Big Picture of Big Data – Top 10 Big Data Trends in 2017 1

1. Big Picture of Big Data Trends of 2017

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 2017. Let’s see Big Data Trends of 2017 to understand the big picture of big data.

Gartner found in a survey that about 48% of companies invested in big data in 2016, and nearly three-quarters of those surveyed have already invested, or planned to invest in 2017.

Different sectors like marketing and pharmaceutical companies use data-driven decisions. Algorithms are influenced by information about shopping habits which is also used for engineering in both Formula 1 vehicles and 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 2017 by different Big Data experts. It will help you in knowing Big Data Trends in 2017. It will also help you in understanding top Big Data technologies for 2017 and Big Data salary in 2017 along with other Big Data 2017 trends. Looking to compare different Big Data technologies follow this comparison guide.

Big Data Trends

2. Proliferation of data

The most obvious big data prediction for 2017 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, and 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”

3. Increasing Streaming Analytics via Apache Flink and Spark Streaming

Analytics will experience a revolution in 2017. In 2017, 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”

4. 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 in 2017. Big data is invaluable to marketers and the IoT add further value to it. Along with better targeting and personalizing the marketing messages, business will also be able to create more useful products for their customers in 2017. That will help unleash the real potential of some of those new technologies like IoT, machine learning and AI“Chuck Pieper, CEO, Cambridge Semantics”

5. Hadoop at its Best

2016 was not a good year for Hadoop and specifically for Hadoop distribution vendors. But In 2017, 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”

6. Increasing Focus on Cloud-Based Data Analytics

As per Ashish Thusoo, CEO, Qubole, in 2017, enterprises are expected to move their big data projects to the cloud in droves. Moving data to the cloud intensifies adoption of the latest capabilities to turn data into action. It also enables cost cutting in on-going maintenance and operations. It is expected that there will be more data on the cloud in 2017 as compared to previous years. This enables enterprises to select the analytics tools like Spark or Flink – “SnapLogic”.

7. More demand for Big Data and Analytical Skills

More and more organizations will be adopting Hadoop and other big data stores which will rapidly introduce new, innovative Hadoop solutions. For this, Businesses will hire more big data analytics to provide a better service to their customers and keep their competitive edge. This will open up capabilities for coders and data scientists that will be mind-blowing. – “Jeff Catlin, CEO, Lexalytics”.

8. Hike in salaries for Big Data specialists and Data Scientists

According to the McKinsey Global Institute, data scientists demand is growing by as much as 12 percent a year and there could be a shortage of as many as 250,000 data scientists by 2024 in US economy.

As per prediction by Robert half, Data Scientist salaries are predicted to range from $116,000 to $163,500 in 2017 which is an increase of about 6.4% over 2016 salary levels. Similarly, Big Data Engineer salaries are predicted to range from $135,000 to $196,000 in 2017, increasing 5.8% over 2016 salary levels.

9. Improving Customer Experience

Everything from social media, health monitors and taxi apps collect data from the user, to better understand customers in order to improve top line revenue through cross-sell/upsell or reduce churn to remove the risk of lost revenue.

This will have a transformative impact on the ability of a data-centric business in identifying new revenue streams, saving costs and improving their customer intimacy. – “Scott Gnau, Chief Technology Officer, Hortonworks”.

10. Increasing monetization

Many experts have predicted that the creation of the huge volume of data and its use will result in its monetization. Michael Dell, chief executive of Dell, predicted that big data analytics is the next trillion-dollar market. IDC predicts that data monetization efforts will result in enterprises increasing the marketplace’s consumption of their own data by 100-fold – or even more.

11. Achieving Maximum Business Intelligence with Data Virtualization

Forrester expects that number of firms will look to drive value and revenue from their ‘exhaust fumes’. IDC predicts that by 2020, organizations that are able to analyze all available data to deliver actionable information will gain an extra $430 billion in productivity benefits over their less analytically oriented peers. Regardless, business intelligence will no longer be considered a department but an attitude. At least for those who plan to be in business by 2019. – “Anthony Dina, Director Data Analytics, Dell EMC”.

Ultimately, it looks like big data will be bigger and bigger in 2017 as compared to 2016. Patents for innovative products, huge growth in the amount of data generated, and increasing customer demand shows that data will be the driving force behind many business decisions in 2017.

Big Data, Big Opportunities, Big Impact, Big Decision, Big Scope, Big Career, Big Salary….!!!


Gartner, IDC.



Leave a comment

Your email address will not be published. Required fields are marked *

One thought on “Big Picture of Big Data – Top 10 Big Data Trends in 2017