Tag: Amazon Athena

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.

Serverless technologies have matured a lot over the years, and it’s easier than ever to deploy the entire stack of applications using serverless and AWS managed services. Infosys is seeing enterprises across industries take advantage of the power of serverless architecture for a variety of use cases. Learn how serverless architecture on AWS can help enterprises modernize their application landscape, along with common use cases and some reference architectures.

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.

Learn how Storm Reply used AWS IoT services to implement a solution that is highly scalable, easy to maintain, and optimized to satisfy custom requirements for Schenck Process Group, a global market leader in measurement and process technology. Storm Reply’s approach is to pair the edge device capabilities of AWS IoT Greengrass with the storage and processing power of AWS and pairing these tools with a custom, high-quality web application.

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.

Amazon Athena is a serverless interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Data stored in S3 can span gigabytes to petabytes, however, and querying such massive data poses unique challenges. Follow along as experts from AWS and Innovative Solutions present a use case-based approach to help evaluate these challenges and propose solutions to improve Amazon Athena query performance.

Forward-looking finance teams will build resilience and responsiveness to future disruption. To deliver this strategic mandate, finance offices must be data-driven and share insights that help the organization connect, predict, and adapt within a changing business environment. Learn how Genpact’s data lake analytics reference architecture helps finance teams incorporate functional expertise into AWS solutions with the goal of delivering business impact beyond increased productivity.

A key goal of modern data strategy, whether a data mesh, data fabric, data lake, or data warehouse, is to deliver access to data when and where it’s needed. Learn how AWS and Informatica can combine and automate data governance for access within a data marketplace. This solution combines Information’s data governance architecture and the Informatica Intelligent Data Management Cloud (IDMC) which orchestrates and automates data access management with AWS Lake Formation.

Exasol provides a high performance in-memory analytics database to give organizations the power to transform how they work with data. Working with AWS SaaS Factory, Exasol launched their analytics database through a SaaS model and navigated technical and business decisions for launch and beyond. In this Q&A, Peter Jackson, Chief Data and Analytics Officer at Exasol, shares insights on their journey and advice for organizations who are in the process of building SaaS on AWS.