Big data is not just a large or large collection of data. It is now more about business-driven information in the use analytics capabilities for long-term business benefits. The massive increase in data volumes, data varieties, and data flow for analytics shows that big data trends for 2018 will be significant.
2017 has seen a lot of big data analysis trends. Not to mention that almost all business domains use big data for market and business analysis. Big data trends for 2018 show a path towards convergence among other technologies with big information. In 2018, machine learning, artificial intelligence, IoT (Internet of Things), and cloud technology with big-data analytics will be more widely adopted to improve technological capabilities in enterprise solutions.
Are you looking to make a career in Big Data? Take a look at our Big Data Training Courses!
Let’s take a look at the top data trends for 2018!
Big Data Trends for 2018
The Hadoop ecosystem has advanced significantly in 2017 and is already showing its age. Spark was introduced in Hadoop ecosystem in 2017. Users are now moving away from Hadoop’s traditional HDFS to other data storage solutions such as in-memory data cache, multi-model, key value, object, and so on.
The 2018 big data trends are a rapid shift towards data-lake architectures. This is also a better choice for analytics work. Cloud architecture is becoming more popular in the big data market to store more data for analytics workloads. It is part of the 2018 Gartner big data trends analysis and depicts Edge computing in Cloud technology, which signifies a more robust Cloud service.
NoSQL will see more usage this year. It will be a viable solution for all types and types of data. It can handle structured, unstructured, or transactional data. 2018 will undoubtedly be the year of NoSQL adoption within Hadoop ecosystem.
Also, read: 16 Most In-demand Skills for IT Jobs in 2018
Impact of Big Data on IoT
IoT has already demonstrated the benefits of sensor-based data to customers and businesses. Companies are increasingly investing in sensor-based analysis. IoT is a way to gather data for analytics purposes, thanks to the increasing use of smart devices such as smartphones and smartwatches. The Internet of Things will continue to grow and will be a major player in big data analytics in 2018. Whether it’s healthcare or retail, IoT big data trends will play a key part in improving and reshaping the human experience.
Prescriptive Analysis: A wiser role
Prescriptive analytics allows businesses to provide the right solution in the right context and at the right time. Big data will play an important role in 2018’s facilitation of analytics, whether prescriptive or descriptive. Prescriptive analytics is a combination between analytics and mathematics that helps entrepreneurs make better decisions. It allows for optimal production levels and enhanced customer experience.
Cognitive computing with analytics will also take big data to the next stage. It will enable enterprises to make more informed decisions, synchronized with coordinated actions. Predictive analytics will make a significant impact in the big data world.
More Accurate and Faster Machine Learning
Machine learning is expanding at lightning speed. Machine learning development has seen a significant increase in speed due to automation. DevOps, which is a model factory paradigm, has been introduced. The paradigm shift will allow for faster processing and analysis of the large volume of complex data. It will also provide more accurate results.
A great deal of low-power, high-performance, and cost-effective AI chipsets will also be available. It will be a focus on edge-based inferencing. It will create a new generation machine learning compilers that will integrate with data science tools. It will make it easier to deploy the model and streamline the overall process like never before. Machine Learning will transform businesses by performing many tasks such as real-time ads, data analysis and fraud detection.
Dark Data Revelation
The change in business trends can be shown by historical data that has been stored on the computer for a long period of time. As part of predictive analytics, digitization and disclosure of historical data (or dark data) is becoming more important. For accurate prediction, dark data will play an important role in big data trends 2018.
Artificial Intelligence (AI), More Use
Big data trends for 2018 reflect a convergence in data-science development and an open development framework to AI. It includes a common abstraction layer that allows for modeling tools like TensorFlow and Simplify.
