Big Data is already being established at the core of many companies! It offers various opportunities for them in different areas, allowing them to improve decision making, optimize processes and obtain competitive advantages. In addition to transforming the way they operate and relate to their customers, which can translate into significant competitive advantages.
Big Data and its trends are constantly evolving as technology advances and business needs change. We must always be vigilant in updating its specialized tools and technologies, in order to extract the best from these massive sets of data for decision making.
Some of the current and emerging trends in the field of Big Data for 2024 for companies include:
Edge computing: With the increase in devices connected to the Internet of Things (IoT), greater data generation is occurring at the edge of networks. Edge computing involves processing and analyzing data closer to its origin, reducing latency and improving efficiency in data transmission.
Artificial Intelligence (AI) and Machine Learning (ML): The integration of AI and ML techniques in Big Data analysis allows better automation in the identification of patterns, decision making and the generation of more advanced and precise insights.
Real-time analytics: The need to make instant decisions has led to the rise of solutions that enable real-time data analysis. This is particularly valuable in situations where rapid responses are critical, such as in supply chain management, healthcare, and security.
Data lifecycle automation: Automating tasks related to data management and processing, from ingestion to preparation and analysis, helps speed up the data lifecycle, reduce errors, and improve efficiency.
Blockchain in Big Data: Blockchain technology is increasingly being integrated into Big Data environments to improve data security and integrity. It is used to maintain immutable and transparent records, which is especially important in applications such as supply chain management and data authentication.
Data privacy and ethics: With growing awareness about data privacy, companies are paying more attention to ethical practices in handling information. Regulations such as the European Union's General Data Protection Regulation (GDPR) are influencing the way data is collected, stored and used.
Augmented Analytics: Augmented analytics combines artificial intelligence and data analysis to improve decision making and provide more contextual and personalized insights to users.
Self-service tools: Self-service tools are being developed and improved that allow non-technical users to perform data analysis without completely relying on IT teams.
Cloud data management: Cloud data storage and processing continues to be a dominant trend, offering scalability, flexibility and access to computing resources without the need for significant investments in infrastructure.
These trends reflect the constant evolution of the field of Big Data and its integration with other emerging technologies to address increasingly complex business challenges.
But the world of Big Data is even broader! Therefore, we recommend that you read the following publications in our magazine: ¨Big Data, the work of the future¨ and ¨From Big Data to Smart Data¨.