AWS Partner Network (APN) Blog

Category: Expert (400)

APN-Ambassadors-1

Using Databricks SQL on Photon to Power Your AWS Lake House

Databricks SQL is a dedicated workspace for data analysts that comprises a native SQL editor, drag-and-drop dashboards, and built-in connectors for all major business intelligence tools as well as Photon. In this post, Volker Tjaden, an APN Ambassador from Databricks, shares the technical capabilities of Databricks SQL and walks through two examples: ingesting, querying, and visualizing AWS CloudTrail log data, and building near real-time dashboards on data coming from Amazon Kinesis.

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Transforming Geospatial Data to Cloud-Native Frameworks with Element 84 on AWS

Element 84, in collaboration with AWS and Geoscience Australia, has released the Sentinel-2 Cloud-Optimized GeoTIFF (COG) dataset on AWS Open Data. Sentinel-2 is an important platform for Earth observation, and its imagery contributes to ongoing research in climate change, land use, and emergency management. By making the Sentinel-2 archive more cloud-native, we are making the data more user-friendly and (hopefully) making the lives of emergency managers, climate scientists, and policy makers that much easier.

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How to Use Webhooks to Automate Red Hat OpenShift App Rebuilds from AWS CodeCommit

One of the offerings to help joint AWS and Red Hat customers build for an open hybrid cloud future is Red Hat OpenShift Service on AWS (ROSA), a fully managed OpenShift service, jointly supported by both Red Hat and AWS. In this post, we focus on a single but common use case often observed in the field where a joint enterprise customer has made investments in the AWS Cloud and is now considering expanding and adopting ROSA service as part of the AWS portfolio.

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Tamr-AWS-Partners

How Tamr Optimized Amazon EMR Workloads to Unify 200 Billion Records 5x Faster than On-Premises

Global business leaders recognize the value of advanced and augmented big data analytics over various internal and external data sources. However, technical leaders also face challenges capturing insights from data silos without unified master data. Learn how migrating Tamr’s data mastering solutions from on-premises to AWS allowed a customer to process billions of records five times faster with fully managed Amazon EMR clusters.

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Securing AWS IoT Greengrass Deployments with NXP’s EdgeLock SE050

Within AWS IoT fleet deployments, each connected device needs to have unique, trusted, verifiable identity. While Linux OS provides strong protection from unauthorized user access, it’s still possible to compromise the system if the attacker has full physical access to the device. NXP EdgeLock SE050 prevents attackers from extracting the private key even if the physical integrity of the device is compromised and the attacker managed to get access to the device filesystem.

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Indexima-AWS-Partners

How Indexima Uses Hyper Indexes and Machine Learning to Enable Instant Analytics on Amazon 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 Amazon S3.

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Lenses.io-AWS-Partners

Archiving Amazon MSK Data to Amazon S3 with the Lenses.io S3 Kafka Connect Connector

Amazon Managed Streaming for Apache Kafka (Amazon 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 Amazon MSK to Amazon S3. We’ll also demonstrate how to use Amazon Athena to query the partitioned parquet data directly from S3.

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How to Export a Model from Domino for Deployment in Amazon SageMaker

Data science is driving significant value for many organizations, including fueling new revenue streams, improving longstanding processes, and optimizing customer experience. Domino Data Lab empowers code-first data science teams to overcome these challenges of building and deploying data science at scale. Learn how to build and export a model from the Domino platform for deployment in Amazon SageMaker. Deploying models within Domino provides insight into the full model lineage.

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ASCENDING-AWS-Partners

How to Implement Object-Based Authorization in Serverless Applications Using Amazon Cognito

When building a complex web service such as a serverless application, sooner or later you must deal with permission control. Amazon Cognito is a powerful authentication and authorization service managed by AWS and is often combined with Amazon API Gateway and AWS Lambda to build secure serverless web services. Through the blueprint of an AWS Lambda authorizer, learn how to implement object-based authorization in serverless applications on AWS.

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How to Integrate AWS Client VPN with Azure Active Directory

It’s well known that IT departments prefer authentication integration into existing IdPs such as Azure Active Directory to reduce operational overhead and the attack surface of IT systems. AWS announced federated authentication support for AWS Client VPN in May 2020, and this support requires integration with a SAML 2.0 provider, such as Azure Active Directory. Learn how to integrate AWS Client VPN with an Azure Active Directory to give remote users access to an AWS private VPCs..

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