Although we are already in the second quarter of 2020, we can still talk about the Big Data 2020 trends that will emerge or will have their moment of consolidation in the coming months.

State of Big Data today

Some of the great technologies are already with us. We already know many of them; they all sound familiar to us because they are on everyone’s lips. On the other hand, others are more emerging, such as network edge or cross-cloud computing technologies, augmented analytics, optimization in the cloud, and, especially, everything related to technologies based on blockchains or BlockChain. All of these are strongly connected and form part of the core of technologies that make up the present and future of Big Data.

Increased analytics

Big Bata is about analyzing data. As a result of this analysis, useful and practical knowledge is obtained that can be used for different purposes such as statistical data, medical studies, etc.

But what if we could take it a little further? Through machine learning and language processing algorithms, it is possible to offer the ability to understand and interact with data organically, as well as notice valuable or unusual trends. Also, machine learning algorithms, leveraged to work on Big Data analytics, can suggest ideas proactively.

In-memory computing

And speaking of saving space, spotting patterns within the data will also be trending this year. In-memory computing refers to data storage technology within RAM. Its main utility lies in allowing large data sets to work effectively at high speed and serves as an alternative, for example, to store data in relational databases.

This technology is consolidating this year, combined with machine learning techniques, to analyze data of varied size and complexity, with unprecedented speed.


Data Operations or DataOps refers to an automated, process-oriented methodology used to improve quality and reduce data analysis cycle time.

IoT, the Internet of things

  • Natural language processing and conversational analysis: By 2020, voice or natural language processing is expected to be used to generate up to 50% of analytical queries.
  • Combining IoT and Data Analysis: By connecting more IoT sensors to objects, an ever-increasing amount of data is generated, so there will be a high demand for data science specialists.


Blockchain technologies are not new, but in 2019 the combination of Big Data and Blockchain brought about a revolution in data security and scientific analysis. Its basic operating premise is to establish a distributed database in which data is stored and distributed through a large number of computer equipment acting as nodes and in which all individual inputs (called transactions) are visible to the rest so that it is very difficult to manipulate the information without the rest of “witnesses” showing the error in the treatment of the information.

This characteristic, the inviolability of the data, makes it key, and in 2020 it will continue to grow, given its multiple possibilities, such as the automotive, energy, health, etc. sectors.

The development of Smart Cities

Smart Cities, or also called smart cities, are the future. These are cities that seek to optimize sustainability through the interconnection of devices. Cities like London, Singapore, or New York seek to solve their urban planning problems through the use of data collection and processing technologies, thus improving their citizens’ quality of life.

Shazaming data

We all know Shazam, the famous music service where you can record the ambient sound and, after a few minutes, get all the information about the identified song. You may not know that data “Shazaming” will be one of the realities of 2020.

The algorithms will support analytical systems in identifying data patterns and anomalies and allow new data for further analysis. In a connected reality, digital devices will provide us with dynamic data beyond the world of data and display panels. As you can see, Shazaming offers enormous opportunities but also carries the danger of misuse.

Continuous intelligence (CI)

This is another of the novel trends that we can expect to grow in 2020. It is another way to improve companies’ decision-making processes by integrating real-time analysis with the way business activities are carried out in today’s company. This technology processes historical and current data equally to support the decision-making process or, in some cases, automate it.

What is particularly interesting, CI uses another technology mentioned in this article: augmented analysis. Continuous intelligence is a new technology, made possible by augmented analytics and the evolution of other Big Data and AI technologies. Possible applications are yet to come, but we can predict that CI can help:

  • Provide more effective customer service
  • Design special offers and discounts tailored to the needs and expectations of each client.
  • Optimize the corporate decision-making process

In conclusion, 2020 is presented as a year where important discoveries and advances will occur, so, if you have not already done so, we recommend starting to train on Big Data, artificial intelligence, machine learning, and business intelligence. Are you ready?