Category: Analytics

Onboarding data for operational analytics requires agility in taking disparate sources of data in varying formats and schemas, and then blending, cleaning, and restructuring that data for analysis. For many data analysts and data scientists, the majority of their work is tied up in this data preparation and cleaning process. Trifacta enables a diverse set of users with varying skill sets to quickly onboard new customer data by providing a unique user experience driven by visualizations and intelligent guidance—not code.

AgriWebb is a fast-growing startup based in Australia that chose Panoply to quickly set up a data stack and help them get a 360-degree view of the customer journey. Panoply’s data management platform is built on AWS and eliminates the development and coding typically associated with transforming, integrating, and managing big data. With Panoply, AgriWebb was able to revolutionize their understanding of customer behavior and their marketing funnel.

Logging data is the simplest act of collecting data for measurement and plays an important role in modern enterprises. But when this log data is large in volume, high in velocity, or has lots of variety across formats, it poses challenges for data storage, processing, and enrichment. Explore the features of Logz.io, a unified machine data analytics platform that collects and processes logs and metrics, while also identifying critical events with contextual information for intelligently acting upon them.

With the 2018 release of Amazon OpenSearch Service integration with Amazon Cognito, you can now enable corporate users to access OpenSearch with Kibana using your corporate directory credentials through identity federation. In this post, we share a step-by-step integration of Auth0 and Amazon Cognito. With Amazon Cognito User Pool, you can extend your directory so Auth0 users are able to log in to Kibana with the same security credentials.

Data is at the nucleus of informed decision-making. For many organizations, however, there are complicated processes that come into play before data can serve its true purpose. The Alteryx Platform is a self-service data science and analytics platform that enables organizations to take full advantage of their data and analytics assets through a drag-and-drop interface that is both code-free and code-friendly. The end-to-end platform empowers users to break data barriers and deliver business-critical insights faster.

With the 2018 release of Amazon OpenSearch Service integration with Amazon Cognito, you can now enable corporate users to access OpenSearch with Kibana using your corporate directory credentials through identity federation. In this post, we share a step-by-step integration of Active Directory (AD) and Amazon Cognito. With Amazon Cognito User Pool, you can extend your directory so AD users are able to log in to Kibana with the same security credentials.

Deloitte’s Gary Arora, an APN Ambassador, will show you how to integrate an application with Amazon Athena to execute SQL queries with ‘athena-express.’ This is a wrapper around the AWS SDK that can simplify executing SQL queries in Amazon Athena and fetch the JSON results in the same synchronous call—a capability well suited for many web applications. Developers can use ‘athena-express’ to help save time and effort in setting up the integration and focus on core application development.

Today’s businesses deal with many different varieties of data, including structured datasets stored in various repositories like a relational databse management system (RDBMS) or enterprise resource planning (ERP); semi-structured datasets like web logs and click-stream datasets; and unstructured datasets like images and videos. AWS provides a secure, scalable, comprehensive, and cost-effective portfolio of services that enable customers to build their data lake in the cloud.

AWS provides a broad set of managed services for data analytics that, along with a strong APN Partner community, can help you build a scalable, secure, and cost-effective data lake. Customers and APN Partners want to know how to put all these pieces so we created a new poster and video explaining the overall flow of data—from data collection, storage, and processing all the way to analytics and machine learning.

Despite advances in music-sharing technology, touring and live shows remain staples for emerging artists. How do artists and promoters align the reach of streaming services with fans’ physical locations to better plan, promote, and manage live shows? To answer this question, Vertical Trail partnered with Gigable to create a music platform and app that uses curated playlists, geo-based concert discovery, and online ticketing to close the gap between artists and their fans—all while building a formidable big data asset.