Big Data Trends in 2019
2019 will be the year of big data trends. Some instruments and tendencies will become more popular in 2019 leading to the constant appearance of new concepts and technologies of Big Data and old technologies will be forgotten. The huge increase of the Internet of Things gives some resources for Big Data. These new technologies will change everything around them.
Anil Kaul, CEO and Co-Founder of Absolutdata stated: “We started an email campaign, which I think everybody uses Analytics for, but because we used AI, we created a 51 percent increase in sales. While Analytics can figure out who you should target, AI recommends and generates what campaigns should be run.”
Today Big Data has become popular, and it’s obvious to use it with the technology of Artificial Intelligence. Numbers of platforms with AI will lead this decade to the greatest successes. AI platforms provide effective connections between people. These platforms help not only save a bunch of money but they also provide data management making best practices available to Data Scientists and staff.
Hybrid Clouds Become Popular
You should see the increasing of using hybrid clouds in 2019. While an organization may want to keep some data secure in its own data storage, the tools and benefits of a hybrid system make it worth the expense. Hybrid clouds connect private clouds of retail organizations with the public one. A public cloud, for example, can be used for adds, and in another way for projects with low security, but hybrid clouds can be used for more sensitive projects as financial reports. It’s obvious they have become popular, and it’s the second Big Data trend.
The Data Curator
2019 will be the year of discovering and the Data Curator will be the next and the most popular in usage. The main purposes of the DC will be Data Protection, Data Governance, and Data Quality. Data Curators are usually represented as a dashboard, chart or a slideshow. The DC is often connected with the discoverers and schedules workshop seminars.
Tomer Shiran, co-founder and CEO of Dremio, said:
“The Data Curator is responsible for understanding the types of analysis that need to be performed by different groups across the organization, what datasets are well suited for this work, and the steps involved in taking the data from its raw state to the shape and form needed for the job a data consumer will perform. The data curator uses systems such as self-service data platforms to accelerate the end-to-end process of providing data consumers access to essential datasets without making endless copies of data.”
The Emergence of 5G in 2019
The world is ready for the introduction of the 5G system. Involving 5G in progress, there’s a risk of some new problems appearing, and it is connected not only with money. Some costs cannot stop the introduction of the 5G system, but what can? Some organizations have stopped the process of installation of 5G infrastructure, no matter whether the U.S. Federal Government is against it or not.
Another 5G blocking factor is the decision of the United States FCC which has eliminated regulations supporting net neutrality. The concept of net neutrality consists of treating all data and people without discrimination and without charging different users different rates based on things as speed, content, websites, platforms, or applications.
Streaming the IoT for Machine Learning
As a rule, Machine Learning provides stored information for learning in a controlled learning environment. This new model consists of providing useful information through the Internet about different things, and it’s a concept of Machine Learning in real time but in a less controlled environment. The main purpose is to give adequate, flexible answers to situations special focus which is communicating with people.
In conclusion, 2019 will be a year of new discoveries. Many businesses, particularly those online, consider Big Data a mainstream practice. These businesses are constantly researching new tools and models to improve their Big Data Utilization. New technologies change not only how Business Intelligence is gathered, but also how business is done.