Big Data Trends you shouldn’t miss out

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We are going to step in the year 2018, and it’s time to conclude 2017. We know that world is depended more on the data and information.  2017 was an exciting year for Big Data and several other organizations.  Big Data Trends as technology has come up with a smarter implementation of deep learning and growing adoption of AI for data-driven organizations.  So let’s have a quick look at top Big Data trends.

Big Data analytics in the Cloud

Many companies are moving their data and applications to the cloud to increase their collaboration and flexibility. Some of them are Amazon, Big ML, IBM Watson, Microsoft Azure and Google API. Improve and accelerate the transition from data using the Cloud CL services.

New Enterprise Data Operating System- Hadoop

We have noticed that Big Data Technologies such as Hadoop and Spark are on steady growth. Hadoop works excellently to abstract the storage by using the in-memory computation. According to the survey, the cloud has higher percent usage compare to Hadoop Yarn and will continue its growth in 2018. So this approach will allow faster computation in case of Hadoop framework.

Big Data Lakes

It indicates the big data hubs which hold the value in all small or medium organization. A big data lake allows an enterprise to centralize all sorts of information and gain the competitive edge in the market. It’s essential way to transform business and invest in analytics platform with driving innovation.

Predictive Analytics

With using Big Data, you can handle a large number of records with the increase in predictability. We can combine big data and compute power to explore new data. You can also get real-time analysis and predictive modeling of Hadoop core.

SQL on Hadoop

Hadoop is far better and faster where the tools support SQL on Hadoop. You needn’t make an investment in high-end data scientists using the JavaScript & Python. There are many commercial alternatives available such as Pivotal Software, Cloudera, IBM and many more.

Better NoSQL

Open Source No SQL product comes with own specialization that offers faster and more direct way to analyze the network and maintain the relationship with the relational database. We know that No SQL key-value pair database with the particular purpose, high performance and light-weighted.

Immediate gratifying

The executive and line manager will see analytics and then immediately will give the actionable data. No need to wait for batch analytics to get faster results, merely focus on big data and analytics activities to get real-time data .

The bottom line is 2018 is going to be the fascinating year for discoveries and improvements in the field of Big Data and artificial intelligence.

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