AWS Partner Network (APN) Blog

Category: Analytics

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Aligning Business Intelligence and AI/ML with a Data Mesh Platform on AWS

Data mesh is emerging as a paradigm for generating data-driven value and is gaining real-world adoption within industries like financial services and automotive. Learn about the user journeys of two types of data consumers in a mesh platform: business intelligence and data scientists. Explore how BI and AI/ML overlap within a set of data domains, and how a platform architecture further enables the desired experiences within a data mesh.

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Double Your Speed-to-Data Quality with Elula’s Data Quality Checker and AWS Glue

Data quality is traditionally inconsistent and slow across teams and functions. Custom solutions are purpose-built, of varying quality, and rarely maintained. Elula developed a proprietary Data Quality Checker (DQC) powered by AWS Glue, and an Automated Data Assessment (ADA) user interface to accelerate the identification and prioritization of issues. Elula is an AWS Partner and leading provider of artificial intelligence (AI) software to the financial services sector.

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Big Data Analytics with Amazon EMR and Esri’s ArcGIS GeoAnalytics Engine

Data is growing in all aspects of our world; every vertical and technical domain is being pushed to the limit by growing data—geospatial is no exception. Learn about Esri’s ArcGIS GeoAnalytics Engine on Amazon EMR and how its geospatial capabilities can complement your current analytics workflows. GeoAnalytics seamlessly integrates with Amazon EMR and can be deployed with an Esri-provided bootstrap script at EMR cluster creation.

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New ‘Powered by Amazon Redshift’ Program Helps AWS Partners Enable Customers with Analytics at Any Scale

AWS partners have asked us to do more to help them build analytics-driven applications, so we are excited to announce the launch of the ‘Powered by Amazon Redshift’ program. This program enables ISVs to build their applications using Amazon Redshift—our fully-managed cloud data warehouse service—and deliver fast, easy, and secure analytics at any scale available within their applications. With Amazon Redshift powering applications, ISVs can drive up to 3X price performance compared to any other cloud data warehouse.

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Data Warehousing and Business Intelligence for VMware Cloud on AWS

One of the biggest advantages of VMware Cloud on AWS is that it can readily integrate with other AWS services. That gives you countless ways to elevate your workloads. If you’re amassing data in your databases over time and are looking for novel ways to glean fresh insights out of it, using Amazon Redshift and Amazon QuickSight is an easy and accessible way to achieve it. This post describes how to get more out of existing data residing inside your databases running in VMware Cloud on AWS.

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Enabling Data-Centric Artificial Intelligence Through Snowflake and Amazon SageMaker

Data-centric AI (DCAI) has been described as the discipline of systematically engineering the data used to build an AI system. It prescribes prioritizing improving data quality over tweaking algorithms to improve machine learning models. In this post, explore a DCAI solution built on Snowflake and Amazon SageMaker to serve as a factory for predictive analytics solutions. Learn about Snowflake’s integrations with SageMaker and get hands-on resources to help you put these capabilities into practice.

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Implementing Data Analytics in Industrial Machines with Quantiphi and AWS-Native Solutions

To improve the fault detection process, it’s crucial to monitor production systems and collect performance data in real-time using smart sensors and IoT devices. This post highlights the critical aspects of Quantiphi’s serverless, fully-managed, and streaming ETL pipeline, along with the benefits of the centralized lakehouse (data lake + data warehouse) solution built on AWS. Learn how the solution helped a U.S.-based manufacturing company make better decisions and improve their customer’s production efficiency.

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Superior Integrated Systems (SIS) Developed a Data-as-a-Service Platform with AWS and AllCloud

Superior Integrated Systems (SIS), an integrator of custom-built test equipment and data acquisition systems, launched new services during the pandemic to help their customers satisfy specific product test requirements. Learn how AllCloud supported SIS to build a proof of concept, developing the architecture for the desired data-as-a service platform using AWS Control Tower and AWS Cloud Development Kit (AWS CDK).

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Accelerate Hadoop-to-Amazon EMR Migration Using Virtusa’s Migration Factory

While the global Hadoop-as-a-service market size is growing at a CAGR of ~39%, it leaves out many small, mid, and large-scale organizational players due to the inherent pains of migration. This post explores how Virtusa complements Amazon EMR Migration by providing approaches and utilities to streamline and manage large-scale Hadoop-to-Amazon EMR migrations by creating a migration framework of automated modules.

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How to Collaborate Across Your AWS Data Stack with Atlan

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.