Category: Intermediate (200)

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 […]

Organizations today seek data analytics solutions that provide maximum flexibility and accessibility. Customers need their data to be readily available using their preferred query engines, and break down barriers across different computing environments. At the same time, they want a single copy of data to be used across these solutions, to track lineage, be cost […]

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 […]

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 […]

Healthcare and life sciences (HCLS) customers are generating more data than ever as they integrate the use of omics data with applications in drug discovery, clinical development, molecular diagnostics, and population health. The rate and volume of data that HCLS laboratories generate are a reflection of their lab instrumentation and day-to-day lab operations. Efficiently moving […]

Organizations are continuing to build latency-sensitive applications for their business-critical workloads to ensure timely data processing. To make sure that their applications are working and performing as expected, users need effective monitoring and alarming across their infrastructure stack so they can quickly respond to disruptions that may impact their businesses. Storage plays a critical role […]

Operational teams play a crucial role in making sure of the readiness and reliability of a disaster recovery (DR) solution. When these teams don’t have direct access to monitor the resources and services that make up a solution, it can create significant challenges. Logs provide insights into system behaviors, performance, and potential anomalies. When operations […]