Technology is ever-evolving, and every year brings new advancements that change how we live and work. In 2024, three technologies will significantly impact the data management space: micro-databases, data automation cloud, and AI.
Micro-databases are small-scale databases that are designed to be lightweight and portable. Micro-databases can help in masking sensitive information by allowing users to access only the data they are authorized to see selectively. By breaking down an extensive database into more focused micro-databases, controlling access to sensitive information becomes more accessible. Due to their size and portability, these databases offer increased security, reliability, and faster processing speeds.
Data automation cloud is another technology set to revolutionize how businesses operate. With the explosion of data in recent years, managing and analyzing it has become increasingly difficult. Data automation cloud platforms are designed to simplify this process by automating data movement, cleansing, and processing.
At the same time, AI made a significant impact in 2023 with new applications across industries. With its ability to analyze vast amounts of data and identify patterns, AI has the potential to revolutionize the way businesses operate.
Here’s a detailed analysis of all three.
How do you manage and store data efficiently in a microservices architecture? The answer lies in the power of micro-databases – small, lightweight databases designed to support the unique needs of microservices applications.
Micro-databases are optimized for high performance and efficiency while also designed for ease of deployment and scalability. Their ability to quickly scale up or down in response to changes in demand for data storage and retrieval makes them particularly valuable for microservices applications. Whether you need to store and manage large amounts of data or just a small amount, micro-databases offer a flexible and efficient solution that can adapt to your needs.
Micro-databases are independent and specific to each microservice, enabling them to be managed and updated separately from other microservices in the system. This isolation ensures that any changes made to one microservice won’t impact the data stored in other microservices, allowing for greater flexibility and agility in the overall system architecture.
Their most popular implementation comes from K2View’s operational data management fabric. K2view micro-database technology is a centralized data lake for a specific business entity, consolidating and harmonizing all relevant data from various source systems. It delivers instantly accessible, encrypted, and in-sync data resources.
K2View is a robust platform capable of managing billions of micro-databases at an enormous scale to support operational workloads. With K2View, all the data related to a specific business entity, such as customer, device, or order, is uniquely managed in its own highly efficient and secure micro-database.
These micro-databases are optimized for performance, compressed to conserve storage space, and encrypted to ensure data privacy and security.
With the growing adoption of microservices architecture among organizations, the demand for micro-databases is expected to surge. This will likely fuel innovation and advancements in the field while intensifying the competition among micro-database providers.
Fivetran’s Data automation cloud
Data automation cloud is a cloud-based platform that automates the process of collecting, processing, and analyzing data in real time. It leverages machine learning, artificial intelligence, and other advanced technologies to automate data handling, freeing up time and resources for businesses to focus on more critical tasks.
Fivetran is a cloud-based data movement platform that simplifies and accelerates the extract, load, and transform (ELT) process. The platform offers a comprehensive suite of over 300 pre-built source connectors that enable reliable and scalable data movement across cloud data platforms. These connectors span various categories, including databases, applications, event streams, files, and APIs.
One of the key features of Fivetran is its automated schema drift handling, updates, and data normalization. This means that data engineers no longer have to spend hours manually handling these tasks, freeing them to focus on higher-impact projects. Fivetran offers quickstart data models that complement connectors without needing DBT (data build tool) projects.
Fivetran also integrates, manages, and orchestrates custom DBT Core models. Data engineers can leverage Fivetran’s data pipeline orchestration capabilities to manage complex data transformation processes. Furthermore, Fivetran provides lineage graphs that allow customers to monitor end-to-end data movement and ensure data quality.
Another noteworthy feature of Fivetran is its real-time database replication capabilities. This makes it ideal for the world’s largest workloads, as it can replicate data at speeds of 50gb+ per hour. Fivetran has managed over 30,000 database connectors for more than 2,500 customers, replicating over 400 billion rows of data.
Overall, Fivetran is a powerful and reliable data movement platform that enables organizations to extract value from their data quickly and easily. Its comprehensive suite of features makes it a top choice for businesses of all sizes, especially those with complex data environments.
Protopia’s Stained glass transform
AI has demonstrated its capabilities and its potential to revolutionize businesses and industries is boundless, presenting endless possibilities for innovation and growth.
Protopia AI is a software development platform specializing in data security and privacy. By leveraging artificial intelligence and machine learning, the platform enables data scientists to extract valuable insights from data without compromising the privacy of sensitive information.
One of Protopia AI’s key products is the Stained Glass Transform, which offers a unique solution to prevent sensitive information leakage across various data formats, including visual, text, and tabular forms. This innovative tool transforms sensitive data into a non-plain-text format that can still be used for training AI models.
By utilizing Stained Glass Transform, data owners can retain ownership of sensitive information and enable the extraction of value from their data using ML/AI. Data scientists can access high-quality training data to create high-performance models while minimizing the liability of handling sensitive information. Additionally, they can use the most efficient platform for training without worrying about exposing sensitive information to that platform.
Stained Glass Transform enables businesses to leverage their data assets without exposing themselves to security risks or compromising their customers’ privacy. It is a powerful tool that empowers data scientists to work with real training data while ensuring that sensitive information remains secure and private.
The Technological advancements we can expect in 2024 are poised to revolutionize our lives and work. With micro-databases, we can look forward to faster processing speeds, increased security, and reliability in edge computing and IoT applications. Data automation cloud platforms will simplify managing and analyzing the explosive data we generate.
AI will continue to evolve and integrate into various aspects of our daily lives, improving industries such as healthcare, finance, and manufacturing. As technology advances rapidly, we can expect these and other innovations to shape how we live and work in the future.