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Spark Use Cases in Finance Industry

September 3, 2020December 15, 2020
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Spark’s generalized abstraction and growing helper libraries mean that companies can use Spark for a vast number of usages. Recommendations and other personalizations using big data are a vast use case, covering companies such as Yahoo, Comcast, Ooyala, Conviva, and Netflix. Another case is data…

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Large cluster of machines in a fault-tolerant

September 3, 2020December 15, 2020
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MapReduce is a programming model and an associated implementation for processing and generating large data sets with a parallel, distributed algorithm on a cluster. The solution is to provide a distributed memory abstraction that lets programmer perform in-memory computation on a large cluster of machines…

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Modern distributed computing problems

September 3, 2020December 15, 2020
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While attending university, I recall more than a little time spent discussing the nuances and efficiency of various sorting algorithms. Those considerations seem largely irrelevant just barely a decade later. Modern distributed computing problems need a programming abstraction that is better than map-reduce, as an…

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Logical directed acyclic graph

September 3, 2020December 15, 2020
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In graph theory, a graph is a series of vertexes connected by edges. In a directed graph, the edges are connected so that each edge only goes one way. When a client submits a spark user-application code, the driver implicitly converts the code containing transformations…

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Dotnet core features top 10

September 3, 2020December 15, 2020
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Octopus Deploy provides the most value when it is used by your whole team. Developers and testers might be allowed to deploy specific projects to pre-production environments, but not production environments. Stakeholders might be permitted to view certain projects, but not modify or deploy them….

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Recent Posts

  • Spark documentation and RDD features
  • Spark-Scala the machine learning algorithm
  • Spark Use Cases in Finance Industry
  • Actions and different transformations spark
  • Large cluster of machines in a fault-tolerant

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