Tag: Amazon S3

Although many SQL engines allow tools to query Amazon S3 data, organizations face multiple challenges, including high latency and infrastructure costs. Learn how Dremio empowers analysts and data scientists to analyze data in S3 directly at interactive speed, without having to physically copy data into other systems or create extracts, cubes, and/or aggregation tables. Dremio’s unique architecture enables faster and more reliable query performance than traditional SQL engines.

The growth of AI in a wide range of applications demands more purpose-built processors to provide scalable levels of performance, flexibility, and efficiency. The LG AIoT board helps customers accelerate their computer vision and machine learning journey using AWS. Learn how to build a simple AI-enabled application with AWS IoT Greengrass that takes advantage of the hardware AI acceleration on the LG AIoT board. AWS IoT Greengrass extends AWS on your device and offers the cloud programming model and tools at the edge.

Many oil & gas operators need near-instant access to their geoscience data. Unfortunately, most subsurface applications provide only a limited, fragmented view of data. INT’s data visualization platform IVAAP uses OSDU on AWS to enable users who want to optimize this and other workflows. The IVAAP platform offers a single point of access to search, interact with, analyze, and visualize multiple petrotechnical data sources in a single web-based application.

Security and compliance governance is one of the most challenging problems organizations face when managing their cloud infrastructure. After years of working with AWS, Datacom Group has observed that each client has their own industry-specific security and compliance requirements. What’s needed is a solution that is flexible enough to cater to diverse customer requirements. Datacom’s governance solution is flexible and can integrate with a number of AWS native services to offer enhanced capabilities.

AWS Partners in the AWS Quick Start program can help their customers automate the deployment of their solutions, increasing customer engagements and improving the customer experience. The AWS Quick Start team has had considerable experience working with a variety of partner products, and has identified best practices to follow when developing a Quick Start and common missteps to avoid. By following these steps, you can efficiently and effectively develop Quick Starts using the AWS platform.

Scientific visualization is critical to understand complex phenomena modeled using high performance computing simulations. However, it has been challenging to do this effectively due to the inability to visualize, explore, and analyze large volumes of data and lack of collaborative workflow solutions. NVIDIA IndeX on AWS addresses each of these problems by providing a scientific visualization solution for massive datasets, thus opening the doors for discovery.

Online fraud is estimated to be costing businesses billions of dollars a year. As Fraudsters evolve new behaviors to get around preventive measures, businesses need a strategy that enables them to be responsive to new problems as they emerge. Learn how Inawisdom uses Amazon Fraud Detector to accelerate how AI can be embedded in a company’s strategy. What makes machine learning more flexible is its focus on identifying general patterns by looking at lots of examples.

Apache Hudi on Amazon EMR is an ideal solution for large-scale and near real-time applications that require incremental data pipelines and processing. This post provides a step-by-step method to perform a proof of concept for Apache Hudi on Amazon EMR. Learn how a non-customer-facing PoC solution from nClouds set up a new data and analytics platform using Apache Hudi on Amazon EMR and other managed services, including Amazon QuickSight for data visualization.

Popular in the HPC community and a range of industry verticals, Lustre is a powerful, open source, Linux-compatible, parallel file system. Amazon FSx for Lustre is a fully managed, scalable shared storage solution to power your compute workloads. Six Nines is deeply familiar with HPC storage pain points, and has helped customers address this very issue over the past five years. Dive deep with Six Nines’ FSx for Lustre experience, particularly the high availability, performance, and integration features of its latest releases.

Amazon Redshift recently announced support for materialized views, which lead to significantly faster query performance on repeatable query workloads. That, in turn, reduces the time to deliver the datasets you need to produce your business insights. Matillion ETL for Amazon Redshift provides comprehensive enterprise-grade features to simplify and speed up building and maintaining these pipelines.