AWS Partner Network (APN) Blog
Tag: Analytics
How SnapLogic eXtreme Helps Visualize Spark ETL Pipelines on Amazon EMR
Fully managed cloud services enable global enterprises to focus on strategic differentiators versus maintaining infrastructure. They do this by creating data lakes and performing big data processing in the cloud. SnapLogic eXtreme allows citizen integrators, those who can’t code, and data integrators to efficiently support and augment data-integration use cases by performing complex transformations on large volumes of data. Learn how to set up SnapLogic eXtreme and use Amazon EMR to do Amazon Redshift ETL.
Implementing SAML AuthN for Amazon EMR Using Okta and Column-Level AuthZ with AWS Lake Formation
As organizations continue to build data lakes on AWS and adopt Amazon EMR, especially when consuming data at enterprise scale, it’s critical to govern your data lakes by establishing federated access and having fine-grained controls to access your data. Learn how to implement SAML-based authentication (AuthN) using Okta for Amazon EMR, querying data using Zeppelin notebooks, and applying column-level authorization (AuthZ) using AWS Lake Formation.
Secure and Flexible Self-Service Analytics with Cloudera Data Warehouse and Amazon EKS
The demands of modern data warehousing spans analysis across all data—those that originate from traditional backend business systems to those that come from sensors at the edge. Cloudera Data Platform (CDP) delivers powerful self-service analytics across hybrid and multi-cloud environments, along with sophisticated and granular security and governance policies that IT and data leaders demand.
Say Hello to 87 New AWS Competency, Service Delivery, Service Ready, and MSP Partners Added in July
We are excited to highlight 87 APN Partners that received new designations in July for our global AWS Competency, AWS Managed Service Provider (MSP), AWS Service Delivery, and AWS Service Ready programs. These designations span workload, solution, and industry, and help AWS customers identify top APN Partners that can deliver on core business objectives. APN Partners are focused on your success, helping customers take full advantage of the business benefits AWS has to offer.
Building Secure and Private Data Flows Between AWS and Salesforce Using Amazon AppFlow
Amazon AppFlow allows you to source data from AWS services and SaaS applications such as Salesforce, and aggregate them in AWS data lakes and data warehouses to draw unique data-driven insights. Learn how to set up Amazon AppFlow for Salesforce users and follow along with two use cases, one for updating Amazon Redshift with new Salesforce contact information, and another for creating new Salesforce lead records using campaign data stored in Amazon S3.
New Validation Checklists Clarify AWS Competency Requirements for APN Consulting Partners
To receive the AWS Competency designation, APN Partners must undergo rigorous technical validation and assessment of the security, performance, and reliability of their AWS solutions. To help APN Consulting Partners better understand this process and our validation requirements, we are releasing new versions of the AWS Competency Validation Checklists. The checklists highlighted in this post are for APN Consulting Partners.
Cognitive Document Processing and Data Extraction for the Oil and Gas Industry
The oil and gas industry is highly complex and churns out copious amounts of data from sensors and machines at every stage in their business value chain. This post analyzes the role of machine learning for document extraction in the oil and gas industry for better business operations. Learn about Quantiphi’s document processing solution built on AWS, and how it helped a Canadian oil and gas organization address document management challenges through AI and ML techniques.
Helping Healthcare Agencies Without Data Science Skills Get More from Patient Data
Infosys Public Services and AWS have collaborated to develop Infosys Health Insights Platform, an advanced data science platform that helps government healthcare agencies turn multi-source, multi-format data into insights and actions. Its goal is to deliver proactive and targeted interventions to the right people at the right time. This can improve care experience and outcomes across areas like population health management, epidemic management, behavioral health, and substance abuse.
Using Amazon Comprehend Medical, Sisense, and G-Med to Create an AI-Enhanced Knowledge Base to Combat COVID-19
As COVID-19 began to sweep the globe, organizations of all shapes, sizes, and missions sought every available tool in the fight to save lives and limit the scope and spread of the pandemic. One of the key tools at their disposal was data. G-Med, the world’s largest online medical community, teamed up with AWS Competency Partner Sisense to make a plethora of COVID-19 treatment protocols easily analyzed and searchable using AWS machine learning technologies.
Monitor Your Migration to AWS Graviton2-Powered Amazon EC2 Instances with Datadog
If you’re thinking about shifting existing workloads to an AWS Gravitron2-powered Amazon EC2 instance, Datadog can help you monitor your migration and get insight into your entire AWS infrastructure. Install the Datadog Agent, open-source software available on GitHub, to collect infrastructure metrics, distributed traces, logs, and more from your Amazon EC2 instances. With Datadog Amazon EC2 integration, you can monitor even more of your AWS infrastructure, complementing the data collected by the Agent.









