Top Trends for Big Data and Data Analytics in 2020 and Beyond, Why to Consider?

Discussion Forum Trends Top Trends for Big Data and Data Analytics in 2020 and Beyond, Why to Consider?
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Cerdonis Technologies LLC

Data has become the new fuel for most industries, and future innovations are mostly propagated from the data analytics and data-centric algorithms and technologies. Big Data plays a significant role in all data-centric innovations. All experts agree on the prediction that the dependence on data technologies will continue to increase in the coming years.

Though Big Data analytics is already there as the most promising technology field to push data-driven innovations, in the span of the past few years it underwent several massive changes thanks to a host of emerging technologies such as artificial intelligence (AI), Machine Learning (ML), In-memory computing and several others. Now software/web and mobile app developers in Chicago and across the world in every niche have no choice but to remain updated with these new trends.

Let us unveil and explain the top Big Data trends to dominate 2020 and beyond.

The Push of Machine Learning for Data Analytics

For data science tasks, the incorporation of Machine Learning technology has a profound significance. The infusion of Machine Learning is expected to bring the power of automation to data analytics. By 2020 we can expect a considerable portion of the data science tasks to be automated with Machine Learning and AI-driven tools.

Apart from providing the ease and sophistication for the system, Machine Learning based automation coupled up with smart data analytics tools will be able to unveil insights that even expert data scientists can find it hard to extract.

The merger of IoT with Data Analytics

IoT devices are already in rage to give all faces of life the benefits of connected reality. Thanks to the proliferation and increasing use of IoT devices in our day to day life, the data analytics tools are also increasingly getting sophisticated and more productive with new types of data-laden with different customer insights. By 2020 it is expected that several billion IoT devices and gadgets will deliver more user data for data analysis.

So, IoT is expected to play a more significant role when it comes to supplying insight-rich data to data analytics tools. In all large organizations where already IoT devices play a significant role in operation and processes, leaders and strategists are looking forward to the untapped potential of utilizing the assistive data analytics tools to utilize the IoT data in the process.

Read the Full Article here: Top Trends for Big Data and Data Analytics in 2020 and Beyond

Dev Technosys

These trends can help data and analytics leaders navigate their COVID-19 response and recovery and prepare for a post-pandemic reset.

In response to the COVID-19 emergency, over 500 clinical trials of potential COVID-19 treatments and interventions began worldwide. The trials use a living database that compiles and curates data from trial registries and other sources. This helps medical and public health experts predict disease spread, find new treatments, and plan for clinical management of the pandemic.

Data and analytics combined with artificial intelligence (AI) technologies will be paramount in the effort to predict, prepare and respond in a proactive and accelerated manner to a global crisis and its aftermath.

Now software/web and mobile app development company in USA and across the world in every niche have no choice but to remain updated with these new trends.

“To innovate their way beyond the post-COVID-19 world, data and analytics leaders require an ever-increasing velocity and scale of analysis in terms of processing and access to succeed in the face of unprecedented market shifts,” says Rita Sallam, Distinguished VP Analyst, Gartner.

Here are the top 10 technology trends that data and analytics leaders should focus on as they look to make essential investments to prepare for a reset.

  1. Smarter, faster, more responsible AI
  2. The decline of the dashboard
  3. Decision intelligence
  4. X analytics
  5. Augmented data management
  6. Cloud is a given
  7. Data and analytics worlds collide
  8. Data marketplaces and exchanges
  9. Blockchain in data and analytics
  10. Relationships form the foundation of data and analytics value

Big data and data analytics has brought significant transformation to traditional analysis today. They are the future. It is crucial for any mobile app development company in USA or other countries.

Combined with modern technologies, they will give answers to various global crises, including the pandemic. It helps medical experts to predict the disease spread and discover new treatments.

Here are the technology trends for big data and data analytics that will dominate the future. They are as follows:

Data as a Service (DaaS)

DaaS, a cloud-based technology, enables the customers to access digital files with the internet’s help. According to a recent report, up to 90% of large companies will generate revenue from DaaS in 2020. 

Besides, it will also help large organizations to use potential data through extreme collaboration and sharing. 

Cloud-based Data Analytics

With the use of cloud technology in the corporate world, you can benefit from real-time data analysis. It will give you a better understanding of the stored data. It will play a vital role in Big Data, Analytics, and even ML. 

The Merger of IoT

IoT devices have created a rage around the world. Looking at the current growth in IoT technology, we will have more than 38 billion devices connected by 2020. It will help you to fetch data for analysis, increasing the scope and value of data analytics.

 All businesses will rely on IoT devices to perform daily operations using Big data analytics. It will not only provide relevant data but also offer transparency. 

Data Security and Privacy

Despite some new technologies, data manipulation happens. It leads to data security and privacy concerns. So, all the organizations will prioritize data backups and their validation in 2020. You can expect 30% of large enterprises to use backups and snapshots for safety, privacy, and data reliability. 

The Push of Machine Learning

Machine Learning (ML) will play a vital role in data science tasks. It will bring the power of automation to data analytics and automate 40% of all data science-related functions by 2020. It can fetch the insights that even the skilled data analysts can’t manually.

Plus, it will make the process faster and more accurate. It will boost the overall efficiency, productivity, and reaction time for particular events.

Smarter AI

By 2024, 75% of enterprises will shift from piloting to operationalizing AI. It will increase the data streaming and analytics by 5x. Even in the pandemic, AI techniques like ML, Optimization, and NLP give vital insights and predictions about the virus spread.

Techniques like Reinforcement Learning and Distributed Learning are creating more adaptable and flexible systems for businesses. A smarter AI will help in better decision-making and enhance human-machine trust. 

Blockchain Technology

It will provide full lineage of assets and transactions, plus transparency for complex networks of participants. The DBMSs will give a more attractive option for single-enterprise auditing of data sources.

As per the current research, ledger DBMS products will replace the most permissioned blockchain uses by 2021.

Why Consider

Here’s why you must consider the above trends-

  • Machine learning is the future of big data
  • Privacy – the most significant challenge
  • Chief Data Officer: emerge of a new position
  • The increasing demands of data scientists
  • Businesses will buy algorithms instead of software
  • Increasing investments in big data technologies
  • More developers joining the big data revolution
  • Prescriptive analytics will become a vital part of BI software
  • Big data will help you break productivity records



Hence, data will center for business planning, strategies, new protocols, and technologies in the future. The advanced data-centric tools, security, and the latest database technologies will make data analytics “smarter.” 

Are you looking to develop a mobile app? Big data and analytics play a crucial role in its development. You can refer to any mobile app development company in the USA for expert guidance.

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