Category: Analytics

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).

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.

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.

As data grows at an exponential rate both in volume and velocity, it becomes important for organizations to carve out a strategy to store data in appropriate locations with the correct safeguards to address data access and privacy concerns. Learn how organizations can transform their data landscape into a more controlled, flexible, and secure landscape using LTI’s Canvas Scarlet Data Mesh framework built on AWS to meet the data challenges an organization faces today.

Embedded analytics is re-shaping how users consume data by providing insights in the key moments that matter. The new Embedded Analytics Partner Program (EAPP) will accelerate the embedded analytics journey for AWS customers thanks to a set of trusted AWS Partners who can help customers quickly understand and integrate Amazon QuickSight’s embedded analytics capabilities to create insightful, data-driven experiences for end users.

By powering personalized, relevant, and timely digital interactions built on guest behavior data, Braze can help AWS lodging customers generate additional revenue and engage guests for the long run using personalization. Learn how a hotel customer can rapidly and simply transform their web booking engine into a digital user engagement solution offering a personalized booking experience including upsell capabilities.

Data is the most important resource available to modern institutions. The challenge is not necessarily generating, cataloging, or storing data, but operationalizing it. Palantir Foundry is an operations platform that leverages existing data systems and analytics tooling to power smarter decision-making. Learn how Palantir HyperAuto can rapidly integrate data from ERP systems and operationalize that existing data against pressing business problems.

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.