Given the growing popularity and importance of Big Data and
its capabilities, the field of data science and analytics is dedicated to a
multitude of improvements and innovations over the next few years. Looking at
the recent changes and big data trends of the previous year, we look forward to
the recent 2019 big data forecast with hope and admiration.
With the vast collection of data on recent trends and monitoring their growth,
it is relatively easy to predict what next year will bring to the big data
domain. Here are a few of our big data predictions for 2019.
To achieve a faster delivery of application, the right tools
must be used in the DevOps environment. And there’s no single tool capable of
fitting all your needs like server provisioning, automated builds,
configuration management, code deployments and monitoring.
The difference between these two is quite fundamental and distinct. But most of the people, particularly the beginners of the subject are confused between the two.
Big data is nothing but a large set of data that cannot be processed by a traditional database system. The same data is also not processed by conventional computer processing units. Now that is what we call a problem. Hadoop, on the other hand, acts as the solution.
As far as the cloud computing market is concerned, AWS is the ultimate leader. So getting a well-paid job in this field would never be a problem. AWS holds around 31% share in the global cloud computing market and has also exhibited the minimum downtime since 2015.
DevOps is not just based on the use of tools. It also has its base on a number of important practices that can help in bridging the gap between development and operations in areas of integration and deployment.
The traditional administration job has faced a challenge in 2018 due to continuous growing demand of cloud computing. The need for skilled manpower is increasing day by day for cloud skills. The main demand is for implementation and migration in cloud for the existing and new project.