Category: Software

More people are using data today than ever before, but it’s getting harder and harder for everyone to collaborate on the same data. Atlan has pioneered a collaborative workspace helping modern data teams work together better. Atlan is a collaboration and orchestration layer—the glue that brings together your team, the tools you love, and the data you need. Learn how companies use Atlan and AWS to democratize their data, collaborate more effectively, and unify knowledge and context in one place.

Although the business case for digital analytics is well-articulated, many organizations are looking for ways to build stronger cases around transformations by consolidating data generated across the enterprise with customer behavioral data. Learn how Softcrylic developed the Analytics Shift solution which helps businesses bring Adobe Analytics data into Amazon Redshift to drive deeper insights and data integration.

Ahana provides a fully managed and easy-to-use service for running Presto on AWS, and customers like Metropolis use Ahana to query data in their Amazon S3-based data lake for business intelligence, ad-hoc analytics, and reporting. Learn how Metropolis uses AWS Lake Formation and Ahana to build a data lake that allows their analysts and data scientists to develop a simple, hands-free parking experience for their customers.

LoRaWAN is one of the most popular LPWAN technologies, and AWS IoT Core is a managed IoT platform that allows connected devices to interact with cloud applications and AWS. Learn how to integrate devices connected to your private LoRaWAN network powered by OrbiWAN with AWS IoT Core. OrbiWAN is OrbiWise’s carrier-grade LNS and is broadly used by large public network operators and by many private networks alike.

Many SaaS providers are leveraging Amazon EKS to build their solutions on AWS, as EKS provides builders with a range of different constructs that can be used to implement multi-tenant strategies. In this post, explore an architecture based on EKS that demonstrates a siloed SaaS deployment model, using Istio Service Mesh to manage request authentication and per-tenant routing. Istio is an open-source service mesh that many SaaS providers use for deploying their multi-tenant applications.

The zero-cost Amazon Sustainability Data Initiative (ASDI) seeks to accelerate sustainability research and innovation by minimizing the cost and time required to analyze large sustainability datasets. In this post, we’ll use Snowflake, a data cloud company, to work with two different ASDI datasets containing climate and air quality data. We’ll demonstrate how to access ASDI datasets, join them together by date, and ultimately form a merged result.

With the support of AWS SaaS Factory, GA Telesis launched the FraudBlock SaaS solution, a fraud protect API service for companies to protect their organizations from BEC/EAC scams and help securely perform B2B transactions. The SaaS Factory team spoke with Darryl Maraj, Head of Technology at DIG and CTO at Blockrails, to learn more about Blockrails, the value its new FraudBlock solution brings to customers, and the key lessons learned building a SaaS solution on AWS.

While SaaS remains a huge growth driver and provides benefits to end customers and software providers, the transition to this model can be challenging as technology and operations take on new responsibilities in an “as-a-service” environment. To be successful, organizations need to rethink every dimension of how they build, sell, manage, support, and operate their solution. Learn how to accelerate your SaaS journey with help from AWS SaaS Competency Partners.

Organizations hosting customer-specific machine learning models on AWS have unique isolation and performance requirements and require a solution that provides a scalable, high-performance, and feature-rich ML platform. Learn how Amazon SageMaker Pipelines helps you to pre-process data, build, train, tune, and register ML models in SaaS applications. We’ll focus on best practices for building tenant-specific ML models with particular focus on tenant isolation and cost attribution.

To quickly build intelligent data-driven workflows, organizations need business analysts to work with data scientists and development teams to unlock useful insights from unstructured or semi-structured data. Learn how KNIME’s end-to-end data science product portfolio helps bridge the gap between the ideation and productionalization steps of data science projects, while also assisting in the communication of key data science aspects between teams.