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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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Dynamic Orchestration Workflow Using Apache Airflow

07 May
By: ClearScale

Data is the undisputed ruler that drives everything from business strategy and decisions to near real-time algorithmic workflows. In a data-rich world, capturing that information and processing it is a monumental task even when a clearly thought out architectural approach is implemented. When new data sources are found that require data extraction, transformation and loading (ETL) into a data store, often that activity is done with command-line requests, scheduled cron jobs or scripts that call scripts to achieve this activity

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