Category: AWS Identity and Access Management (IAM)

As businesses continue to rely on data-driven decision-making, there’s an increasing demand for tools that streamline and accelerate the process of data analysis. Efficiency and simplicity in application architecture can serve as a competitive edge when driving high-stakes decisions. Developers are seeking lightweight, flexible tools that seamlessly integrate with their existing application stack, specifically solutions […]

Organizations are modernizing data platforms to use generative AI by centralizing data from various sources and streaming real-time data into data lakes. A strong data foundation, such as scalable storage, reliable ingestion pipelines, and interoperable formats, is critical for businesses to discover, explore, and consume data. As organizations modernize their platforms, they often turn to […]

Managing large-scale data analytics across diverse data sources has long been a challenge for enterprises. Data teams often struggle with complex data lake configurations, performance bottlenecks, and the need to maintain consistent data governance while enabling broad access to analytics capabilities. Today, Starburst announces a powerful solution to these challenges by extending their Apache Iceberg […]

Businesses are increasingly adopting real-time data processing to stay ahead of user expectations and market changes. Industries such as retail, finance, manufacturing, and smart cities are using streaming data for everything from optimizing supply chains to detecting fraud and improving urban planning. The ability to use data as it is generated has become a critical […]

Many organizations use third-party Cloud Security Posture Management (CSPM) tools (for example Wiz.io) to continuously detect and remediate misconfiguration from build time to runtime across hybrid clouds such as AWS. CSPM tools often use AWS resource tags to enhance their security and compliance monitoring capabilities. Tags are key-value pairs that you can assign to AWS resources […]

Modern data lakes integrate with multiple engines to meet a wide range of analytics needs, from SQL querying to stream processing. A key enabler of this approach is the adoption of Apache Iceberg as the open table format for building transactional data lakes. However, as the Iceberg ecosystem expands, the growing variety of engines and languages has […]

Businesses use Amazon Elastic Block Store (Amazon EBS) snapshots to capture point-in-time copies of application data volumes that can serve as baseline standards when creating new volumes. This enables them to quickly launch application workloads in different AWS Regions or meet data protection and disaster recovery requirements. Security and regulatory compliance remain top priorities as […]

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 […]

Delhivery is one of the largest third-party logistics providers in India. It fulfills millions of packages every day, servicing over 18,000 pin codes in India and powered by more than 20 automated sort centers, 90 warehouses, with over 2800 delivery centers. Data is at the core of the Delhivery’s business. In anticipating of potential regulatory […]

As your organization’s data grows, effective management of storage costs is crucial for operating an efficient and cost-effective data infrastructure. One of the most efficient strategies to reduce storage costs is transitioning files to less expensive cold storage classes. To optimize storage costs according to their specific needs and requirements, organizations need the flexibility to […]