Remove Data Warehouse Remove Events Remove Slice and Dice
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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 87
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13 power tips for Microsoft Power BI

CIO Business Intelligence

Power BI no longer has its own streaming dataset option, but you can create a real-time dashboard using Azure Event Hubs and the Azure Stream Analytics no-code editor to enable business analysts to combine batched and streaming data in the same Power BI reports.

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Migration Supporting Real-Time Analytics for Customer Experience Management

Cloudera

Given the prohibitive cost of scaling it, in addition to the new business focus on data science and the need to leverage public cloud services to support future growth and capability roadmap, SMG decided to migrate from the legacy data warehouse to Cloudera’s solution using Hive LLAP. The case for a new Data Warehouse?

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Blending Art and Science: Using Data to Forecast and Manage Your Sales Pipeline

Sisense

There are multiple cases of leveraging data to drive better relationships between all these departments, better execution across all departments and best-in-class customer experience as a result of all departments working hand-in-hand with data at the center of all decisions. Key ways to optimize insights for sales. Was it pushed?

Sales 91
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What AI Means to a Retailer Dedicated to Customer Experience

Birst BI

Specialty’s Café and Bakery is a great example of a retailer that is using data to drive decisions related to product development and selection, inventories, staffing, and more to attract and keep customers. We could also apply AI to quickly adjust our product menu based on current events and trends.

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How Newcomp Analytics partners with IBM to advance clients’ supply chain insights

IBM Big Data Hub

Left to their own devices, they had resorted to using legacy reporting tools such as Excel that required manual gathering, slicing and dicing of data. Consequently, this data was siloed, unshareable, hard to use, lacked quality and governance controls, and could not be used in automated processes.

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

AWS Big Data

Thousands of customers rely on Amazon Redshift to build data warehouses to accelerate time to insights with fast, simple, and secure analytics at scale and analyze data from terabytes to petabytes by running complex analytical queries. Data loading is one of the key aspects of maintaining a data warehouse.