Augmented Reality and Virtual Reality contribute significantly to better information perception. Multiple businesses rely on them to improve the in-house decision-making process and enhance their employees’ performance. A proper management of Big Data is the cornerstone of Mixed reality, as only correct information gathering and processing can provide its appropriate visualization.
For example, if companies use Mixed Reality for the purposes of manufacturing, proper processing of large amounts of statistical data contributes to the production of goods of better quality or to more time- and resource-effective business processes.
7 Increased Anxiety About Security
Although modern technologies related to Big Data contribute to improved control, integration and processing of large volumes of information, they raise a red flag. Indeed, no one can ensure the complete control of all pieces of information that exist around the globe.
Despite the fact that IoT is quite a new notion, we have already faced a massive IoT-related DDoS attack in 2016. It disrupted the Internet on the East Coast of the United States. To this day, experts consider this attack to be the most destructive one of its kind. It was the lack of control and security on Internet-connected devices that made the attack possible. This only proves out that Big Data is exposed to security threats, as it goes hand in hand with the Internet of Things.
Business Value vs. Compromised Security
The rapid evolution of the information technology cannot but have an impact on the latest trends in Big Data. Indeed, the notion absorbs IT tendencies and merges some of them, such as IoT, AI and others. Also, an increasing number of companies tend to rely on Big Data as it facilitates decision-making and adds value to the business.
However, when trying to make the most of its advantages, companies must indubitably prioritize the information security. Neglecting security issues may result in serious cyber-attacks.