AWS Partner Network (APN) Blog

Tag: APN Partner Success

Mactores-AWS-Partners

Optimizing Presto SQL on Amazon EMR to Deliver Faster Query Processing

Seagate asked Mactores Cognition to evaluate and deliver an alternative data platform to process petabytes of data with consistent performance. It needed to lower query processing time and total cost of ownership, and provide the scalability required to support about 2,000 daily users. Learn about the the three migration options Mactores tested and the architecture of the solution Seagate selected. This effort improved the overall efficiency of Seagate’s Amazon EMR cluster and business operations.

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Machine Learning-4

How to Use Amazon SageMaker to Improve Machine Learning Models for Data Analysis

Amazon SageMaker provides all the components needed for machine learning in a single toolset. This allows ML models to get to production faster with much less effort and at lower cost. Learn about the data modeling process used by BizCloud Experts and the results they achieved for Neiman Marcus. Amazon SageMaker was employed to help develop and train ML algorithms for recommendation, personalization, and forecasting models that Neiman Marcus uses for data analysis and customer insights.

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Cazena-AWS-Partners

Accelerating Apache and Hadoop Migrations with Cazena’s Data Lake as a Service on AWS

Running Hadoop, Spark, and related technologies in the cloud provides the flexibility required by these distributed systems. Cazena provides a production-ready, continuously optimized and secured Data Lake as a Service with multiple features that enables migration of Hadoop and Spark analytics workloads to AWS without the need for specialized skills. Learn how Cazena makes it easy to migrate to AWS while ensuring your data is as secure on the cloud as it is on-premises.

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How Steamhaus Used AWS Well-Architected to Improve Sperry Rail’s Artificial Intelligence System

Over two days, Steamhaus conducted an AWS Well-Architected Review on-site with the team who designed, built, and currently manage Elmer at Sperry Rail. Elmer uses machine intelligence to inspect thousands of miles of ultrasound scans collected by Sperry’s inspection vehicles, searching for evidence of cracks in the rail. This partnership allowed quick improvements in efficiency, while ensuring the requirements of running the business day-to-day did not get in the way of improving Elmer.

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Deloitte-AWS-Partners

Building a Business Case for SAP on AWS to Unlock New Value for the Enterprise

Many organizations will find the migration to S/4HANA in the cloud to be as transformative as their initial adoption of enterprise resource planning (ERP) software. Choosing trusted providers that understand both your business needs and technology environment is the shortest path to value. Deloitte’s collaboration with AWS helps clients accelerate their ability to achieve digital transformation and powerful insights-based outcomes with SAP S/4HANA and the SAP HANA platform.

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Braze-AWS-Partners-1

Transforming the Customer Experience at Speed and Scale with AWS and Braze

Braze is a comprehensive customer engagement platform built on AWS that helps brands bring modern, stream processing, and data-science frameworks to their engagement strategies. When a minute can make or break a customer experience, brands need a tool that allows them to make virtually instantaneous and meaningful connections with every one of their customers. Learn about recent campaigns from Burger King, Overstock, and BlaBlaCar and the technology that made them possible.

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Managing Red Hat Enterprise Linux Systems on AWS with Red Hat Insights

Red Hat Insights helps you manage Red Hat Enterprise Linux (RHEL) Systems on AWS by analyzing physical, virtual, container, and hybrid private and public cloud environments, comparing them to more than 1,000 rules. These rules identify potential threats that could lead to business disruptions. Insights scans your environments daily, summarizes any identified risks in its dashboard, and provides remediation steps for those risks.

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How Sisense Simplifies Complex Data Analytics for Analysts and Developers

Organizations these days are inundated with data. Learn how engineers and analysts can handle the critical challenges of gaining insights from large and complex data sources while also democratizing data for improved adoption across the organization. The Sisense platform simplifies end-to-end data and analytics, reducing time-to-insights by empowering data and IT teams to build advanced data models and perform advanced analysis for their needs.

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Leveling Up Your Alerting Workflow with Thundra’s Deep Instrumentation Capabilities

Serverless architectures allow application teams to build applications quickly without worrying about any of the underlying servers. Thundra’s cloud-native observability and security tool helps you test, debug, monitor, troubleshoot, and secure AWS Lambda functions, containers deployed by services like AWS Fargate, and their environments composed of managed or unmanaged services. Walk through a sample alerting scenario and learn how Thundra helps pinpoint and resolve the problem.

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Security-8

How to Send CloudHSM Audit Logs to Splunk and Monitor Critical Events on the HSM

AWS CloudHSM is a cloud-based hardware security module (HSM) that enables you to easily generate, store, import, export, and manage your cryptographic keys. This post walks through using AWS services to create a pipeline that sends HSM audit logs into Splunk. You’ll also learn how to interpret the audit events and gain specific data insights that enable you to flag critical events taking place on the CloudHSM appliance.

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