Big Data has become the latest buzzword since last year and the trends are always ever-evolving. But there’s no doubt that data will continue to shape our world with its intricacies. Let’s delve into the trends that will shape the landscape of big data.
- Dark data is known to be the troublesome class of data which isn’t carefully indexed or revealed. This year, we can finally expect the revelation of dark data which has become invisible to the potential users. The dark data is crucial for scientific progress because of its important properties, but this needs additional research and further development. To make it easier to understand, dark data is basically digital information which is not being used or accessed by people.
- Many organizations leave the data because they tend to think by the time it can be restored, the data may be too obsolete to use. But if used properly, it can be used to create new revenue sources, reduce wastage and costs as well. Many organizations are using Hadoop to identify this kind of data so that they can be mapped for possible usage. There will be a lot of focus on these huge volumes of historical data and how they can be recovered. This will also bring an increase in the upcoming trends that we cannot predict right away. Organizations are ensuring that their employees have the right skillset by opting for the data science certifications to work with such emerging trends.
- The agile approach like Data Lake will gain great prominence in 2018. The flood of data is becoming an endless flow which is quite hard to control. In these cases, Data Lake can help to store them in all formats and from all range of sources as well. This would be an absolute game changer as they are created to hold and process both the structured and unstructured data. Companies are constantly looking for cost-effective easy hardware and data lakes are perfect for that as they don’t need to be prepped for storage which is a big relief. The recent developments in big data engineer have improved the scope of analytics on a bigger level. Several data enthusiasts are expanding their knowledge and skills with the advanced data science certifications to master the solutions. The rapidly changing nature of data needs data lakes now more than ever to bring insights much faster.
- A new position called Chief Data Officer will emerge as the adoption of data becomes widespread amongst companies. But why do we need a chief data officer? As the flow of data is becoming massive, organizations are not able to manage it well. That’s why the chief data officer can play a critical role to help the company in managing the data as a corporate asset. The officer can help in creating digital ethics or the usage of the information assets. He or she is highly responsible for the company’s data, governance, policy development and strategy across the enterprise. The basic focus here is to create maximum business value with the available data and the chief data officer plays a huge role in it. The data enthusiasts who are truly interested in such an immersive role should pay attention to the top data science certifications in order to infuse the necessary knowledge in themselves.