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Spark Training in Jaipur

Spark Training In Jaipur

Technoglobe is a leading Spark Training in Jaipur offers core Spark & advance Spark courses for software development more easy and reliable. User friendly web applications make users do their work in easy and clear way to complete their requirements. We provide Spark training in practical learning sessions, so that each concept can be explained to develop good development.

Technoglobe's vision is to provide high-quality education to students as well as working professionals to enhance their technical skills. With Technoglobe, you get a wide variety of career, professional, short-term & certification programs designed for the learning & industry needs of students & working professionals in the field of Information Technology.

Technoglobe's partnership with industry leaders such as Microsoft and HP also helps students obtain global certifications.

Spark training in Jaipur

Spark Training Course In Jaipur

Spark Training will help you to find good job or create chance for your promotion. We have plenty of experienced professional instructors who will teach you at best level with Spark that will help you to implement new stuffs. We designed this Spark course according to current demand of software industry.

Spark is an open source processing engine built around speed, ease of use, and analytics. If you have large amounts of data that requires low latency processing that a typical MapReduce program cannot provide.

Spark Course Training in Jaipur- Technoglobe is one of the best Spark training institute in Jaipur with 100% Placement Support. We provides real-time and placement focused Spark training in Jaipur. We have a track record of more than 1000 placements.

Spark Course Training In Jaipur

  • Basic understanding of Apache Hadoop and Big Data.
  • Basic Linux Operating System knowledge.
  • Basic understanding of the Scala, Python, R, or Java programming languages.
  • Introduction to Spark - Getting started
  • What is Spark and what is its purpose?
  • Components of the Spark unified stack
  • Resilient Distributed Dataset (RDD)
  • Downloading and installing Spark standalone
  • Scala and Python overview
  • Launching and using Spark’s Scala and Python shell ©
  • Resilient Distributed Dataset and DataFrames
  • Understand how to create parallelized collections and external datasets
  • Work with Resilient Distributed Dataset (RDD) operations
  • Utilize shared variables and key-value pairs
    • Spark application programming
    • Understand the purpose and usage of the SparkContext
    • Initialize Spark with the various programming languages
    • Describe and run some Spark examples
    • Pass functions to Spark
    • Create and run a Spark standalone application
    • Submit applications to the cluster
    • Introduction to Spark libraries
    • Understand and use the various Spark libraries
    • Spark configuration, monitoring and tuning
    • Understand components of the Spark cluster
    • Configure Spark to modify the Spark properties, environmental variables, or logging properties
    • Monitor Spark using the web UIs, metrics, and external instrumentation
    • Understand performance tuning considerations

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    (Corporate Office) : 36, 1st Floor, Basant Vihar, Opp. Bhandari Hospital, Gopalpura Bypass, Jaipur - 302018

    (Reg. Office) : A-46, Murti Kala Colony, Gopalpura Byepass, Gopalpura, Jaipur - 302018. Rajasthan (INDIA)


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