2016 will be an exciting year for the development of seven major trends in Big Data

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1,Rise algorithm

      Big data is outdated, due algorithm Road. Data has become a commodity, every organization to collect and store large amounts of data. Analysis of big data is no longer so remarkable. Each organization may hire or train staff to understand big data analytics data patterns.

     2016, people pay more attention to what action has been taken against the contact data. Algorithm will become widespread. Algorithm can define behavior, they are very professional software, professional instruction can be executed very well, better than humans do. For example, when you visit a Web site, according to your data on hand to quickly identify the most appropriate ad. Or to find outliers in large amounts of transaction data to identify fraud.

    These algorithms are very professional AI, it has not existed for many years the general artificial intelligence can compare. However, the very professional AI already exists, in 2016 we will witness the rise of the algorithm commerce.

2. Data Lake Services as a solution

     2015, we have recognized a data lake. Enterprises from M2M connections, social networks and remote workers to accumulate more and more data, the lake will be their important data storage tool.

     According to Gartner, "By 2020, the information will be used to re-create, digital, or eliminate 80% of the business processes and products (as compared to 10 years ago - 2010) The." In traditional storage solutions, between the data is isolated from each other. Lake with data on the contrary, it allows the entire existence of the original, pristine information bytes mutual integration, analysis. Lake data can help you achieve business digitization, making it a genuine data-driven business, like Gartner 2020 business expected the same.

      Since the data lake brings considerable challenges, in 2016 we will see the future of data management of the lake: Lake Services as a data solution that provides a complete management solution for your data lake.

      Lake data service will provide active storage solutions, sorting through large amounts of structured and unstructured data, a large number of applications to be able to be used for processing, including enterprise data warehouse or open source technologies such as Apache Hadoop or Spark. Lake using a data services company, is one billion bytes per month need only pay a few cents.

      In 2016, we will see more and more of the big data vendors to provide a solution: give businesses a complete, easy-to-use, scalable solution that eliminates the need for self-built data trouble Lake. Lake has a huge advantage because the data in large-scale data storage and analysis, the data service solutions lake will be used in many organizations. Especially smaller organizations, such as the Internet start-up company in the field, from the lake data service plan to get all the benefits of Lake data, eliminating the need for all the trouble to create and maintain data lake.

3. The block chain will be accepted by all walks of life

     In the past few years, we have seen bitcoin block chain is mainly used, but the block chain technology offers more possibilities. In 2016, we will see a lot of the industry will adopt the block chain.

     A block chain can be regarded as a public ledger or record digital events. Under this public ledger shared by many different parties, compute nodes are geographically isolated and computing, and only members of the system are most consent, this record can be updated. As long as the new information into the ledger, it can not be erased, and visible to everyone. Because there are block chain, all information entered on the ledger are all transparent.

     A key advantage of the block chain is: The system is completely transparent to anyone without prejudice to personal privacy, the input to see which transactions ledger. You can not disclose the parties in the case of personal privacy, the fact that the recording events, and even record its correctness.

     While most people will block and chain link encryption with bitcoin, in fact, it has more possibilities. Especially in the financial industry will usher in the full flowering of the block chain technology. Many of the world big banks are experimenting with the chain block, the block being more or chain to invest in startups. UBS has created a chain block laboratory, Santander is studying how to use the block chain to manage their lending activities, Goldman Sachs invested in a block chain start-up company, and there is a large consortium (R3 's global bank partnership), responsible for investigating the potential of the block chain.

     However, in 2016 we will see multiple applications in different industries using chain blocks. Essentially any industry, there are digital transaction block chain technology will benefit from the financial industry, the legal profession, real estate, notaries, gambling, to publish data storage. The next year, more widespread use chain will block imminent.

4. Human Resource Analysis

     For most organizations, talent is the most important asset; most senior management staff, talent is the most important. According to PwC research, 34% of American CEOs "very concerned" about the availability of key skills in the organization. Thus, senior managers are looking for the exact data of their human resources, so that in 2016 we will see human resources analysis will have taken a big step.

     Human resources personnel department analysis, although new business areas, but in order to better improve the return on investment of human resources, the business grew very rapidly. HR analysis can be defined as a large data technology, optimize the use of human data fragments business output, solve business problems. Therefore, human resource analysis increasingly important.

    Human resource analysis can help answer questions such as: Do we have the right mix of skills within the organization? Our employees, especially how those good employees is work? We can better predict future business leaders who what? Mental health workers how … and so on.

