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Apache Spark review
Omar Khaled
Data Engineer at a tech company with 10,001+ employees
Empowering data consolidation and fast decision-making with efficient big data...
I can improve the organization's functions by taking less time to make decisions. To make the right decision, you need the right data, and a solution can provide this by hiring talent and employees who can consolidate data from different sources and organize it. Not all solutions can make this data fast enough to be used, except for...
Apache Spark review
Bharghava Raghavendra Beesa
Senior Developer at Infosys
Faster data transformations achieved but scheduling dependencies require external...
The Spark solution could improve in scheduling tasks and managing dependencies. Spark alone cannot handle sequential tasks, requiring environments like Airflow scheduler or scripts. For instance, one task should trigger another based on completion, however, Spark can't manage these dependent loads. We focus on specific compute tasks that we...
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