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Leveraging the Power of Tableau and Redshift on AWS Cloud for Better Analytics

21 May
By: ClearScale

The medical care industry has sometimes lagged behind other industries when it comes to adopting new technologies, like Big Data Analytics to make care more efficient and cost-effective. Due to the high demand for qualified specialists, the industry for years has relied on certain methodologies to help identify candidates for these types of roles which at times has been costly and not without issues. A client of ClearScale’s, an AWS Premier Consulting Partner, has attempted to solve this vexing

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Collecting and Enriching Data by Leveraging Snowplow for Deep Analytics

29 Mar
By: ClearScale

The Challenge Every second of every day, billions of data points are created in our online world. Making sense of all of the data and trying to find a singular piece of information that is useful, let alone actionable, is a daunting task. In the fast-moving world of news and media, being able to identify pertinent information out of all of the noise is not just important but a necessity. A large company in the global news space discovered this

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Discovering the Power of AWS Glue in Large Scale Data Analysis

08 Feb
By: ClearScale

The Challenge A modern technology-driven business is awash in mountains of sorted and unsorted data that can be challenging to transform into something that allows for deep analysis. From a development perspective, defining, building, and normalizing or cataloging data in a way that allows for easier analysis is a daunting task, especially if new data sets are identified as needing analysis.   Developers or database administrators have to create processes to extract the information from whichever repository it is stored in

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Data Analytics Company Gains Performance and Reduces Cost by Switching from Microsoft SQL to AWS Redshift + Tableau.

11 May
By: ClearScale

Capturing data and utilizing it for business needs is a relatively easy thing to accomplish if done correctly. Analyzing the data to look for patterns and trends is an entirely different issue. When companies decide to implement deep analytics to drive decision making, often implementing the suite of reports can be a challenge. This was partially true for our client, a real-time data analytics company, who approached us to help them find a better way of performing big data analytics

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