Category: Learning Levels

Organizations are increasingly focused on addressing the growing challenge of managing and analyzing vast data volumes, while making sure that their data teams have timely access to this data to enable rapid insights and decision-making. Data analysts and scientists need self-service analytics capabilities to build and maintain data products, often involving complex transformations and frequent […]

Traditionally, many enterprises and organizations with on-premises infrastructure have used boot-from-SAN (Storage Area Network) rather than using locally attached storage. Booting from SAN offers centralized management and backup of boot volumes, supports high availability through multipathing, and enables greater flexibility by allowing systems to boot from pre-configured OS images hosted on a shared storage array […]

Organizations often struggle to extract maximum value from their data lakes when running generative AI and analytics workloads due to data quality challenges. Although data lakes excel at storing massive amounts of raw, diverse data, they need robust governance and management practices to prevent common quality issues. Without proper data validation, cleansing processes, and ongoing […]

Users often use backups to help recover data after a disaster or security incident. However, what is often overlooked is the need to restore data due to an operational incident such as a data corruption event or deleted file. The ability to identify files and directories within a backup and restore them is an important […]

In today’s data-driven world, organizations face the challenge of efficiently managing and consolidating vast amounts of information from diverse sources. Whether it’s for analytics, machine learning (ML), or other business-critical applications, the ability to seamlessly transfer and organize data is crucial. However, this process can be complex, time-consuming, and prone to errors when done manually. […]

When it comes to running enterprise workloads, Microsoft SQL Server sits at the heart of many of these solutions providing the data needed to drive important business decisions. However, what is often not considered is the storage service underpinning the delivery of that critical data, and with the right tools and management applied, how that […]

Editor’s note: AWS is not responsible for UCI’s public GitHub repo linked in this post, which has been provided so that interested parties can explore the solution described in this post in more detail. The University of California, Irvine (UCI) is a public land-grant research university with troves of research data stored on servers in […]

When was the last time you found yourself trying to look at rows and rows of data in a spreadsheet struggling to interpret and draw conclusions? Many analysts and engineers experience the same challenge every day. Whether it’s analyzing sales trends, monitoring operational metrics, or understanding customer behavior, the challenge lies not just in interpreting […]

Health plans process billions of claims electronically each year. Council for Affordable Quality Healthcare (CAQH) estimates that approximately 10% of claims still arrive as paper documents, accounting for hundreds of millions of paper submissions annually in the U.S. These paper claims create processing bottlenecks and consume a disproportionate share of operational costs and resources, with […]

Managing storage resources efficiently in cloud environments is a challenge for organizations of all sizes. As businesses scale their operations, they often accumulate unused storage volumes that continue to generate costs without providing value. This ‘orphaned’ storage problem is particularly acute in containerized environments, where the complexity of storage lifecycle management can lead to oversight […]