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Data Ingestion Pipeline for Big Data Aggregation and Analysis

11 Mar
By: ClearScale

The Challenge A financial analytics company's data analysis application had proved highly successful, but that success was also a problem. With a growing number of isolated data centers generating constant data streams, it was increasingly difficult to efficiently gather, store and analyze all that data. The company knew a cloud-based big data analytics infrastructure would help, specifically a data ingestion pipeline that could aggregate data streams from individual data centers into a central cloud-based data storage. Among the challenges in

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Migrating HDP Cluster to Amazon EMR to Save Costs and Ease the Upgrade Process

04 Mar
By: ClearScale

Big data has transformed the way companies conduct business. Through the careful analysis of large amounts of information, organizations can be empowered with modern decision-making capabilities that make it easier to draw conclusions and carry out actions based on accurate, relevant, and up-to-date data. Companies that embrace big data gain access to tools that can significantly reduce the cost of doing business. Using big data to help an organization lower costs requires a detailed understanding of how, when, and where

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Leveraging Amazon Kinesis Streams for Low Latency Data Ingestion

08 Jan
By: ClearScale

For many organizations, having so much data at their fingertips can be both a blessing and a curse. While lots of data of course provides teams with valuable insights that can guide effective decision making, such an avalanche of information can also be a struggle to sift through and make sense of. Data is also ever-changing — and it’s up to teams to keep up so that they’re always gleaning the most relevant insights. The teams that stand apart

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Discovering the Power of Amazon QuickSight for Business Intelligence Needs

01 Nov
By: ClearScale

In order for any organization to fully understand their business operations, customer base or established processes, there is a need to be able to evaluate key data points to determine current state and use the information to make informed decisions on how the business needs to operate. Many solutions exist today that organizations leverage to obtain these types of business intelligence (BI) analytics. Not all BI solutions are necessarily equal, however. Some solutions are complex and monolithic in nature and

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Using AWS Batch to Analyze and Extract Information from Large Document Data Stores

12 Sep
By: ClearScale

The growth of data stores has grown significantly over the last decade, especially with the introduction of IoT managed devices, such as medical devices. From a business perspective, attempting to run reporting and analysis against an ever-growing data store presents issues with some technologies due to the processing time it takes to do transformation routines on increasing volumes of information. When dealing with large volumes of data, finding ways to easily apply transformations and enrichment to data objects can be

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