These days everyone is running behind big data. Professionals from various locations are adoring 21st-century data science. Big Data has been a contradictory word in the IT industry for some time, but this will change in 2019. Let us see the Big Data Trends of 2019, understand the big picture of big data.
About 48% of companies invested in big data in 2016, according to a survey done by Gartner. Almost three-quarters of those surveyed have already invested or planned to invest in 2019.
Top 10 Big Data Predictions
Nowadays, different sectors like marketing and pharmaceutical companies use data-driven decisions. Most of the algorithms influence by information about shopping habits, which we use for engineering in both formula1 vehicles & asthma drugs.
Did Big Data reached its peak or is there more potential to explore? Below are the top 10 Big Data predictions for 2019 by different Big Data specialists. This will also help you in understanding top Big Data technologies and salary along with other Big Data 2019 trends.
Latest Big Data Trends
- Rapid reproduction of data.
- A drastic increase in Streaming Analytics via Apache Flink and Spark Streaming.
- Increase in Data Analytics.
- Hadoop at its Best.
- Increase in Focus on Cloud-Based Data Analytics.
- Huge Demand for Big data and Analytical Skills.
- Raise in Salaries for Big Data Specialists and Data Scientists.
- Enhancing Customer Experience.
- Intensifying Monetization.
- Attaining Maximum Business Intelligence with Data Virtualization.
i. Rapid Reproduction of data
The most pronounced big data prediction for 2019 is that there will be more data that will be analyzed to gain valuable insight. ‘All companies are in the data business now‘, according to the declaration made by Forrester.
The surge in several individuals mostly using the internet shows that there is more opportunity than ever before to create and collect data. By the year 2020, this data that is worth analyzing is predicted to double. By giving authorization to 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. Increase in Streaming Analytics via Apache Flink and Spark Streaming
Analytics will encounter a revolution in 2019. In the year 2019, streaming analytics is anticipated 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.
For 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.
iii. Increase in Data Analytics
The amount of devices that are interconnected is projected to hit 34 billion in 2020. Most of the businesses will start exploring and exploiting their benefits to fulfill various business objectives. Big data is invaluable to marketers and the IoT adds further value to it. Alongside better targeting & personalizing the marketing messages, the business will be able to create more useful products for their customers. This will help to unleash the real potential of some of those new technologies like IoT, machine learning, and AI – According to Chuck Pieper, CEO, Cambridge Semantics”.
iv. Hadoop at its Best
The year 2016 is a bad year for Hadoop and specifically for Hadoop distribution vendors. But in 2019, there is going to be increased adoption of Hadoop. Other databases will not be replaced by Hadoop, but it will be an essential part of data ingestion in the IoT / digital world. – “According to George Corugedo, CTO, RedPoint Global”.
v. Increase in Focus on Cloud-Based Data Analytics
According to Ashish Thusoo, CEO, Qubole, in 2018, enterprises are expected to move their big data projects to the cloud in packs. Moving data into the cloud intensifies the adoption of the latest capabilities to turn data into action. Moving data into the cloud enables cost-cutting in on-going maintenance and operations. We can predict that there will be more data on the cloud. This enables enterprises to select analytics tools like Spark or Flink – “SnapLogic”.
vi. Huge Demand for Big Data and Analytical Skills
Most of the organizations will be adopting Hadoop and other big data stores which will rapidly introduce new, innovative Hadoop solutions. Due to this, Businesses will hire more big data analytics to provide a better service to their customers and keep their competitive edge. Because of this IT industry will open up capabilities for coders and data scientists that will be mind-blowing. – “According to Jeff Catlin, CEO, Lexalytics”.
vii. Raise in Salaries for Big Data Specialists and Data Scientists
The demand for data scientists 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 the US economy.
According to the prediction by Robert half, Data Scientist salaries are predicted to range from $116,000 to $163,500 in 2018. This 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, increasing 5.8% over 2016 salary levels.
viii. Enhancing Customer Experience
All from social media, health monitors and taxi apps collect data from the user, to better understand customers, to improve top-line revenue through cross-sell/upsell or reduce churn to remove the risk of lost revenue.
This will surely have a transformative impact on the ability of a data-centric business in identifying new revenue streams, saving costs, and improving customer intimacy. – ” According to Chief Technology Officer, Hortonworks”.
ix. Intensifying Monetization
Most of the experts have predicted that the creation of the huge volume of data & its use will result in its monetization. Michael Dell expected that big data analytics is the next trillion-dollar market. IDC forecasts that data monetization efforts will result in enterprises increasing the marketplace’s consumption of their data by 100-fold – or even more.
x. Attaining Maximum Business Intelligence With Data Virtualization
Forrester expects that the number of firms will look to drive value and revenue from their ‘exhaust fumes’. IDC forecasts that by 2020, organizations can analyze all available data to deliver actionable information. This data information will gain an extra $430 billion in productivity benefits over their less analytically oriented peers.
Nevertheless, business intelligence will no longer be considered a department but an attitude. At least for those who plan to be in business by 2019.
Summary for Big Data Trends
Eventually, it looks like big data will be bigger and bigger in 2019 as compared to 2016. That is why, patents for innovative products, huge growth in the generated data, & increasing customer demand shows that data will be the driving force behind many business decisions in 2019.
Big Data, Big Impact, Big Opportunities, Big Scope, Big Decision, Big Career, Big Salary….!!!
Hence, this was all in top Big Data predictions.