AWS Partner Network (APN) Blog
Tag: HAQM EC2
How Indexima Uses Hyper Indexes and Machine Learning to Enable Instant Analytics on HAQM S3
Achieving “speed of thought” or instant analytics on large data sets is a key challenge for business intelligence platforms. Traditionally, data engineers would design and deliver an optimized, aggregated subset of the data to a data warehouse to drive the visualization. This can often take weeks of development and testing or incur significant infrastructure costs. Learn how Indexima uses machine learning and hyper indexes to automate this process and accelerate analytics by up to 1000x across a full data set on HAQM S3.
Archiving HAQM MSK Data to HAQM S3 with the Lenses.io S3 Kafka Connect Connector
HAQM Managed Streaming for Apache Kafka (HAQM MSK) is a fully managed, highly available, and secure Apache Kafka service that makes it easy to build and run applications that use Kafka to process steaming data. Learn how to use the new open source Kafka Connect Connector (StreamReactor) from Lenses.io to query, transform, optimize, and archive data from HAQM MSK to HAQM S3. We’ll also demonstrate how to use HAQM Athena to query the partitioned parquet data directly from S3.
How to Use AWS Transfer Family to Replace and Scale SFTP Servers
In the financial services domain, it’s a common architecture pattern to find shared services file servers that act as SFTP file server or FTP server. Because these financial applications are not always API driven, data exchange using flat files remains the standard way to share information between applications, even when some of them have been migrated to AWS. Learn how DXC Technology addressed migrating this type of server using AWS Transfer Family, HAQM S3, and HAQM EFS.
How to Get Real-Time SAP Data into HAQM Redshift with HVR
The massive scale and efficiencies offered by cloud data lakes are best served by a continuous replication mechanism from on-premises and cloud-based enterprise resource planning (ERP) applications. Learn how SAP ERP, HAQM Redshift, and HVR Change Data Capture (CDC) add up to more than the sum of the individual parts, and dive deep into HVR’s architecture and the unique value proposition for SAP customers building their data lakes with AWS.
How DataArt Helped Inchcape Shipping Services to Revolutionize Document Processing on AWS
The main thing that all interested parties need when a vessel is in port—and this has never changed—is information. Learn how Inchcape, a global organization and leader in ships agency and maritime services that covers around 2,500 ports, teamed up with DataArt to reimagine its core operational platform, Optic, as a bespoke .NET Core-based microservices solution. Optic builds trust through transparency of the vessel program, real-time updates, and standardized workflow and data across all port calls and locations.
How to Automate Cost and Performance Improvement Through gp3 Upgrades Using AWS Systems Manager
Automatically identifying and upgrading existing SSD volumes to take advantage of the new gp3 general purpose volumes for HAQM EBS can help organizations reduce storage costs. Learn how to upgrade your existing gp2 volumes, without interruption, to the next generation of general purpose SSD volumes using AWS Systems Manager. This a core component of nubeGo’s Cloud Managed Service (NCMS) which helps customers automate cost savings, security guardrails, and compliance requirements with minimal effort.
Creating an Equitable Enterprise AWS Chargeback Model Using CloudHealth
Most enterprises go through the process of monthly chargeback (cost allocation) of their AWS costs to internal business units or cost centers. The AWS Cost and Usage Report can provide the flexibility needed to create detailed custom billing rules. Learn how VMware implemented an equitable chargeback model using CloudHealth’s FlexReports, a simple solution for companies that have multiple Payers or just want to implement custom billing rules quickly.
Computer Vision at Scale with Dask and PyTorch on HAQM EC2 Spot Instances
Saturn Cloud is a data science and machine learning platform for Python. Its multi-node, multi-GPU computing enables 100x faster workflows, reducing the time to business value. Saturn Cloud is compatible with the entire Python ecosystem and a variety of tools, which makes workflows customizable and the computing experience highly flexible for a range of setups and preferences. In a recent release, Saturn Cloud added HAQM EC2 Spot compatibility.
Simplified Cloud Database Management Using Couchbase Cloud and AWS
Couchbase NoSQL database admins have been using AWS to host clusters for many years. Couchbase Cloud provides customers access to sophisticated management software that allows them to co-manage their NoSQL cloud database directly inside their AWS-powered infrastructure. Learn how Couchbase leverages the underlying cloud resources, and explore graphical examples of key features from the web-based control plane to demonstrate how easy it is to use.
Helping a Pharmaceutical Company Drive Business Insights Using ZS Accelerators on HAQM Redshift
With increasing data variety and volumes, it’s become increasingly necessary to ensure all of an organization’s workloads run in the most efficient manner to reduce overall turn-around time and TCO. Get an overview of the data and analytics platform ZS built to streamline and improve contracting analytics for a top life sciences company. Then, dive deep into the data architecture and learn how ZS evolved its data technology stack to get maximum performance.