Big data trends that will stand out in the second half of 2022

Big data, visual analytics, small data, and data analytics have become fundamental tools in our daily lives. Over the past year, the profile of experts with professional master’s degrees in visual analytics and big data has positioned itself as an important key in several companies aiming to create a positive impact.

Complementary to the above, Big Data and Analytics are a fundamental key to the economy and society and for this reason, it is constantly updated. Remembering Clive Hamby’s words “data is the new oil” is a starting point for analyzing the importance of capture, storage, and processing which means companies focused on the value of data will gain recognition for data. driven company.

That said, it leaves room for the most well-known trends in big data and analytics in the second half of 2022 and beyond.
Business growth strategy

One of the trends in Big Data is Augmented Analytics, which uses artificial intelligence and machine learning to discover a new way to improve analytics and share the information obtained. This tool hopes to democratize data science.

Artificial intelligence to drive business decision-making will see the emergence of digital technologies, low-cost data storage, high-performance hardware, and embedded software by various companies to create new business models, interact with clients, and even interact with people. of the same organization.
Also, data as a service will take place through cloud systems to give users on-demand access to information wherever they are located. It provides fast memory that can support heavy workloads to deliver advanced analytics to enterprises.

To close this first item, it is necessary to highlight the data lakehouse: it is a data warehouse with a data lake as data storage. Data architecture is converging on platforms that favor synergy between business intelligence and big data, bringing out the best of both worlds.

It’s a new paradigm that radically simplifies enterprise data infrastructure and accelerates innovation in an era where machine learning is poised to revolutionize every industry.

Big data and climate change

In this regard, it is believed that the use of big data will be helpful to complement the research of investigators on current carbon dioxide emissions, data meteorology, earth and ocean science, and even nuclear research facilities to understand climate change. Other environmental conditions related to the planet and necessary steps are to be taken out.

Metaverse and data

The best of Meta, formerly known as Facebook, is to create a metaverse as a digital space for human interaction, creating a new world of analytics opportunities in the metaverse and behavior as geospatial information that will be examined through big data and represented visually. will be done Because of its potential for analysis, it can be the greatest source of data.

Active Intelligence

One of the biggest challenges for organizations and people is moving information from multiple sources into a catalog. Trends aims to follow the automation of their route from origin to data.

Furthermore, it will be useful if the use of connected data platforms such as cloud computing is implemented to enable interconnections that add more value to the customer experience, not in isolation.

The emergence of external data sources

Companies are using statistics outside their business to improve their data models and analytics capabilities. It is expected that the use of external components will increase within this year through an existing open data offering and private and anonymous data platforms.

Similarly, emphasis needs to be placed on legislation and implementation of protections in the context of data analysis and artificial intelligence with a view to finding a balance between fundamental rights and technological innovation.

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