    In an overheated market, intensified the battle for talent, excellent big data scientists and data analysts resources are increasingly scarce, more expensive, and therefore found that talent is not an easy thing. For an organization, understanding the drivers of the staff, and a good incentive they become increasingly important. Thus, in 2016, more organizations are committed to human resource analysis, the number of start-ups in these areas will be rapid growth.

5. Smart Government is committed to improving the social and civic experience

     For those large commercial organizations, big data has become a universal language. In adapting to new trends, the Government is slow, but in 2016, we will see more national, regional and local governments will use big data technology to improve social and civic experience.

    The government is trying to use big data technology to improve citizen experience management by government analysts, the introduction of data-driven decision-making to frontline staff management, thereby creating friction transactions, improve government performance. A government, or the wisdom of the government, will make an important contribution to achieve the objectives, in 2016, worldwide there will be more and more governments to develop intelligent government direction.

    We have already seen some examples. Dubai authorities are trying to put the government into intelligent government. They have begun to practice to improve customer (for example, citizens) experience, and promote practical knowledge economy. They have tens of smart government services to create a single, secure login interface, a large number of services also support mobile applications.

    The best example of smart government is Estonia. The only 130 million citizens of the Baltic states was nominated for the United Nations "Decade has the best e-government content." Every interaction with the interior or exterior of all of the data, the Government of Estonia for their own data with full control. In addition, Parliament is pursuing paperless office, electronic sign legal documents, fully electronic commerce, because all services are interconnected, so the tax is very simple.

     Although the government of Estonia is much in the forefront of peers, but the process is far from stopped. In the Netherlands, the national government's goal is, as of 2017, from the tax to get in touch with the government, to achieve full digitization work.

    Therefore, in the coming year, we will see more and more governments develop smart solutions worldwide. We will also see more government opened its own data set, the application of open API (application programming interface) to make start-up companies and enterprises easily enough with government departments docking. This will not only accelerate the process of government intelligence and may even gain more.

6. Enhanced large data security to prevent data leaks

     With the digitization process, the substance was of things for the network connection, security big data is becoming increasingly important. In the past few years, we have suffered a lot of large-scale data breaches, including Ashley Madison hack (extramarital affairs website) and TalkTalk (UK broadband service providers) hacker attacks.

     Basically, any organization's future are likely to be hacked, if not hacking, indicating that does not matter. Therefore, any organization should not only focus on preventing security breaches, in the event of hacker attacks, but also to implement the right crisis response plan.

     By 2016, we will see more data leak news organizations more silly trying to cover more of the kind of attack caused by things. The latter in particular, may have a profound impact on data security. After all, we've seen hackers remote control destroyed a jeep was traveling the highway.

     Thus, in 2016, we will see how to organize the management of their data to ensure data security, including the former hacker attack, attack, attack after various management measures. Organizations will increase security spending, in cooperation with the ethical hackers to improve data security, improve internal processes to make staff more vigilant hackers. After all, the company is usually security protocol servant weakest link.

7. Analysis of intelligent machines to bring the fog (Fog Analytics) start

    Fog computing is quickly get a lot of power. Fog computing refers advance and store data terminal equipment connected to the Internet of Things cloud between the storage, transmission and computing. As things progress, fog computing gained momentum because the sensor become quite sophisticated, they can now collect large amounts of data.

    Imagine that you have a network that connects various devices, they produce a lot of real-time data. Between your device and transfer data to the cloud become particularly expensive and take too long. Calculated using fog or mist analysis. Fog machine to perform intelligent analysis so that part of the analysis on the ground, only to send the results of the analysis to the cloud.

    According to Gartner, the intelligent machine is the new reality. Therefore, in the coming year, we will see more and more intelligent machines has more sophisticated sensors that can collect large amounts of data. Organization will have to turn to mist analysis, so that data is easy to manage and maintain insight available and minimize costs.

Exciting new year

     In terms of big data, 2016 will be an exciting year. Smart algorithm will take over many businesses are now done by humans. We will see the lake data services appear as a service solution to help companies work more with minimal use of data. More and more industries will begin to block the trial data link technology (blockchain technology) to change their profession.

     Organizations will shift human resources analysis, to better motivate employees, to compete for scarce talent. The Government will eventually see the benefits of big data, and to change the direction of intelligence, but the organization and the government will have to guard against hacker attacks, and take appropriate measures. Finally, intelligent machines will appear in all walks of life, age analyzed fog officially open.