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Simplify Metrics on Apache Druid With Rill Data and Cloudera

Cloudera

Cloudera users can securely connect Rill to a source of event stream data, such as Cloudera DataFlow , model data into Rill’s cloud-based Druid service, and share live operational dashboards within minutes via Rill’s interactive metrics dashboard or any connected BI solution. Cloudera Data Warehouse). Apache Hive.

Metrics 90
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Trakstar unlocks new analytical opportunities for its HR customers with Amazon QuickSight

AWS Big Data

This enabled our customers to see their data in a way they had never seen before. The power of QuickSight lets our customers slice and dice the data in different ways. As shown in the following screenshot, customers can filter by Review Process Type or Group Type and then take actionable next steps based on data.

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How OLAP and AI can enable better business

IBM Big Data Hub

Initially, they were designed for handling large volumes of multidimensional data, enabling businesses to perform complex analytical tasks, such as drill-down , roll-up and slice-and-dice. Early OLAP systems were separate, specialized databases with unique data storage structures and query languages.

OLAP 58
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Ten Hidden Gems In Google Analytics: Do Smarter Web Data Analysis!

Occam's Razor

Switch to User-ID by implementing Universal Analytics.]. We are also limited to the data Analytics collects by default. The bit we add to it is unique to our business, hence difficult for any analytics tool to address by default. For example, you are just getting going to the complex world of custom attribution modeling.

Analytics 155
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Accelerating revenue growth with real-time analytics: Poshmark’s journey

AWS Big Data

In this post, we share how Poshmark improved CX and accelerated revenue growth by using a real-time analytics solution. High-level challenge: The need for real-time analytics Previous efforts at Poshmark for improving CX through analytics were based on batch processing of analytics data and using it on a daily basis to improve CX.

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Simplify data loading into Type 2 slowly changing dimensions in Amazon Redshift

AWS Big Data

Organizations create data marts , which are subsets of the data warehouse and usually oriented for gaining analytical insights specific to a business unit or team. The star schema is a popular data model for building data marts. Data loading is one of the key aspects of maintaining a data warehouse.

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Embedded BI Can Encourage Data Literacy!

Smarten

‘When faced with the challenge of improving data literacy and enabling digital transformation, the business would do well to consider the Embedded BI with integration APIs approach.’. But how does an organization encourage the use of data analytics and help business users to become more comfortable with the use of data?