Tag: HAQM Athena

Businesses store large volumes of data in their data lakes and rely on this data to extract insights and make important business decisions. However, business stakeholders sometimes lack the technical skills required to run complex queries against their data lakes. Instead, they rely on data scientists or analysts to build reports and dashboards or to […]

Organizations meet business and regulatory requirements by having visibility and control over backup environments. You want a streamlined solution to continuously monitor, detect, and track policy drifts across your backup deployments at scale. This need is driven by the growing complexity of AWS environments, the proliferation of data across diverse AWS services and regions, and […]

Protecting against accidental or malicious deletion is a key element of data protection. Immutability protects data in-place, preventing unintended changes or deletions. However, sometimes it isn’t clear for how long data should be made immutable. Users in this situation are looking for a solution that maintains short-term immutability, indefinitely. They want to make sure their […]

Cost is top of mind for many enterprises, and building awareness of different cost contributors is the first step toward managing costs and improving efficiency. Costs for transferring data may segregate into common but low cost and less frequent but higher cost groups. Data about these two groups is mixed together, and separating them enables […]

When managing a large volume of data in a storage system, it is common for data duplication to happen. Data duplication in data management refers to the presence of multiple copies of the same data within your system, leading to additional storage usage as well as extra overhead when handling multiple copies of the same […]

Enterprises may want to customize their data sets for different requesting applications. For example, if you run an e-commerce website, you may want to mask Personally Identifiable Information (PII) when querying your data for analytics. Although you can create and store multiple customized copies of your data, that can increase your storage cost. You can […]

Today, customers increasingly choose to store data for longer because they recognize its future value potential. Storing data longer, coupled with exponential data growth, has led to customers placing a greater emphasis on storage cost optimization and using cost-effective storage classes. However, a modern data archiving strategy not only calls for optimizing storage costs, but […]

SaaS providers with multi-tenant environments use cloud solutions to dynamically scale their workloads as customer demand increases. As their cloud footprint grows, having visibility into each end-customer’s storage consumption becomes important to distribute resources accordingly. An organization can use storage usage data per customer (tenant) to adjust its pricing model or better plan its budget. […]

Organizations around the world store billions of objects and files representing terabytes to petabytes of data. Data is often owned by different teams, departments, or business units, spanning multiple locations. As the amount of datastores, locations, and owners grow, you need a way to cost-effectively maintain visibility on important characteristics of your data, including based […]

Update (02/13/2024): Consider HAQM S3 Lifecycle transition fees that are charged based on the total number of objects being transitioned, the destination storage class (listed on the HAQM S3 pricing page), as well as the additional metadata charges applied. You can use the S3 pricing calculator to estimate the total upfront and monthly costs by […]