Top 10 Big Data Trends for 2019

Everyone is running behind big data these days. Professionals from varied spheres are adoring 21st-century data science. Big Data has been an ambivalent word in the IT industry for some time, but this will change in 2019. Let’s see Big Data Trends of 2019 to understand the big picture of big data.

Gartner found in a survey that about 48% of companies invested in big data in 2016. Nearly three-quarters of those surveyed have already invested or planned to invest in 2019.

Today, different sectors like marketing and pharmaceutical companies use data-driven decisions. Algorithms influence by information about shopping habits, which we use for engineering in both formula 1 vehicles & asthma drugs.

But has Big Data reached its peak or is there more potential to explore? Here are the top 10 Big Data predictions for 2019 by different Big Data experts. It will help you in knowing Big Data Trends in 2019. It will also help you in understanding top Big Data technologies and salary along with other Big Data 2019 trends.

1. Latest Big Data Trends for 2019

• A proliferation of data
• Increasing Streaming Analytics via Apache Flink and Spark Streaming
• Increasing Data Analytics
• Hadoop at its Best
• Increasing Focus on Cloud-Based Data Analytics
• More Demand for Big data and Analytical Skills
• Hike in Salaries for Big Data Specialists and Data Scientists
• Improving Customer Experience
• Increasing Monetization
• Achieving Maximum Business Intelligence with Data Virtualization

i. Proliferation of data

The most obvious big data prediction for 2019 is that there will be more of data that will be analyzed to gain valuable insight. Forrester declares that ‘all companies are in the data business now’.

The increasing number of individuals mostly using internet shows that there is more opportunity than ever before to create and collect data. By 2020, this data that is worth analyzing is predicted to double. By empowering the organization to make data-driven decisions at a high speed, IT will soon become the data hero who helps in shaping the future of the business. – “Francois Ajenstat, Chief Product Officer at Tableau”

ii. Increasing Streaming Analytics via Apache Flink and Spark Streaming

Analytics will experience a revolution in 2019. In 2019, streaming analytics is predicted to become a default enterprise capability, and there will be widespread enterprise adoption and implementation of this technology to help companies gain a competitive advantage from their data.

In terms of the technologies to achieve this, there will be an acceleration in the usage of open sources streaming engines, such as Spark Streaming and Apache Flink, in tight integration with Hadoop Data Lake which will provide easier approaches in leveraging open source in the enterprise. – “Anand Venugopal, Head of Product, StreamAnalytix, Impetus Technologies”

iii. Increasing Data Analytics

Interconnected devices are projected to hit 34 billion in 2020. More businesses will start exploring and exploiting their benefits to fulfill various business objectives. Big data is invaluable to marketers and the IoT add further value to it. Along with better targeting & personalizing the marketing messages, business will be able to create more useful products for their customers. That will help unleash the real potential of some of those new technologies like IoT, machine learning and AI – “Chuck Pieper, CEO, Cambridge Semantics”

iv. Hadoop at its Best

2016 was not a good year for Hadoop and specifically for Hadoop distribution vendors. But in 2019, there is going to be an increased adoption of Hadoop. Hadoop will not replace other databases but it will be an essential part of data ingestion in the IoT / digital world. – “George Corugedo, CTO, RedPoint Global”

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