Azure Blob Storage and Legacy Modernization
Many organizations are moving towards cloud storage because legacy systems no longer have the capacity to cope with drastic changes in data structures to realize operational efficiencies, cost savings, and data security and governance.
Azure Blob storage can effortlessly handle the needs of modern-day businesses. Its cost-efficient tiers are particularly useful for organizations that need to store and manage long-term data.
However, moving to the cloud comes with its own set of challenges. On-premises data centers are often built over years and critical data is scattered around the organization, so companies often end up spending their modernization budget and time on tackling data challenges without achieving much success.
A successful transition hence requires a coherent strategy and the right Azure ETL tool that eliminates the complexity and cost of the process.
Integrating Azure Blob Storage with On-Premises Data Centers
Azure Blob storage is often used as a part of a hybrid storage structure whereby it extends on-premises data center capabilities to store historical data in a cost-efficient manner.
Organizations mostly use cloud storage to store copious amounts of raw and unstructured data such as historical customer shopping behavior. This historical data can be joined with data stored on-premises and sent to a data warehouse for further analysis to enhance customer experience.
Such situations need a solution that can seamlessly extract data from all on-premises sources, integrate it with cloud data, and load it into a destination.
Astera Centerprise can facilitate such scenarios. Its user-friendly interface allows users to instantly map data flows and orchestrate data movement across different platforms. Additionally, the built-in connectors allow users to easily ingest data from multiple disparate sources, transform it using sophisticated built-in transformations, and load it into their desired destination without any hassle.
Populating Microsoft Azure SQL Database from Azure Blob Storage
Azure Blob often acts as a storage layer where data is imported from various sources and then channeled to a repository for querying and analysis since Azure Blob doesn’t come with a querying language. Azure SQL Database is one of the popular destinations in such cases.
While data can be stored on Azure SQL database, its size swells with copious amounts of data, reducing its efficiency and increasing its cost. Azure Blob, on the other hand, is optimized for bulk storage, and it is more cost-efficient to scale Azure Blob storage than Azure SQL database.
Built-in Azure Blob storage and Azure SQL Database connectors in Astera Centerprise make it easier to quickly load a large amount of data into Azure SQL with just a drag and drop. You can then leverage the job scheduler to automate the data pipeline and continuously update the database.
Centerprise also supports CDC functionality in the Azure SQL database. Change Data Capture (CDC) continuously monitors any changes in data structures and updates it. CDC allows low latency data transfer for analytics. It is better than batch replication as it continuously sends updates to analysis destinations without causing any disruptions in production workloads.
Update your data infrastructure with Azure Blob Storage and Astera
Azure Blob can prove to be quite useful when it comes to cost-effective storage. Object storage allows an organization to effectively manage its data and scale without hassle. However, it is imperative to complement it with an ETL tool that is easy to use and can automate most tasks.
Download Astera Centerprise today and seamlessly integrate Azure Blob Storage in your data pipelines.