Category: Advanced (300)

According to a study by the International Data Corporation (IDC), the global datasphere is expected to grow from 33 zettabytes (ZB) in 2018 to 175 ZB by 2025, a staggering five-fold increase. Organizations that leverage distributed architectures generate a significant portion of their data footprint from observability data, including application logs, metrics, and traces, which […]

Disaster recovery (DR) plays an important role in the overall business continuity strategy of an organization. When implementing a DR solution, you must understand business drivers along with any governance, security, and operational requirements that influence the final solution. For example, organizations may have a requirement to maintain different accounts for security isolation, control cost […]

In today’s data-driven world, safeguarding critical information stored in Oracle databases is crucial for enterprises. Companies struggle to efficiently backing up vast amounts of data from hundreds of databases powering enterprise resource planning (ERP) systems and critical applications. These backups must be secure, durable, and easily restorable to ensure business continuity, guard against ransomware, and […]

At Amazon Web Services (AWS), we recommend running workloads across multiple Availability Zones (AZ) for high availability and fault tolerance. However, there are certain situations where users need to run their workloads in a single AZ. These include legacy or commercial off the shelf (COTS) applications that don’t support deployments across multiple AZ, workloads that […]

Object storage provides virtually unlimited scalability, but managing billions, or even trillions, of objects can pose significant challenges. How do you know what data you have? How can you find the right datasets at the right time? By implementing a robust metadata management strategy, you can answer these questions, gain better control over massive data […]

UPDATE (12/19/2024): Added guidance for Amazon EMR setup. Customers commonly use Apache Iceberg today to manage ever-growing volumes of data. Apache Iceberg’s relational database transaction capabilities (ACID transactions) help customers deal with frequent updates, deletions, and the need for transactional consistency across datasets. However, getting the most out of Apache Iceberg tables and running it […]

Today businesses managing petabytes of data must optimize storage and processing to drive timely insights while being cost-effective. Customers often choose Apache Parquet for improved storage and query performance. Additionally, customers use Apache Iceberg to organize Parquet datasets to take advantage of its database-like features such as schema evolution, time travel, and ACID transactions. Customers […]

Many businesses recognize the critical importance of safeguarding their essential data from potential disasters such as fires, floods, or ransomware events. Designing an effective disaster recovery (DR) strategy includes thoughtfully evaluating and selecting cost-effective solutions that fulfill compliance requirements. By using Amazon S3 features such as S3 object tags, S3 Versioning, and S3 Lifecycle, you can […]

In today’s digital era, enterprises face significant challenges in data center modernization during their digital transformation journey. Traditional on-premises solutions struggle with high costs, complex management, and data growth. Organizations with intricate file-sharing systems and user permissions face difficulties in preserving user experiences and security. The tight integration of enterprise IDCs with complex Microsoft Active […]

In today’s data-driven business landscape, organizations are increasingly relying on massive data lakes to store, process, and analyze vast amounts of information. However, as these data repositories grow to petabyte scale, a key challenge for businesses is implementing transactional capabilities on their data lakes efficiently. The sheer volume of data requires immense computational power and […]