Category: Analytics

We are pleased to announce the launch of the Amazon OpenSearch Service Delivery specialization to help customers find validated AWS Partners with deep technical knowledge, experience, and proven success delivering Amazon OpenSearch Service. Amazon OpenSearch Service is an open source, distributed search and analytics suite that makes it easy for customers to perform interactive log analytics, real-time application monitoring, website search, and more.

Provectus, an AWS Premier Tier Services Partner with the Data and Analytics Competency, helps clients resolve issues of their legacy, on-premises data platforms by implementing best practices for the migration and optimization of Amazon EMR workloads. This post examines the challenges organizations face along the path to a successful migration, and explores best practices for re-architecting and migrating on-premises data platforms to AWS

While utilities have historically been rich with data from customers, programs, and assets, many organizations often manage data in siloes. Source data can also be disorganized, with deficiencies in defined quality assurance and quality control processes. Learn how utilities are successfully embracing Accenture’s data-led transformation (DLT) and leveraging accelerators powered by AWS to reach their business objectives and meet regulatory obligations.

Learn how you can securely migrate your data from an on-premises network file system (NFS) to Amazon S3 using AWS DataSync. We’ll also provide guidance on how Trend Micro Cloud One – File Storage Security can be implemented to perform malware scanning, as well as address compliance, needs such as PCI-DSS and HIPAA. Trend Micro is an AWS Security Competency Partner and global leader in cybersecurity, helping make the world safe for exchanging digital information.

Most SaaS solutions which undergo an AWS Foundational Technical Review (FTR) ingest, manage, and store sensitive data. The FTR is a review based on the AWS Well-Architected Framework and enables AWS Partners to identify and remediate risks in their solutions. Learn how to manage and secure sensitive data within their SaaS solutions with a focus on addressing requirements related to PII or PHI requirements in the Foundational Technical Review.

Data transfer cost is a key component to consider when selecting your strategy to get data into Splunk Cloud on AWS. Customers using Splunk Cloud on AWS for their security, operational, and observability use cases may manage large volumes of data. Having a thorough understanding of AWS data transfer charges can help them optimize their architectures and costs. This post discusses the data transfer costs for five of the most common Splunk use cases.

Amazon OpenSearch Service is frequently used by SaaS providers to address a broad range of use cases. The use of Amazon OpenSearch Service in a multi-tenant environment, however, introduces a collection of new considerations that will influence how you partition, isolate, deploy, and manage your solution. Explore the strategies and patterns that are used to address these common issues, and look at the specific models used to represent and isolate each tenant’s data with Amazon OpenSearch Service constructs.

A SaaS data platform may run in the account of an ISV or a dedicated account provided by the customer. Learn about the main AWS services SaaS data platforms can integrate with to provide customers with a seamless experience and take advantage of AWS services in order to accelerate their drive to meeting their business goals. Explore how those integrations can be built and examples of AWS ISV Partners who have successfully developed these integrations.

Procure-to-pay automation often creates data silos which cause new problems and inefficiencies. Businesses need to break down data silos for a complete picture of spending and saving enterprise-wide. It’s time to reimagine the procure-to-pay process with a data-driven and fact-based approach. Learn how Genpact and AWS helped a Fortune 500 energy giant transform its procure-to-pay business, delivering savings of over $100 million in the first year alone.

In the healthcare industry, the exchange of data incurs risks as it contains personally identifiable information (PII) and protected health information (PHI). At the same time, not exchanging the data can keep valuable insights hidden. Apexon’s data anonymization and de-identification solution uses sophisticated machine learning algorithms to ensure the exchange of data happens without any risk of PII/PHI being exposed, while allowing organizations to meet compliance and regulatory requirements.