Companies are increasingly adopting cloud-based data storage for flexibility and cost reduction. Yet there is a threat of your data estate becoming redundant due to a lack of modernization. Data Modernization is all about securing your legacy data and giving it a new lease of life by leveraging modern cloud technologies. In this blog, we will take a look at some of the strategies that you can adopt to make your data estate flexible and agile.
The term “data estate” describes the grouping of data and information assets that a company owns and controls. This can apply to information kept in databases, data warehouses, data lakes, and other types of data storage systems, as well as information kept on-site or in the cloud. The hardware and software infrastructure, like servers, storage devices, and analytics tools, that are used to manage and process the data is often referred to as the “data estate.” A data estate may contain a variety of data kinds, including semi-structured, unstructured, and structured data (found in spreadsheets and databases). It may also contain information kept in a hybrid environment, the cloud, or on-premises.
Data access controls, encryption, and backups are examples of security and governance measures that can be included in a data estate. The purpose of these measures is to guarantee that the data are accurate and current, that unauthorized access is prevented, and that data breaches are avoided.
The management of the entire data ecosystem, which includes data collection, storage, processing, analysis, and dissemination, is part of data estate management. Data quality and integrity are also included, as is the implementation of data governance policies and procedures. Data catalogs, data dictionaries, and data lineage are all examples of this.
As businesses increasingly rely on data-driven decision-making, data estate management is becoming increasingly important. To ensure that data is accurate, accessible, and secure, it is essential to have a comprehensive understanding of the data estate as data volumes continue to rise.
A comprehensive view of all an organization’s data assets—infrastructure, governance, security, data quality and integrity, and data management practices—is referred to as a data estate.
Data Estate Migration and Modernization
The process of moving and updating an organization’s data estate to a new platform or environment is referred to as data estate migration and modernization. Data can be transferred from on-premises systems to the cloud or from one cloud platform to another as part of this process. It may also entail modernizing the data management and security processes, tools, and infrastructure.
While the motivations for migrating and modernizing a data estate can vary, the following are some of the most common ones:
lowering expenses: In comparison to on-premises systems, cloud-based platforms frequently have lower costs and can be more scalable and adaptable.
Enhancing safety: Data protection can be made simpler by cloud platforms’ inclusion of compliance certifications and security features.
Performance improvement: Data processing and analysis can proceed more quickly and effectively if the infrastructure and management tools used to manage data are updated.
Facilitating the analysis of data: Organizations can gain access to cutting-edge data analytics tools that are unavailable on-premises by migrating their data to a cloud platform.
Keeping up with current industry trends: Moving to a cloud platform can help a lot of businesses keep up with the most recent technologies and industry best practices.
Modernizing and migrating data estates can be a complicated and time-consuming process, but they can also provide significant advantages to an organization. Working with experts who have experience in data migration and modernization is essential because it necessitates careful planning, testing, and implementation.
Overall, data estate migration and modernization can help businesses save money, increase security, boost performance, and more effectively extract insights from data.
Data modernization technology is the next generation of data management technology that enables the business to harness its data estate, which is generally a combination of structured and unstructured data, to be available to all users, anywhere, anytime on any device.